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Are Blue Zones a Mirage?

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Tuesday, April 1, 2025

Subscribe here: Apple Podcasts | Spotify | YouTube | Overcast | Pocket CastsDo you want to live forever? How about to at least 105? You’ve probably heard of blue zones—amazing places where people live disproportionately longer and healthier lives. From Okinawa, Japan, to Ikaria, Greece these regions of the world have captured the imagination of an aging world.Most of the advice that researchers have extracted from these places are what most people consider just common sense. Don’t stress too much or eat too much or drink too much alcohol. Make sure to eat plants and legumes, build community, and protect familial relationships.But while this might be fine advice, at least one researcher is skeptical that the underlying research holds up.On this week’s episode of Good on Paper, I talk with Dr. Saul Newman, a researcher at the University of Oxford and University College London, who seeks to debunk the blue-zones research with studies of his own. His critics accuse him of writing a “deeply flawed” paper, keeping the debate active. (You can read their arguments here.)Newman’s argument is pretty straightforward. The documentation certifying people’s births is really hard to verify, and there are many documented cases of age fraud. Some of that fraud is intentional—people claiming to be older than they are for cultural or financial benefit—and some is unintentional, thanks to shoddy recordkeeping or researchers getting fooled or making mistakes.While this debate rests on methodological questions that we can’t fully explore in this episode, Newman’s provocation raises important questions about how much we should trust some of the most popular ideas in longevity research.The following is a transcript of the episode:Jerusalem Demsas: According to Our World in Data, in 1800, not a single region of the world had a life expectancy longer than 40 years. By 2021, the global average life expectancy was more than 70 years. It’s still not enough. We want to live longer, healthier lives. What can we do about it?You’ve probably heard of “blue zones,” regions of the world where researchers claim to have found disproportionate numbers of people living into their hundreds. The first such Eden was Sardinia, Italy. Then Okinawa, Japan, and Loma Linda, California, among others.But in recent years, despite the prevalence of cookbooks and diets and Netflix docuseries about these places explaining how to learn from the lifestyles of people living in these regions, something hasn’t quite added up.My name’s Jerusalem Demsas, I’m a staff writer at The Atlantic and this is Good on Paper, a policy show that questions what we really know about popular narratives.Saul Newman is a longevity researcher at the University of Oxford and the University College London who has become convinced that this research doesn’t stand up to scrutiny. First, when he looks at the regions of the world designated blue zones, they just don’t look like particularly healthy places. The blue-zones theory claims that people live longer in these regions because of their naturally healthy lifestyles, but what Saul finds when he looks at these regions is low literacy, low incomes, high crime, and even short life expectancies relative to the national average. But even more tellingly, according to his research, introducing official birth certificates suspiciously coincides with a steep 69 to 82 percent fall in the number of people claiming to be over 109. A number of other statistical oddities indicate that the people claiming to be over 100 years old are either misleading us or are misled themselves.Here at Good on Paper, several of the studies we discuss are preprints, which means they haven’t finished going through the formal review process that can take years. We do this because waiting to discuss studies until after they’ve been through that process would mean missing out on tracking important live debates. But I say all that now because, while Saul is convinced of his findings, this is not yet a settled debate. The proponents of blue zones are fighting back and claim he “omits or misunderstands” how rigorous their methods are.But to hear his perspective on the science of longevity and why he doesn’t trust the blue-zones research, I’m excited to have Saul joining us today.Saul, welcome to the show!Saul Newman: Pleasure to be here.Demsas: So why do people die?Newman: Why do people die? Well, this is a fascinating question, and many of the people in aging research sort of still admit that we really don’t understand the fundamentals. So it’s actually a surprising thing that something so obvious is something we’re still figuring out. The best approximation we have at the moment is that we look at the inverse question: Why continue to live? What is the sort of evolutionary advantage of continuing to live?There are two main thoughts. One I favor, and another that’s quite out of date. The out-of-date one is this sort of Darwinian idea that we exist just to make children. And this is the idea that has the problems, because if we exist just to make children, you get stuck with all sorts of awkward questions, like why does menopause evolve? Why evolve not to have children? Why evolve to help other people at the cost of your own reproduction? And we know all these things happen, and they happen across the animal kingdom, which brings us to the second idea.And the second idea is that we evolve to pass on genes. And because we are related to so many different people, there are a lot of ways to pass on genes, including indirect ways where we help others. This is a sort of still-developing field in answering that question of why we exist, essentially. And it’s a very exciting one because it can explain things like the evolution of menopause, where we’re taking care of grandchildren.But it can also potentially explain a lot of traits that are very difficult to analyze. Traits like homosexuality don’t make sense in this sort of cruel, hard Darwinian sense of, Oh, you’re just a baby factory. But there is a potential to explain them using inclusive fitness. I mean, that said, there was also the flip-side argument to that: Why do I need to justify myself in terms of evolutionary theory in order to exist? Well, of course you don’t. So it’s a very difficult debate to get through, but it’s also an open question at this point.Demsas: What exactly is happening, though, when you die? Let’s say you don’t get an illness, right? Like, we know what happens when someone dies of a stroke or has a heart attack or has cancer or some other kind of long-running illness. But if you are just a generally healthy person—you’re in your 80s, or you’re in your 90s—what’s happening to your body?Newman: It is slowly degenerating, in functional terms. So this is, you know, often very hard to measure, because you have to define what the function of your body is to say, you know, how it’s degenerating, but there are sort of obvious signs. So your metabolic function declines with age. Obvious things, like your physical capacity to run a hundred meters, for example, declines with age. Mental capacity does decline, but it can be much slower. And you know, I think that’s really fascinating, because if you look at, for example, the rankings of top chess players, they decline, but they decline extremely slowly. But essentially, there’s this sort of general systemic decline as you get older in terms of how well you can function.Demsas: There’s a paper that I know that you wrote about this idea of, you know, as you get older, of course, your likelihood of death increases as you age. But there was a hypothesis that perhaps at a certain point, the rate at which you were likely to die kind of leveled off. So if you made it to 80, if you made it to 90—yes, your likelihood of dying every year was still, you know, elevated relative to a younger person, but it no longer was increasing significantly. What happened with that hypothesis?Newman: Well, this touches on the best way we have to measure age and aging, and the sort of functional decline is increases in the mortality rate, because once you hit about age 40 or 35, your odds of dying double at a sort of fixed clockwork rate.Demsas: Wait—what year was that?Newman: Around 35 to 40. It depends a little bit because—Demsas: Okay, great. Just logging that. (Laughs.)Newman: Yeah. It starts to decline earlier, but it’s obscured by something called the “accident hump.” And this is basically, like, what you do when you’re a teenager, right? There’s a big bump in mortality caused by, you know, cars running into trees or jumping off of buildings into swimming pools or whatever it happens to be. But this clockwork doubling means that your mortality, your odds of dying, double usually around every eight years, and there’s really nothing we can do about that.We can change the baseline, but every eight years, your odds of dying will double and double and double until you reach old age. And so in old age, there’s a hypothesis that mortality rates stop getting worse with age, and therefore that aging rates kind of stop or at least slow down considerably. Now, it doesn’t mean that things are getting better. You end up in this sort of Russian-roulette scenario where it’s a “see if your odds of dying flatten out.” And essentially, you’re playing Russian roulette every three months in terms of your mortality risk.And what does that mean in terms of human lifespan? So it means something very interesting. It means that there’s no actual limit to how long you can play roulette without losing. You know, there’s a probabilistic sort of cap where eventually you are going to lose.Demsas: Yeah, unless you’re the luckiest person alive.Newman: Exactly. So there’s nothing per se ruling out a run of good numbers. But the problem here is that this idea is something that has been fought over for 50-odd years and has not been resolved, because it may be that your odds of dying do keep doubling and doubling and doubling until they hit the odds of dying that equal to one, right? So this is what I call the “maximum survivable age.” And it’s not clear to scientists which of those two was correct—whether we strike a maximum survivable age, where we can’t possibly live older than this age, or whether we reach a sort of grim Russian-roulette scenario.Demsas: But life expectancy has improved remarkably over the 20th century. I mean, we’re seeing, you know, people with average lifespans of late ’70s in many developed nations, and rates of child mortality have declined significantly. So it seems like there’s a lot that policy, development, changes in public-health strategies can do to improve lifespan.Is it your sense that—I mean, you just kind of brought up this idea of a maximum survivable age. Is it your perception that there is a number—there is a threshold at which, despite all of these things that you can do to make yourself healthier, to make yourself better, the genetic selection that might exist over generations, there’s just not a chance that humans are gonna live to be 300, 400, etcetera?Newman: Well, in 2016, I waded into this debate because, like I said, there are two sides. And one of the sides had published an idea that there was this hard limit to maximum lifespan. And they published it in one of the most elite scientific journals there is. And I realized they had made colossal mistakes in their analysis—really just fundamental mistakes. They had rounded off most of their data to zero. They had accidentally deleted everyone who died in May and June, and just really made a complete mess of it. But they had argued for one case, and this case was that there’s a limit to how long you can live, a single limit.I had another group come along and argue the opposite. Now, the opposite was this Russian-roulette scenario. The problem was that they had done something even worse, because they had taken everybody in Italy over the age of 105 and used them to build this sort of flattening-out curve. And when they had made this curve, they needed to say what it was flattening out from. So they needed to say, Well, what’s the normal midlife probability of death, and how fast does it get worse? What it boiled down to is that they had picked out the only estimate from earlier life-mortality models that gave them a flattening-out result.So they had 861 options, and they chose the only option that gave them a significant result. So here I was, in the middle of a very vitriolic and long-running debate, saying that both camps were wrong. And I think both camps are wrong, because if you take that maximum survivable age and you estimate it, it doesn’t converge to a single value mathematically. And so in plain language, what that means is that if you grow up in a different environment, your maximum survivable age is different. And it moves over time, really clearly moves over time. So there is not one limit to human life. There is, at best, a smorgasbord of limits that depend on where you grew up, what population you’re in.Demsas: So essentially, there is a maximum survivable age, but it will differ based on the environmental and policy choices that are being made at that time. And so I guess that then the question just becomes, like, how much can you really do on environmental factors?So I want to get to this question about this theory of blue zones, which I think has become very popular. I mean, there’s been, you know, a popular book, a Netflix docuseries. It has inspired tons of attention.There are regions of the world where people have claimed to live remarkably long lives—past 80, even past 100—at rates higher than you would expect just based on if it was just distributed normally: places like Okinawa, in Japan; Loma Linda, California; Nicoya, Costa Rica; Sardinia, Italy; Ikaria, Greece. What was originally the evidence for the idea that these places were unusually good for long life?Newman: Well, the original evidence was rather amusing, actually, because like everything else in extreme-age research, there’s only one data source for human ages, and that’s documents. You know, you have government documents or informal documents that say, I’m this old. But the amusing factor was that the first blue-zone study found a bunch of people within Sardinia that seemed to be living a long time. They didn’t measure anyone outside of Sardinia. They decided that this was a global outlier for extraordinary ages, and they thought that incest, that people sleeping with each other was making this island—Demsas: I’ve never heard this. (Laughs.)Newman: It’s extraordinary. It doesn’t make it to the documentary—Demsas: —to the Netflix docuseries. (Laughs.)Newman: —for a very good reason. Yeah. I mean, there’s nobody making this lifestyle recommendation, I hope. (Laughs.)Demsas: Dear God.Newman: It’s kind of amazing. And that was the start of the blue zones.So, you know, I sort of vaguely knew about this idea while I was getting involved in this fight between the plateau people and the people who think there’s a limit to human life. And, you know, I sort of thought of it as an amusing aside, but as time went on, it became less and less amusing, more and more concerning—like, starkly concerning. And the reason is that everything in these studies is based on looking at documents and saying, Oh, they’re consistent.Demsas: You mean, like, birth certificates?Newman: I mean birth certificates. So there are a lot of problems with that, that really came out of the woodwork over time because, you know, it’s on paper.But when I started looking into these extreme-age cases, it really snowballed. Everything snowballed in a way that completely destroyed the idea and the underlying data of the blue zones. And effectively, you know, people are just believing their own fairy tales here. This really, you know, goes beyond cases, though, because early on in the investigation, I discovered that Japan, where it was claimed Japan had among the world’s best evidence for birth records. And in 2010, it turned out that 82 percent of the people over the age of 100 in the country were dead.Demsas: And was it pension fraud, or what?Newman: It was not pension fraud. It was the remarkable fact that in Japan, the household has to register your death, and if you are the last person in the household and you are dead, how do you do that?Demsas: Oh, wow.Newman: So they had, like, literally hundreds of thousands of people who had died in World War II or had died subsequently, and who were just getting older on paper, including the oldest man in Tokyo and the oldest woman in Tokyo.Demsas: Were they paying them, like, Social Security?Newman: Oh, yes.Demsas: Like, what was happening? Where was the money going?Newman: Well, in the case of the oldest man in Tokyo, the money was going to the family. And he was an extraordinary case that kicked off this investigation because—so there’s a sort of week in Japan where there’s a respect for the aged [day], and in preparation, city officials in Tokyo had gone looking for the oldest man. And eventually, they found out that the oldest man was in Tokyo, but he’d been dead in his apartment for 30 years, and his family were living in the apartment. And the oldest man in Tokyo had been steadily collecting his pension checks.Now, what’s extraordinary about that is that his paperwork was perfectly in order. Like, if you handed their paperwork to a demographer, they would not be able to see anything wrong with it. I mean, it’s not like you die and automatically a form pops out in the central bureaucracy, right? There’s no actual way to know.So it turned out that most extreme-old-age data was undetected errors, and this happened in every blue zone.Demsas: So you went through all the blue zones and saw the same pattern?Newman: I went through all the blue zones. The same thing happened. In Greece, at least 72 percent of the people in Greece who were over age 100 were collecting their pension checks from underground. And what’s remarkable about that is they had just passed a government audit, despite being dead. They passed a government audit in 2011, and in 2012, the government turned around and said, Actually, all those people were dead.Demsas: So walk me through this a little bit, because I think there’s a few different arguments that you’re making here. One is that there are places where it’s quite difficult to know what’s happening with the population, because there’s [a situation] like what you mentioned in Japan, where the reporting of death is happening in a method where you actually can’t validate, when the oldest person in a household has died.And then there’s a second strand of things, which is that people are actively committing fraud because of pensions and Social Security or other sorts of welfare benefits. And then there’s a third, which is just that these documents are not consistent or good, and so when demographers are trying to do this kind of research, they’re ending up having to rely on pretty shoddy documentation or to make broad claims.So how much of this is happening in each place? Like, what do you think is most prevalent?Newman: We don’t know what’s most prevalent. I mean, this is actually part of the problem: that we can see when an error has happened, but if we have documents in front of us that look good, we don’t know if they’re in error or not. And this pattern repeats itself. So there are many, many ways. There’s a whole layer cake of different methods by which you can screw up someone’s age.Like you said, you can just write it down wrong at the start. There was a case where the world’s oldest man was actually just his younger brother, and they just swapped documents. It’s completely undetectable, and it’s happened three times. And there are other cases where there’s active pension fraud. I mean, there’s also cases where you just have someone who is illiterate and has picked up the wrong documents. The list goes on and on and on.But the point is that demographers keep validating these people, and then decades—or even in one case, a century later—find out that they aren’t who they say they are. And that process is pretty much random. So you have to ask yourself, you know, what happens to a field over the course of more than a century when the data can only be checked for being consistent? You can’t actually tell if it’s true?And I think it really set up this extraordinary disaster where not only are the blue zones based on data that doesn’t make sense; we actually have this sort of fundamental problem in looking at the oldest people within our society. Blue zones are an exemplary case of this, but it’s more general.So to give you an example, health in the blue zones was poor before, during, and after they were established. Even in America, at least 17 percent of people over the age of 100 were clerical errors, missing, or dead—at least 17 percent. Many of them just did not have birth certificates. And we have no way of knowing. Like, it’s not as if I can take a person into a hospital, and they can put them into a machine, and it tells me how old they are.Demsas: Cut their arm off and count the rings (Laughs.)Newman: Exactly. The old pirate joke. You cut the leg off and count the rings. You can’t do that.Demsas: Yeah.Newman: And that means we are just taking all of this evidence at face value. Normally, that would be fine. Right? And this is where I’m going to apologize for talking numbers. But this is a theoretical result I came up with in 2018.Let’s imagine you have 100,000 people who are 50, really 50. Like, they’ve got their documents, everything. And then you have an extraordinarily low rate of error in which you take 100 40-year-olds, and you give them documents to say they’re 50. If you do that, normally you’d expect, Oh, I can just ignore this. My statistical model will take care of it as noise. But something happens instead that is extraordinary, because those 40-year-olds are, like I said, less than half as likely to die than the real data. So your errors have a lower rate of dying and being removed from the population than your real data—Demsas: Wait—sorry. Can you explain that? I don’t understand.Newman: So you remember: I told you about the clock where your mortality rate doubles every eight years? That means if, let’s say—and I call them “young liars.” If my young liars are eight years younger, their odds of dying day to day are half. So the errors have half the mortality rate of the real data. Every eight years, the percentage of errors doubles, and by the time you get to 100, every single person or almost every single person is an error.So you can’t ignore these tiny error rates. It doesn’t matter what country you’re in. It doesn’t matter where you are. You can’t just pretend they don’t exist, because they build up in this weird, nonlinear way over time, and it means that you would actually mathematically expect all of the oldest people in the world to be fake. So, you know, I’ve published this in a scientific journal. No one’s ever been able to argue the math, but they do not want to face up to sort of the repercussions of this.Demsas: Yeah. Part of this is very familiar to me. I don’t have a birth certificate. I was born in Addis Ababa, Ethiopia, and the only document I have about my birth and parentage is a baptismal certificate, where I’m pretty sure it was filled out by a member of the church that I was baptized into. I’m not joking: It’s written in teal ink.We were asylum seekers here. I’m, like, taking this to the State Department. I’m like, I swear to God, my father is my father. You literally have to give me a passport. I’m a citizen here. And it was such—it was awful. It was such a hassle. And then—now I’m getting off topic here, but—my brother had to get a DNA test to prove that our parents were his parents in order to get his driver’s license eventually, and his passport. So I’m very familiar with this.And there’s another phenomenon—which, I mean, I don’t know if this is something that you’ve seen in your research—wherein some cultures and communities, of course, being older is, like, quite an advantage. And so there will be people who you’re like, I know how old you are, but you are telling everyone you are 10 to 15 years older than you are. Have you seen this in your research?Newman: All the time. Yeah, I mean, constantly. There was a study in the BBC a couple of months ago where they looked at heart age. And this is a National Institute on Aging–funded study on people in the rainforest, right? And they say, We don’t have any idea how old we are. And the headline is, Oh, these people have really young hearts for their age. You know, they don’t know their age. They’re literally telling you, We are making it up.And, you know, if you have any doubts about the blue zones, there used to be something called the “longevity zones” that predates the blue zones. It was put out by National Geographic in exactly the same way. It had exactly the same hallmarks of, Oh, you live in a mountainous region that’s very remote, and you eat yogurt and vegetarian diets.And it was exactly what you’re saying. These people gave status to village elders, so people were inflating their ages to an extraordinary degree. They were saying, I’m 122. And that’s all it was. You know, this was three regions across the world: Soviet Georgia, where apparently yogurt was the secret; the Vilcabamba Valley, in Ecuador; and the Hunza Valley, in Pakistan. These were the blue zones, and every single case was based on rubbish recordkeeping. And, you know, it just seems to be that’s exactly what’s happened again.[Music]Demsas: After the break: Even if blue zones aren’t real, does that really change how we think about living longer?[Break]Demsas: The thing I’m wrestling with when I engage with this, because, you know, you have published this work; you’ve written about it in the Times and other places. But the fundamental idea that there are locations that are better for people’s lifespans seems not overturned by this, right?Like, we know that location matters a lot for health outcomes, air pollution in particular. It feels like there’s a new paper every other week showing that there’s massive impacts of air pollution on life expectancy, on cognitive functioning, on general health. Is the fundamental concept that there are certain places where people are going to live longer still one that we should be putting more research into?Newman: I think that’s not controversial. But I also think it’s very well understood, for exactly the reasons you say. There’s a study every week on average life expectancy. And what’s striking about this is that those places are very different from the places that get extreme life expectancy.So I basically took a sample of 80 percent of the world’s 110-year-olds and most of the world’s 105-year-olds, and looked at their distribution within countries. So I’m sitting in London right now. And in all of England, the place with the best rate of reaching 105 was the single poorest inner-city suburb with the single fewest number of 90-year-olds.So those two things—where it’s good to live, on average, and where it’s good to reach extreme old age—were exactly the opposite. This is like saying Flint, Michigan, is the healthiest place in the U.S.A. No shade on Flint, Michigan. The government is really the cause of this, but it does not make any sense. It fundamentally doesn’t make any sense. And it gets even worse when you start looking at the details.So the single U.S. blue zone is Loma Linda. I mean, the CDC measured Loma Linda for lifespan. They measure it, and it is completely and utterly unremarkable.Demsas: I’m not, you know, deeply reporting in the longevity space here, but the way that you have talked about your interactions with some of these authors makes me think it’s an especially contentious field. Why has it kind of remained so difficult to sort of overturn this popular narrative around blue zones?Newman: Well, it makes a lot of money.Demsas: Yeah.Newman: It’s really that simple. I mean, there are multiple best-selling cookbooks, you know. And I’d like to point out, of course: Don’t take your health advice from cookbooks. Its really sort of needs reinforcing every now and again. (Laughs.) But, you know, if you really had a cure for aging, you’d be winning the Nobel Prize.Demsas: You wouldn’t be writing a cookbook? (Laughs.)Newman: You would not be writing a cookbook. You wouldn’t be on late-night television, you know, making a sales pitch. You’d just be like, I want my Nobel Prize. I have a cure for all diseases. Where’s my money? It’s really fundamental.But there is another aspect to this in that a lot of research careers are built on examining the oldest old, and even more research careers are built on just assuming that birth-certificate ages are correct. And to show that they’re not correct in an undetectable fashion on such a massive scale threatens a lot of people’s research careers.Demsas: But part of the thing that I find interesting about the blue zone’s recommendations is that a lot of them are things that are just straightforwardly good advice, right? Move naturally. Have a sense of purpose. Stress less. Don’t eat too much. Eat beans and legumes. Have community. Put your family first. The only one that I think is potentially not actually good is: Drink alcohol in moderation. But the rest of them are generally associated with good health to different extents and, you know, with longevity to different extents.I guess, like, what drove you to become so interested in pushing back on this narrative, given that the advice that people are getting is generally still, like, you know, good health advice? Like, you probably should do most of these things if you’re not already.Newman: Well, I think the problem is the way in which the people in these regions are really kind of culturally being exploited. Because they don’t bear any connection to what actually happens in the blue zones. And I think that was what really drove it home for me, is that you have this sort of flavor of some guy who turns up for a few weeks, looks around, decides it’s the ikigai, and goes home. And if you actually go to the government of Japan, they’ve been measuring Okinawa, for example, since 1975. And every single time they’ve measured Okinawa, it has had terrible health. It has been right at the bottom of the pile.Demsas: Wow.Newman: I’ll take you through some statistics that were robustly ignored by people in selling these blue-zones ideas. Body mass index is measured in Okinawa and compared to the rest of Japan, and it’s measured in over-75-year-olds. So if you go back to 1975, that’s people born 1900 or before, and they measure how heavy they are. They have been last every year, by a massive margin.And then you look at the next claim. So that sort of knocks a hole in the “move naturally” claim. The “move naturally” claim also has this sort of idea that people grow gardens in the blue zones, right? The government of Japan measures that, and they are third to last out of 47 prefectures, after Tokyo and Osaka, where everyone lives in a high-rise. They don’t grow gardens. And we’ve known that since the beginning of records.And then you look at the idea that they eat plants. It seems really noncontroversial. But people in Okinawa do not eat their veggies. And we know this because we ask them. They’re last in the consumption of root vegetables, last in the consumption of leafy vegetables, last in the consumption of pickled vegetables. They’re third from the top in other raw meat. You know, they eat 40 kilograms of meat a year, at least, which is way above the global and national average. And even sweet potato—sweet potato is on the front of the Netflix documentary, these purple sweet potatoes—they are last for sweet potato consumption out of all the 47 prefectures of Japan.Demsas: Wow. Okay.Newman: And they always have been. There’s another idea that, you know, they have a sense of belonging, that they belong to a faith-based community. They’re 93.4 percent atheist. They’re third to last in the country, and it is a very atheist country. So the problem is that none of these claims have any connection to reality whatsoever.Demsas: Yeah.Newman: And it’s been sitting in the open for decades.Demsas: Have you become a lot more cynical about scientific research as a result of this?Newman: Oh, I mean, absolutely. It’s extraordinary, the sort of cognitive dissonance that goes on. And really, I mean, all of these claims just have no connection to reality. And you see this sort of sad thing playing out with the locals, where a beach resort will get built. People will fly in for three days, and they’re still sitting there going, like, Why don’t we have a hospital? Why are we all still poor?You know, just basic social problems get overlooked because of this. So yeah, it has made me much more cynical, because these, I guess you would call them “lumps and bumps,” should have been obvious right from the point when someone said incest was good for living a long time.Demsas: So, like, I mean, preregistration helps reduce a lot of issues in social science. There’s also been increasing attempts to subject, you know, big findings, important findings to replication by various groups and individuals.I mean, is there something fundamental that you think needs to happen differently in terms of how reputable journals accept new findings? Do you think that all the data needs to be open? What needs to happen here to prevent these sorts of problems in the future?Newman: In short, the answer is: really a lot.Demsas: Yeah.Newman: The slightly less short answer is that the core of science is reproducibility. It is the core idea. And these results are not reproducible. And it’s not just that they’re not reproducible. After 20 years, nobody has published the underlying data. And there needs to be a much heavier emphasis on replication in science and on testing claims—especially profitable claims—before they’re just thrown out into the open.Because, you know, I find it amazing. This is something that was discussed at an elite level at the World Economic Forum. Now, we cannot have a cookbook-based piece of lifestyle advice governing global health. So we need to really rejig the—I mean, first, the level of skepticism in science needs to go up considerably. And second, we need to really start hitting back on papers that need to be retracted, papers that need to be removed from the scientific record because they do not replicate or because, you know, like the first two—the studies I pointed out here—because they’re based on extremely questionable choices.Demsas: So most people listening to this will have heard of this topic before, but have you found anything that indicates it’s been especially influential in public health in that policy makers are taking it quite seriously as a way of trying to push different nonvalidated recommendations?Newman: Yes. I mean, the presentation at the World Economic Forum is really a low point, an extraordinary low point. But I think what is, like I said, more troubling is that you have an entire machinery of public health here that didn’t spot how completely wrong this is. In retrospect, it’s so wrong that everybody’s sort of giggling. But it’s been 20 years of this being perhaps the most popular idea in demography.And so I get worried about this because I’ve just completed a new study. And in this new study, I have taken every single 100-year-old in the world and analyzed where they’re from and what countries attain the age of 100 at the highest rates. And to do this, I took United Nations data contributed by every government on Earth, in good faith, with the best efforts at data cleaning—both by the governments and by the UN. And the places that reach 100 at the most remarkable rates don’t make any sense.Malawi, which is one of the 10 poorest countries on Earth, is in the top 10, and it’s in the top 10 routinely. You know, Western Sahara, which is a region that does not have a government, is one of the best places in the world for reaching 100, according to the UN. I mean, that’s fundamentally absurd. And it’s fundamentally absurd that it has been 70 years that this data has been produced for, and nobody has noticed the absurdity. And I find that deeply shocking.Puerto Rico was one of the top 10, and that initially passed muster. You’ve got a place in a rich country that has a long history of birth certificates, until you realize that this is one of the best places in the world for reaching 100, and the reason seems to be that the birth certificates are so badly documented that they restarted the entire system in 2010. They said, Birth certificates are no longer legal documents. They threw it all out and started again because of systemic levels of error.Demsas: Wow.Newman: And that’s how you reach 100.Demsas: Yeah.Newman: You just write your age down wrong. And you know, there is this sort of public-health element that is deeply troubling because you are one of the people in the world that doesn’t have a birth certificate, and you’re not alone.Demsas: Yeah.Newman: A quarter of children now don’t have a birth certificate—a quarter of all children. And we are just ignoring that.Demsas: I want to take a step back because I think that even though I think that this is deeply troubling, there is still a desire—I mean, part of the reason why there’s such a focus on this issue is people really want to figure out how to extend their life. Every year they get older, they’re, you know, deeply concerned with yoga, with protein intake, with lifting weights. A lot of different things begin to occupy your mind as the number turns to 3, 4, 5 at the beginning of your age.I want to ask about how much we know about the role of environmental versus genetic factors in determining longevity. Is all of this effort to try and tweak our life expectancy—is it really that worth it, or is it largely just a question of your genetics kind of determining what your life expectancy is going to be?Newman: I mean, there’s good news and bad news. And I’ll start with the bad news. The bad news is—well, it depends on your perspective, I suppose. The bad news is that the people who live the longest, on average, are born into rich countries with free health care. It’s that simple. The good news is: When it comes to the environment, it plays a big role, a very big role in how long you live. And there is a lot you can do about it, not a single one of which costs any money, right?So I’ll break it down. The simple things that we really know about lifespan: Don’t drink. There you’ll get, it depends, but if you [weren’t] going to get addicted, you’ll get about an extra 30 years of lifespan over what you would if you got addicted to alcohol. And for context, the CDC estimates that that’s about the same as heroin addiction. But if you drink without getting addicted and give up drinking, you’re still going to gain roughly three to four years.Demsas: Wow. Okay.Newman: Right. So that’s simple.Don’t smoke: You’ll gain about seven years. Do some exercise: You’ll get probably—it depends how much you exercise, but let’s say four years. And go to your GP, and that’s it. You don’t need to buy the cookbook.I think the reason the cookbook sells so well is that those three things are somewhat difficult, right? They’re kind of hard, and I think this is why longevity cures perennially do so well, is that they’re always easier than those three things. Almost always, you know, the ones that do well. And that is what underpins this market. But if you really want to live a longer time, just don’t drink; don’t smoke; do some exercise.Demsas: Well, tell me a little bit more about the genetic factors here. I mean, there was a study I saw that looked at 20,000 Nordic twins born in the late 1800s, and found that genetic differences had negligible impacts on survival before about age 60, but after age 60 and particularly those reaching their 80s and beyond, genetic factors become more important. I don’t know if you’ve seen that paper or if you’ve seen other research about this, but what do we know about the role of genetics in longevity?Newman: I haven’t seen that paper, but I’ve seen some extraordinarily bad papers on the roles of genetics and longevity. There’s just something called a genome-wide-association study, where you effectively say, you know, what genes are associated with extreme longevity. And I’ve seen that conducted on sample sizes of less than 200 people, which is, I mean—it’s a bit like saying you’ve got a space program when you let go of a carnival balloon. It’s a joke.So I would be extremely skeptical of longevity claims. You know, there is just this fundamental problem with our documents that if you go into that study and dive into that study, you’ll realize that they, like everybody else, have to trust what is written down on the piece of paper that says how old these people are.And there’s no way to check that. You know, I think we’re on the edge of a situation where you can. There have been some extraordinary scientific advances in estimating people’s age, but nobody seems to want to face up to that fundamental problem yet.Demsas: Well, Saul, this has been fantastic. Always our last and final question: What is something that you thought was a good idea but ended up being just good on paper?Newman: I’ll tell you something that turned out to be bad on paper in the moment. When I was an undergrad, it’s kind of like someone said to me, Go to the best U.K. university. It’s the one in Oxford, Oxford Brooks, which is not the University of Oxford. They told me completely the wrong university to go to, and I’d gone to it. And so to sort of crawl my way out of this hole, I found out that my university offered an exchange program to the Ivy League. And it was the first year they’d run it. So they just didn’t understand how much it was gonna cost.Demsas: Okay.Newman: And I was like, Great. I could be the poorest kid in the Ivy League, right? So I went on exchange, but without me knowing it, they realized how much it cost and pulled my visa status after the first six months. So I wound up in the FBI building in L.A., you know, in a locked elevator, going to one of the rooms for an interview, just completely not knowing that I’d overstayed.Demsas: Is that even a good on paper? That just sounds like you got screwed.Newman: Yeah. I mean, yeah, it’s as close as I got. I mean, it was good on paper right up until that point.Demsas: Yeah. What school were you going to?Newman: I was going to Ithaca—Cornell, in Ithaca—and paying, I think, $1,000 a semester in student loans.Demsas: Oh my gosh. That is, like, one of those things where you really gotta check to see if that deal’s going to pan out.Newman: Yeah, I think it worked out long term, but short term, yeah, not so great.Demsas: Well, this was great. Thank you so much for coming on the show.Newman: Thank you very much. It’s been a real pleasure.Demsas: If you like what you heard on today’s episode, I have a suggestion for you! My colleagues here at The Atlantic are exploring how we talk about aging, in our newest How To series. You can hear a trailer at the end of this episode, and then go subscribe to How to Age Up, coming April 7, wherever you listen to podcasts.[Music]Demsas: Good on Paper is produced by Rosie Hughes. It was edited by Dave Shaw and fact-checked by Ena Alvarado. Rob Smierciak composed our theme music and engineered this episode. Claudine Ebeid is the executive producer of Atlantic audio. Andrea Valdez is our managing editor.And hey, if you like what you’re hearing, please leave us a rating and review on Apple Podcasts. I’m Jerusalem Demsas, and we’ll see you next week.

The age detectives are fighting.

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Do you want to live forever? How about to at least 105? You’ve probably heard of blue zones—amazing places where people live disproportionately longer and healthier lives. From Okinawa, Japan, to Ikaria, Greece these regions of the world have captured the imagination of an aging world.

Most of the advice that researchers have extracted from these places are what most people consider just common sense. Don’t stress too much or eat too much or drink too much alcohol. Make sure to eat plants and legumes, build community, and protect familial relationships.

But while this might be fine advice, at least one researcher is skeptical that the underlying research holds up.

On this week’s episode of Good on Paper, I talk with Dr. Saul Newman, a researcher at the University of Oxford and University College London, who seeks to debunk the blue-zones research with studies of his own. His critics accuse him of writing a “deeply flawed” paper, keeping the debate active. (You can read their arguments here.)

Newman’s argument is pretty straightforward. The documentation certifying people’s births is really hard to verify, and there are many documented cases of age fraud. Some of that fraud is intentional—people claiming to be older than they are for cultural or financial benefit—and some is unintentional, thanks to shoddy recordkeeping or researchers getting fooled or making mistakes.

While this debate rests on methodological questions that we can’t fully explore in this episode, Newman’s provocation raises important questions about how much we should trust some of the most popular ideas in longevity research.

The following is a transcript of the episode:


Jerusalem Demsas: According to Our World in Data, in 1800, not a single region of the world had a life expectancy longer than 40 years. By 2021, the global average life expectancy was more than 70 years. It’s still not enough. We want to live longer, healthier lives. What can we do about it?

You’ve probably heard of “blue zones,” regions of the world where researchers claim to have found disproportionate numbers of people living into their hundreds. The first such Eden was Sardinia, Italy. Then Okinawa, Japan, and Loma Linda, California, among others.

But in recent years, despite the prevalence of cookbooks and diets and Netflix docuseries about these places explaining how to learn from the lifestyles of people living in these regions, something hasn’t quite added up.

My name’s Jerusalem Demsas, I’m a staff writer at The Atlantic and this is Good on Paper, a policy show that questions what we really know about popular narratives.

Saul Newman is a longevity researcher at the University of Oxford and the University College London who has become convinced that this research doesn’t stand up to scrutiny. First, when he looks at the regions of the world designated blue zones, they just don’t look like particularly healthy places. The blue-zones theory claims that people live longer in these regions because of their naturally healthy lifestyles, but what Saul finds when he looks at these regions is low literacy, low incomes, high crime, and even short life expectancies relative to the national average. But even more tellingly, according to his research, introducing official birth certificates suspiciously coincides with a steep 69 to 82 percent fall in the number of people claiming to be over 109. A number of other statistical oddities indicate that the people claiming to be over 100 years old are either misleading us or are misled themselves.

Here at Good on Paper, several of the studies we discuss are preprints, which means they haven’t finished going through the formal review process that can take years. We do this because waiting to discuss studies until after they’ve been through that process would mean missing out on tracking important live debates. But I say all that now because, while Saul is convinced of his findings, this is not yet a settled debate. The proponents of blue zones are fighting back and claim he “omits or misunderstands” how rigorous their methods are.

But to hear his perspective on the science of longevity and why he doesn’t trust the blue-zones research, I’m excited to have Saul joining us today.

Saul, welcome to the show!

Saul Newman: Pleasure to be here.

Demsas: So why do people die?

Newman: Why do people die? Well, this is a fascinating question, and many of the people in aging research sort of still admit that we really don’t understand the fundamentals. So it’s actually a surprising thing that something so obvious is something we’re still figuring out. The best approximation we have at the moment is that we look at the inverse question: Why continue to live? What is the sort of evolutionary advantage of continuing to live?

There are two main thoughts. One I favor, and another that’s quite out of date. The out-of-date one is this sort of Darwinian idea that we exist just to make children. And this is the idea that has the problems, because if we exist just to make children, you get stuck with all sorts of awkward questions, like why does menopause evolve? Why evolve not to have children? Why evolve to help other people at the cost of your own reproduction? And we know all these things happen, and they happen across the animal kingdom, which brings us to the second idea.

And the second idea is that we evolve to pass on genes. And because we are related to so many different people, there are a lot of ways to pass on genes, including indirect ways where we help others. This is a sort of still-developing field in answering that question of why we exist, essentially. And it’s a very exciting one because it can explain things like the evolution of menopause, where we’re taking care of grandchildren.

But it can also potentially explain a lot of traits that are very difficult to analyze. Traits like homosexuality don’t make sense in this sort of cruel, hard Darwinian sense of, Oh, you’re just a baby factory. But there is a potential to explain them using inclusive fitness. I mean, that said, there was also the flip-side argument to that: Why do I need to justify myself in terms of evolutionary theory in order to exist? Well, of course you don’t. So it’s a very difficult debate to get through, but it’s also an open question at this point.

Demsas: What exactly is happening, though, when you die? Let’s say you don’t get an illness, right? Like, we know what happens when someone dies of a stroke or has a heart attack or has cancer or some other kind of long-running illness. But if you are just a generally healthy person—you’re in your 80s, or you’re in your 90s—what’s happening to your body?

Newman: It is slowly degenerating, in functional terms. So this is, you know, often very hard to measure, because you have to define what the function of your body is to say, you know, how it’s degenerating, but there are sort of obvious signs. So your metabolic function declines with age. Obvious things, like your physical capacity to run a hundred meters, for example, declines with age. Mental capacity does decline, but it can be much slower. And you know, I think that’s really fascinating, because if you look at, for example, the rankings of top chess players, they decline, but they decline extremely slowly. But essentially, there’s this sort of general systemic decline as you get older in terms of how well you can function.

Demsas: There’s a paper that I know that you wrote about this idea of, you know, as you get older, of course, your likelihood of death increases as you age. But there was a hypothesis that perhaps at a certain point, the rate at which you were likely to die kind of leveled off. So if you made it to 80, if you made it to 90—yes, your likelihood of dying every year was still, you know, elevated relative to a younger person, but it no longer was increasing significantly. What happened with that hypothesis?

Newman: Well, this touches on the best way we have to measure age and aging, and the sort of functional decline is increases in the mortality rate, because once you hit about age 40 or 35, your odds of dying double at a sort of fixed clockwork rate.

Demsas: Wait—what year was that?

Newman: Around 35 to 40. It depends a little bit because—

Demsas: Okay, great. Just logging that. (Laughs.)

Newman: Yeah. It starts to decline earlier, but it’s obscured by something called the “accident hump.” And this is basically, like, what you do when you’re a teenager, right? There’s a big bump in mortality caused by, you know, cars running into trees or jumping off of buildings into swimming pools or whatever it happens to be. But this clockwork doubling means that your mortality, your odds of dying, double usually around every eight years, and there’s really nothing we can do about that.

We can change the baseline, but every eight years, your odds of dying will double and double and double until you reach old age. And so in old age, there’s a hypothesis that mortality rates stop getting worse with age, and therefore that aging rates kind of stop or at least slow down considerably. Now, it doesn’t mean that things are getting better. You end up in this sort of Russian-roulette scenario where it’s a “see if your odds of dying flatten out.” And essentially, you’re playing Russian roulette every three months in terms of your mortality risk.

And what does that mean in terms of human lifespan? So it means something very interesting. It means that there’s no actual limit to how long you can play roulette without losing. You know, there’s a probabilistic sort of cap where eventually you are going to lose.

Demsas: Yeah, unless you’re the luckiest person alive.

Newman: Exactly. So there’s nothing per se ruling out a run of good numbers. But the problem here is that this idea is something that has been fought over for 50-odd years and has not been resolved, because it may be that your odds of dying do keep doubling and doubling and doubling until they hit the odds of dying that equal to one, right? So this is what I call the “maximum survivable age.” And it’s not clear to scientists which of those two was correct—whether we strike a maximum survivable age, where we can’t possibly live older than this age, or whether we reach a sort of grim Russian-roulette scenario.

Demsas: But life expectancy has improved remarkably over the 20th century. I mean, we’re seeing, you know, people with average lifespans of late ’70s in many developed nations, and rates of child mortality have declined significantly. So it seems like there’s a lot that policy, development, changes in public-health strategies can do to improve lifespan.

Is it your sense that—I mean, you just kind of brought up this idea of a maximum survivable age. Is it your perception that there is a number—there is a threshold at which, despite all of these things that you can do to make yourself healthier, to make yourself better, the genetic selection that might exist over generations, there’s just not a chance that humans are gonna live to be 300, 400, etcetera?

Newman: Well, in 2016, I waded into this debate because, like I said, there are two sides. And one of the sides had published an idea that there was this hard limit to maximum lifespan. And they published it in one of the most elite scientific journals there is. And I realized they had made colossal mistakes in their analysis—really just fundamental mistakes. They had rounded off most of their data to zero. They had accidentally deleted everyone who died in May and June, and just really made a complete mess of it. But they had argued for one case, and this case was that there’s a limit to how long you can live, a single limit.

I had another group come along and argue the opposite. Now, the opposite was this Russian-roulette scenario. The problem was that they had done something even worse, because they had taken everybody in Italy over the age of 105 and used them to build this sort of flattening-out curve. And when they had made this curve, they needed to say what it was flattening out from. So they needed to say, Well, what’s the normal midlife probability of death, and how fast does it get worse? What it boiled down to is that they had picked out the only estimate from earlier life-mortality models that gave them a flattening-out result.

So they had 861 options, and they chose the only option that gave them a significant result. So here I was, in the middle of a very vitriolic and long-running debate, saying that both camps were wrong. And I think both camps are wrong, because if you take that maximum survivable age and you estimate it, it doesn’t converge to a single value mathematically. And so in plain language, what that means is that if you grow up in a different environment, your maximum survivable age is different. And it moves over time, really clearly moves over time. So there is not one limit to human life. There is, at best, a smorgasbord of limits that depend on where you grew up, what population you’re in.

Demsas: So essentially, there is a maximum survivable age, but it will differ based on the environmental and policy choices that are being made at that time. And so I guess that then the question just becomes, like, how much can you really do on environmental factors?

So I want to get to this question about this theory of blue zones, which I think has become very popular. I mean, there’s been, you know, a popular book, a Netflix docuseries. It has inspired tons of attention.

There are regions of the world where people have claimed to live remarkably long lives—past 80, even past 100—at rates higher than you would expect just based on if it was just distributed normally: places like Okinawa, in Japan; Loma Linda, California; Nicoya, Costa Rica; Sardinia, Italy; Ikaria, Greece. What was originally the evidence for the idea that these places were unusually good for long life?

Newman: Well, the original evidence was rather amusing, actually, because like everything else in extreme-age research, there’s only one data source for human ages, and that’s documents. You know, you have government documents or informal documents that say, I’m this old. But the amusing factor was that the first blue-zone study found a bunch of people within Sardinia that seemed to be living a long time. They didn’t measure anyone outside of Sardinia. They decided that this was a global outlier for extraordinary ages, and they thought that incest, that people sleeping with each other was making this island—

Demsas: I’ve never heard this. (Laughs.)

Newman: It’s extraordinary. It doesn’t make it to the documentary—

Demsas: —to the Netflix docuseries. (Laughs.)

Newman: —for a very good reason. Yeah. I mean, there’s nobody making this lifestyle recommendation, I hope. (Laughs.)

Demsas: Dear God.

Newman: It’s kind of amazing. And that was the start of the blue zones.

So, you know, I sort of vaguely knew about this idea while I was getting involved in this fight between the plateau people and the people who think there’s a limit to human life. And, you know, I sort of thought of it as an amusing aside, but as time went on, it became less and less amusing, more and more concerning—like, starkly concerning. And the reason is that everything in these studies is based on looking at documents and saying, Oh, they’re consistent.

Demsas: You mean, like, birth certificates?

Newman: I mean birth certificates. So there are a lot of problems with that, that really came out of the woodwork over time because, you know, it’s on paper.

But when I started looking into these extreme-age cases, it really snowballed. Everything snowballed in a way that completely destroyed the idea and the underlying data of the blue zones. And effectively, you know, people are just believing their own fairy tales here. This really, you know, goes beyond cases, though, because early on in the investigation, I discovered that Japan, where it was claimed Japan had among the world’s best evidence for birth records. And in 2010, it turned out that 82 percent of the people over the age of 100 in the country were dead.

Demsas: And was it pension fraud, or what?

Newman: It was not pension fraud. It was the remarkable fact that in Japan, the household has to register your death, and if you are the last person in the household and you are dead, how do you do that?

Demsas: Oh, wow.

Newman: So they had, like, literally hundreds of thousands of people who had died in World War II or had died subsequently, and who were just getting older on paper, including the oldest man in Tokyo and the oldest woman in Tokyo.

Demsas: Were they paying them, like, Social Security?

Newman: Oh, yes.

Demsas: Like, what was happening? Where was the money going?

Newman: Well, in the case of the oldest man in Tokyo, the money was going to the family. And he was an extraordinary case that kicked off this investigation because—so there’s a sort of week in Japan where there’s a respect for the aged [day], and in preparation, city officials in Tokyo had gone looking for the oldest man. And eventually, they found out that the oldest man was in Tokyo, but he’d been dead in his apartment for 30 years, and his family were living in the apartment. And the oldest man in Tokyo had been steadily collecting his pension checks.

Now, what’s extraordinary about that is that his paperwork was perfectly in order. Like, if you handed their paperwork to a demographer, they would not be able to see anything wrong with it. I mean, it’s not like you die and automatically a form pops out in the central bureaucracy, right? There’s no actual way to know.

So it turned out that most extreme-old-age data was undetected errors, and this happened in every blue zone.

Demsas: So you went through all the blue zones and saw the same pattern?

Newman: I went through all the blue zones. The same thing happened. In Greece, at least 72 percent of the people in Greece who were over age 100 were collecting their pension checks from underground. And what’s remarkable about that is they had just passed a government audit, despite being dead. They passed a government audit in 2011, and in 2012, the government turned around and said, Actually, all those people were dead.

Demsas: So walk me through this a little bit, because I think there’s a few different arguments that you’re making here. One is that there are places where it’s quite difficult to know what’s happening with the population, because there’s [a situation] like what you mentioned in Japan, where the reporting of death is happening in a method where you actually can’t validate, when the oldest person in a household has died.

And then there’s a second strand of things, which is that people are actively committing fraud because of pensions and Social Security or other sorts of welfare benefits. And then there’s a third, which is just that these documents are not consistent or good, and so when demographers are trying to do this kind of research, they’re ending up having to rely on pretty shoddy documentation or to make broad claims.

So how much of this is happening in each place? Like, what do you think is most prevalent?

Newman: We don’t know what’s most prevalent. I mean, this is actually part of the problem: that we can see when an error has happened, but if we have documents in front of us that look good, we don’t know if they’re in error or not. And this pattern repeats itself. So there are many, many ways. There’s a whole layer cake of different methods by which you can screw up someone’s age.

Like you said, you can just write it down wrong at the start. There was a case where the world’s oldest man was actually just his younger brother, and they just swapped documents. It’s completely undetectable, and it’s happened three times. And there are other cases where there’s active pension fraud. I mean, there’s also cases where you just have someone who is illiterate and has picked up the wrong documents. The list goes on and on and on.

But the point is that demographers keep validating these people, and then decades—or even in one case, a century later—find out that they aren’t who they say they are. And that process is pretty much random. So you have to ask yourself, you know, what happens to a field over the course of more than a century when the data can only be checked for being consistent? You can’t actually tell if it’s true?

And I think it really set up this extraordinary disaster where not only are the blue zones based on data that doesn’t make sense; we actually have this sort of fundamental problem in looking at the oldest people within our society. Blue zones are an exemplary case of this, but it’s more general.

So to give you an example, health in the blue zones was poor before, during, and after they were established. Even in America, at least 17 percent of people over the age of 100 were clerical errors, missing, or dead—at least 17 percent. Many of them just did not have birth certificates. And we have no way of knowing. Like, it’s not as if I can take a person into a hospital, and they can put them into a machine, and it tells me how old they are.

Demsas: Cut their arm off and count the rings (Laughs.)

Newman: Exactly. The old pirate joke. You cut the leg off and count the rings. You can’t do that.

Demsas: Yeah.

Newman: And that means we are just taking all of this evidence at face value. Normally, that would be fine. Right? And this is where I’m going to apologize for talking numbers. But this is a theoretical result I came up with in 2018.

Let’s imagine you have 100,000 people who are 50, really 50. Like, they’ve got their documents, everything. And then you have an extraordinarily low rate of error in which you take 100 40-year-olds, and you give them documents to say they’re 50. If you do that, normally you’d expect, Oh, I can just ignore this. My statistical model will take care of it as noise. But something happens instead that is extraordinary, because those 40-year-olds are, like I said, less than half as likely to die than the real data. So your errors have a lower rate of dying and being removed from the population than your real data—

Demsas: Wait—sorry. Can you explain that? I don’t understand.

Newman: So you remember: I told you about the clock where your mortality rate doubles every eight years? That means if, let’s say—and I call them “young liars.” If my young liars are eight years younger, their odds of dying day to day are half. So the errors have half the mortality rate of the real data. Every eight years, the percentage of errors doubles, and by the time you get to 100, every single person or almost every single person is an error.

So you can’t ignore these tiny error rates. It doesn’t matter what country you’re in. It doesn’t matter where you are. You can’t just pretend they don’t exist, because they build up in this weird, nonlinear way over time, and it means that you would actually mathematically expect all of the oldest people in the world to be fake. So, you know, I’ve published this in a scientific journal. No one’s ever been able to argue the math, but they do not want to face up to sort of the repercussions of this.

Demsas: Yeah. Part of this is very familiar to me. I don’t have a birth certificate. I was born in Addis Ababa, Ethiopia, and the only document I have about my birth and parentage is a baptismal certificate, where I’m pretty sure it was filled out by a member of the church that I was baptized into. I’m not joking: It’s written in teal ink.

We were asylum seekers here. I’m, like, taking this to the State Department. I’m like, I swear to God, my father is my father. You literally have to give me a passport. I’m a citizen here. And it was such—it was awful. It was such a hassle. And then—now I’m getting off topic here, but—my brother had to get a DNA test to prove that our parents were his parents in order to get his driver’s license eventually, and his passport. So I’m very familiar with this.

And there’s another phenomenon—which, I mean, I don’t know if this is something that you’ve seen in your research—wherein some cultures and communities, of course, being older is, like, quite an advantage. And so there will be people who you’re like, I know how old you are, but you are telling everyone you are 10 to 15 years older than you are. Have you seen this in your research?

Newman: All the time. Yeah, I mean, constantly. There was a study in the BBC a couple of months ago where they looked at heart age. And this is a National Institute on Aging–funded study on people in the rainforest, right? And they say, We don’t have any idea how old we are. And the headline is, Oh, these people have really young hearts for their age. You know, they don’t know their age. They’re literally telling you, We are making it up.

And, you know, if you have any doubts about the blue zones, there used to be something called the “longevity zones” that predates the blue zones. It was put out by National Geographic in exactly the same way. It had exactly the same hallmarks of, Oh, you live in a mountainous region that’s very remote, and you eat yogurt and vegetarian diets.

And it was exactly what you’re saying. These people gave status to village elders, so people were inflating their ages to an extraordinary degree. They were saying, I’m 122. And that’s all it was. You know, this was three regions across the world: Soviet Georgia, where apparently yogurt was the secret; the Vilcabamba Valley, in Ecuador; and the Hunza Valley, in Pakistan. These were the blue zones, and every single case was based on rubbish recordkeeping. And, you know, it just seems to be that’s exactly what’s happened again.

[Music]

Demsas: After the break: Even if blue zones aren’t real, does that really change how we think about living longer?

[Break]

Demsas: The thing I’m wrestling with when I engage with this, because, you know, you have published this work; you’ve written about it in the Times and other places. But the fundamental idea that there are locations that are better for people’s lifespans seems not overturned by this, right?

Like, we know that location matters a lot for health outcomes, air pollution in particular. It feels like there’s a new paper every other week showing that there’s massive impacts of air pollution on life expectancy, on cognitive functioning, on general health. Is the fundamental concept that there are certain places where people are going to live longer still one that we should be putting more research into?

Newman: I think that’s not controversial. But I also think it’s very well understood, for exactly the reasons you say. There’s a study every week on average life expectancy. And what’s striking about this is that those places are very different from the places that get extreme life expectancy.

So I basically took a sample of 80 percent of the world’s 110-year-olds and most of the world’s 105-year-olds, and looked at their distribution within countries. So I’m sitting in London right now. And in all of England, the place with the best rate of reaching 105 was the single poorest inner-city suburb with the single fewest number of 90-year-olds.

So those two things—where it’s good to live, on average, and where it’s good to reach extreme old age—were exactly the opposite. This is like saying Flint, Michigan, is the healthiest place in the U.S.A. No shade on Flint, Michigan. The government is really the cause of this, but it does not make any sense. It fundamentally doesn’t make any sense. And it gets even worse when you start looking at the details.

So the single U.S. blue zone is Loma Linda. I mean, the CDC measured Loma Linda for lifespan. They measure it, and it is completely and utterly unremarkable.

Demsas: I’m not, you know, deeply reporting in the longevity space here, but the way that you have talked about your interactions with some of these authors makes me think it’s an especially contentious field. Why has it kind of remained so difficult to sort of overturn this popular narrative around blue zones?

Newman: Well, it makes a lot of money.

Demsas: Yeah.

Newman: It’s really that simple. I mean, there are multiple best-selling cookbooks, you know. And I’d like to point out, of course: Don’t take your health advice from cookbooks. Its really sort of needs reinforcing every now and again. (Laughs.) But, you know, if you really had a cure for aging, you’d be winning the Nobel Prize.

Demsas: You wouldn’t be writing a cookbook? (Laughs.)

Newman: You would not be writing a cookbook. You wouldn’t be on late-night television, you know, making a sales pitch. You’d just be like, I want my Nobel Prize. I have a cure for all diseases. Where’s my money? It’s really fundamental.

But there is another aspect to this in that a lot of research careers are built on examining the oldest old, and even more research careers are built on just assuming that birth-certificate ages are correct. And to show that they’re not correct in an undetectable fashion on such a massive scale threatens a lot of people’s research careers.

Demsas: But part of the thing that I find interesting about the blue zone’s recommendations is that a lot of them are things that are just straightforwardly good advice, right? Move naturally. Have a sense of purpose. Stress less. Don’t eat too much. Eat beans and legumes. Have community. Put your family first. The only one that I think is potentially not actually good is: Drink alcohol in moderation. But the rest of them are generally associated with good health to different extents and, you know, with longevity to different extents.

I guess, like, what drove you to become so interested in pushing back on this narrative, given that the advice that people are getting is generally still, like, you know, good health advice? Like, you probably should do most of these things if you’re not already.

Newman: Well, I think the problem is the way in which the people in these regions are really kind of culturally being exploited. Because they don’t bear any connection to what actually happens in the blue zones. And I think that was what really drove it home for me, is that you have this sort of flavor of some guy who turns up for a few weeks, looks around, decides it’s the ikigai, and goes home. And if you actually go to the government of Japan, they’ve been measuring Okinawa, for example, since 1975. And every single time they’ve measured Okinawa, it has had terrible health. It has been right at the bottom of the pile.

Demsas: Wow.

Newman: I’ll take you through some statistics that were robustly ignored by people in selling these blue-zones ideas. Body mass index is measured in Okinawa and compared to the rest of Japan, and it’s measured in over-75-year-olds. So if you go back to 1975, that’s people born 1900 or before, and they measure how heavy they are. They have been last every year, by a massive margin.

And then you look at the next claim. So that sort of knocks a hole in the “move naturally” claim. The “move naturally” claim also has this sort of idea that people grow gardens in the blue zones, right? The government of Japan measures that, and they are third to last out of 47 prefectures, after Tokyo and Osaka, where everyone lives in a high-rise. They don’t grow gardens. And we’ve known that since the beginning of records.

And then you look at the idea that they eat plants. It seems really noncontroversial. But people in Okinawa do not eat their veggies. And we know this because we ask them. They’re last in the consumption of root vegetables, last in the consumption of leafy vegetables, last in the consumption of pickled vegetables. They’re third from the top in other raw meat. You know, they eat 40 kilograms of meat a year, at least, which is way above the global and national average. And even sweet potato—sweet potato is on the front of the Netflix documentary, these purple sweet potatoes—they are last for sweet potato consumption out of all the 47 prefectures of Japan.

Demsas: Wow. Okay.

Newman: And they always have been. There’s another idea that, you know, they have a sense of belonging, that they belong to a faith-based community. They’re 93.4 percent atheist. They’re third to last in the country, and it is a very atheist country. So the problem is that none of these claims have any connection to reality whatsoever.

Demsas: Yeah.

Newman: And it’s been sitting in the open for decades.

Demsas: Have you become a lot more cynical about scientific research as a result of this?

Newman: Oh, I mean, absolutely. It’s extraordinary, the sort of cognitive dissonance that goes on. And really, I mean, all of these claims just have no connection to reality. And you see this sort of sad thing playing out with the locals, where a beach resort will get built. People will fly in for three days, and they’re still sitting there going, like, Why don’t we have a hospital? Why are we all still poor?

You know, just basic social problems get overlooked because of this. So yeah, it has made me much more cynical, because these, I guess you would call them “lumps and bumps,” should have been obvious right from the point when someone said incest was good for living a long time.

Demsas: So, like, I mean, preregistration helps reduce a lot of issues in social science. There’s also been increasing attempts to subject, you know, big findings, important findings to replication by various groups and individuals.

I mean, is there something fundamental that you think needs to happen differently in terms of how reputable journals accept new findings? Do you think that all the data needs to be open? What needs to happen here to prevent these sorts of problems in the future?

Newman: In short, the answer is: really a lot.

Demsas: Yeah.

Newman: The slightly less short answer is that the core of science is reproducibility. It is the core idea. And these results are not reproducible. And it’s not just that they’re not reproducible. After 20 years, nobody has published the underlying data. And there needs to be a much heavier emphasis on replication in science and on testing claims—especially profitable claims—before they’re just thrown out into the open.

Because, you know, I find it amazing. This is something that was discussed at an elite level at the World Economic Forum. Now, we cannot have a cookbook-based piece of lifestyle advice governing global health. So we need to really rejig the—I mean, first, the level of skepticism in science needs to go up considerably. And second, we need to really start hitting back on papers that need to be retracted, papers that need to be removed from the scientific record because they do not replicate or because, you know, like the first two—the studies I pointed out here—because they’re based on extremely questionable choices.

Demsas: So most people listening to this will have heard of this topic before, but have you found anything that indicates it’s been especially influential in public health in that policy makers are taking it quite seriously as a way of trying to push different nonvalidated recommendations?

Newman: Yes. I mean, the presentation at the World Economic Forum is really a low point, an extraordinary low point. But I think what is, like I said, more troubling is that you have an entire machinery of public health here that didn’t spot how completely wrong this is. In retrospect, it’s so wrong that everybody’s sort of giggling. But it’s been 20 years of this being perhaps the most popular idea in demography.

And so I get worried about this because I’ve just completed a new study. And in this new study, I have taken every single 100-year-old in the world and analyzed where they’re from and what countries attain the age of 100 at the highest rates. And to do this, I took United Nations data contributed by every government on Earth, in good faith, with the best efforts at data cleaning—both by the governments and by the UN. And the places that reach 100 at the most remarkable rates don’t make any sense.

Malawi, which is one of the 10 poorest countries on Earth, is in the top 10, and it’s in the top 10 routinely. You know, Western Sahara, which is a region that does not have a government, is one of the best places in the world for reaching 100, according to the UN. I mean, that’s fundamentally absurd. And it’s fundamentally absurd that it has been 70 years that this data has been produced for, and nobody has noticed the absurdity. And I find that deeply shocking.

Puerto Rico was one of the top 10, and that initially passed muster. You’ve got a place in a rich country that has a long history of birth certificates, until you realize that this is one of the best places in the world for reaching 100, and the reason seems to be that the birth certificates are so badly documented that they restarted the entire system in 2010. They said, Birth certificates are no longer legal documents. They threw it all out and started again because of systemic levels of error.

Demsas: Wow.

Newman: And that’s how you reach 100.

Demsas: Yeah.

Newman: You just write your age down wrong. And you know, there is this sort of public-health element that is deeply troubling because you are one of the people in the world that doesn’t have a birth certificate, and you’re not alone.

Demsas: Yeah.

Newman: A quarter of children now don’t have a birth certificate—a quarter of all children. And we are just ignoring that.

Demsas: I want to take a step back because I think that even though I think that this is deeply troubling, there is still a desire—I mean, part of the reason why there’s such a focus on this issue is people really want to figure out how to extend their life. Every year they get older, they’re, you know, deeply concerned with yoga, with protein intake, with lifting weights. A lot of different things begin to occupy your mind as the number turns to 3, 4, 5 at the beginning of your age.

I want to ask about how much we know about the role of environmental versus genetic factors in determining longevity. Is all of this effort to try and tweak our life expectancy—is it really that worth it, or is it largely just a question of your genetics kind of determining what your life expectancy is going to be?

Newman: I mean, there’s good news and bad news. And I’ll start with the bad news. The bad news is—well, it depends on your perspective, I suppose. The bad news is that the people who live the longest, on average, are born into rich countries with free health care. It’s that simple. The good news is: When it comes to the environment, it plays a big role, a very big role in how long you live. And there is a lot you can do about it, not a single one of which costs any money, right?

So I’ll break it down. The simple things that we really know about lifespan: Don’t drink. There you’ll get, it depends, but if you [weren’t] going to get addicted, you’ll get about an extra 30 years of lifespan over what you would if you got addicted to alcohol. And for context, the CDC estimates that that’s about the same as heroin addiction. But if you drink without getting addicted and give up drinking, you’re still going to gain roughly three to four years.

Demsas: Wow. Okay.

Newman: Right. So that’s simple.

Don’t smoke: You’ll gain about seven years. Do some exercise: You’ll get probably—it depends how much you exercise, but let’s say four years. And go to your GP, and that’s it. You don’t need to buy the cookbook.

I think the reason the cookbook sells so well is that those three things are somewhat difficult, right? They’re kind of hard, and I think this is why longevity cures perennially do so well, is that they’re always easier than those three things. Almost always, you know, the ones that do well. And that is what underpins this market. But if you really want to live a longer time, just don’t drink; don’t smoke; do some exercise.

Demsas: Well, tell me a little bit more about the genetic factors here. I mean, there was a study I saw that looked at 20,000 Nordic twins born in the late 1800s, and found that genetic differences had negligible impacts on survival before about age 60, but after age 60 and particularly those reaching their 80s and beyond, genetic factors become more important. I don’t know if you’ve seen that paper or if you’ve seen other research about this, but what do we know about the role of genetics in longevity?

Newman: I haven’t seen that paper, but I’ve seen some extraordinarily bad papers on the roles of genetics and longevity. There’s just something called a genome-wide-association study, where you effectively say, you know, what genes are associated with extreme longevity. And I’ve seen that conducted on sample sizes of less than 200 people, which is, I mean—it’s a bit like saying you’ve got a space program when you let go of a carnival balloon. It’s a joke.

So I would be extremely skeptical of longevity claims. You know, there is just this fundamental problem with our documents that if you go into that study and dive into that study, you’ll realize that they, like everybody else, have to trust what is written down on the piece of paper that says how old these people are.

And there’s no way to check that. You know, I think we’re on the edge of a situation where you can. There have been some extraordinary scientific advances in estimating people’s age, but nobody seems to want to face up to that fundamental problem yet.

Demsas: Well, Saul, this has been fantastic. Always our last and final question: What is something that you thought was a good idea but ended up being just good on paper?

Newman: I’ll tell you something that turned out to be bad on paper in the moment. When I was an undergrad, it’s kind of like someone said to me, Go to the best U.K. university. It’s the one in Oxford, Oxford Brooks, which is not the University of Oxford. They told me completely the wrong university to go to, and I’d gone to it. And so to sort of crawl my way out of this hole, I found out that my university offered an exchange program to the Ivy League. And it was the first year they’d run it. So they just didn’t understand how much it was gonna cost.

Demsas: Okay.

Newman: And I was like, Great. I could be the poorest kid in the Ivy League, right? So I went on exchange, but without me knowing it, they realized how much it cost and pulled my visa status after the first six months. So I wound up in the FBI building in L.A., you know, in a locked elevator, going to one of the rooms for an interview, just completely not knowing that I’d overstayed.

Demsas: Is that even a good on paper? That just sounds like you got screwed.

Newman: Yeah. I mean, yeah, it’s as close as I got. I mean, it was good on paper right up until that point.

Demsas: Yeah. What school were you going to?

Newman: I was going to Ithaca—Cornell, in Ithaca—and paying, I think, $1,000 a semester in student loans.

Demsas: Oh my gosh. That is, like, one of those things where you really gotta check to see if that deal’s going to pan out.

Newman: Yeah, I think it worked out long term, but short term, yeah, not so great.

Demsas: Well, this was great. Thank you so much for coming on the show.

Newman: Thank you very much. It’s been a real pleasure.

Demsas: If you like what you heard on today’s episode, I have a suggestion for you! My colleagues here at The Atlantic are exploring how we talk about aging, in our newest How To series. You can hear a trailer at the end of this episode, and then go subscribe to How to Age Up, coming April 7, wherever you listen to podcasts.

[Music]

Demsas: Good on Paper is produced by Rosie Hughes. It was edited by Dave Shaw and fact-checked by Ena Alvarado. Rob Smierciak composed our theme music and engineered this episode. Claudine Ebeid is the executive producer of Atlantic audio. Andrea Valdez is our managing editor.

And hey, if you like what you’re hearing, please leave us a rating and review on Apple Podcasts.

I’m Jerusalem Demsas, and we’ll see you next week.

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A “scientific sandbox” lets researchers explore the evolution of vision systems

The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.

Why did humans evolve the eyes we have today?While scientists can’t go back in time to study the environmental pressures that shaped the evolution of the diverse vision systems that exist in nature, a new computational framework developed by MIT researchers allows them to explore this evolution in artificial intelligence agents.The framework they developed, in which embodied AI agents evolve eyes and learn to see over many generations, is like a “scientific sandbox” that allows researchers to recreate different evolutionary trees. The user does this by changing the structure of the world and the tasks AI agents complete, such as finding food or telling objects apart.This allows them to study why one animal may have evolved simple, light-sensitive patches as eyes, while another has complex, camera-type eyes.The researchers’ experiments with this framework showcase how tasks drove eye evolution in the agents. For instance, they found that navigation tasks often led to the evolution of compound eyes with many individual units, like the eyes of insects and crustaceans.On the other hand, if agents focused on object discrimination, they were more likely to evolve camera-type eyes with irises and retinas.This framework could enable scientists to probe “what-if” questions about vision systems that are difficult to study experimentally. It could also guide the design of novel sensors and cameras for robots, drones, and wearable devices that balance performance with real-world constraints like energy efficiency and manufacturability.“While we can never go back and figure out every detail of how evolution took place, in this work we’ve created an environment where we can, in a sense, recreate evolution and probe the environment in all these different ways. This method of doing science opens to the door to a lot of possibilities,” says Kushagra Tiwary, a graduate student at the MIT Media Lab and co-lead author of a paper on this research.He is joined on the paper by co-lead author and fellow graduate student Aaron Young; graduate student Tzofi Klinghoffer; former postdoc Akshat Dave, who is now an assistant professor at Stony Brook University; Tomaso Poggio, the Eugene McDermott Professor in the Department of Brain and Cognitive Sciences, an investigator in the McGovern Institute, and co-director of the Center for Brains, Minds, and Machines; co-senior authors Brian Cheung, a postdoc in the  Center for Brains, Minds, and Machines and an incoming assistant professor at the University of California San Francisco; and Ramesh Raskar, associate professor of media arts and sciences and leader of the Camera Culture Group at MIT; as well as others at Rice University and Lund University. The research appears today in Science Advances.Building a scientific sandboxThe paper began as a conversation among the researchers about discovering new vision systems that could be useful in different fields, like robotics. To test their “what-if” questions, the researchers decided to use AI to explore the many evolutionary possibilities.“What-if questions inspired me when I was growing up to study science. With AI, we have a unique opportunity to create these embodied agents that allow us to ask the kinds of questions that would usually be impossible to answer,” Tiwary says.To build this evolutionary sandbox, the researchers took all the elements of a camera, like the sensors, lenses, apertures, and processors, and converted them into parameters that an embodied AI agent could learn.They used those building blocks as the starting point for an algorithmic learning mechanism an agent would use as it evolved eyes over time.“We couldn’t simulate the entire universe atom-by-atom. It was challenging to determine which ingredients we needed, which ingredients we didn’t need, and how to allocate resources over those different elements,” Cheung says.In their framework, this evolutionary algorithm can choose which elements to evolve based on the constraints of the environment and the task of the agent.Each environment has a single task, such as navigation, food identification, or prey tracking, designed to mimic real visual tasks animals must overcome to survive. The agents start with a single photoreceptor that looks out at the world and an associated neural network model that processes visual information.Then, over each agent’s lifetime, it is trained using reinforcement learning, a trial-and-error technique where the agent is rewarded for accomplishing the goal of its task. The environment also incorporates constraints, like a certain number of pixels for an agent’s visual sensors.“These constraints drive the design process, the same way we have physical constraints in our world, like the physics of light, that have driven the design of our own eyes,” Tiwary says.Over many generations, agents evolve different elements of vision systems that maximize rewards.Their framework uses a genetic encoding mechanism to computationally mimic evolution, where individual genes mutate to control an agent’s development.For instance, morphological genes capture how the agent views the environment and control eye placement; optical genes determine how the eye interacts with light and dictate the number of photoreceptors; and neural genes control the learning capacity of the agents.Testing hypothesesWhen the researchers set up experiments in this framework, they found that tasks had a major influence on the vision systems the agents evolved.For instance, agents that were focused on navigation tasks developed eyes designed to maximize spatial awareness through low-resolution sensing, while agents tasked with detecting objects developed eyes focused more on frontal acuity, rather than peripheral vision.Another experiment indicated that a bigger brain isn’t always better when it comes to processing visual information. Only so much visual information can go into the system at a time, based on physical constraints like the number of photoreceptors in the eyes.“At some point a bigger brain doesn’t help the agents at all, and in nature that would be a waste of resources,” Cheung says.In the future, the researchers want to use this simulator to explore the best vision systems for specific applications, which could help scientists develop task-specific sensors and cameras. They also want to integrate LLMs into their framework to make it easier for users to ask “what-if” questions and study additional possibilities.“There’s a real benefit that comes from asking questions in a more imaginative way. I hope this inspires others to create larger frameworks, where instead of focusing on narrow questions that cover a specific area, they are looking to answer questions with a much wider scope,” Cheung says.This work was supported, in part, by the Center for Brains, Minds, and Machines and the Defense Advanced Research Projects Agency (DARPA) Mathematics for the Discovery of Algorithms and Architectures (DIAL) program.

Common household rat poisons found to pose unacceptable risk to wildlife as animal advocates push for ban

Environmentalists say proposed temporary suspension of second-generation anticoagulant rodenticides ‘doesn’t go far enough’Follow our Australia news live blog for latest updatesGet our breaking news email, free app or daily news podcastCommonly available rat poisons pose unacceptable risks to native wildlife, according to a government review that has stopped short of recommending a blanket ban on the products, to the consternation of animal advocates.The long-awaited review of first- and second-generation anticoagulant rodenticides – FGARs and SGARs – has recommended the cancellation of some products, but a large array of waxes, pellets and blocks could continue to be sold to consumers subject to stricter labelling and conditions of use. Continue reading...

Commonly available rat poisons pose unacceptable risks to native wildlife, according to a government review that has stopped short of recommending a blanket ban on the products, to the consternation of animal advocates.The long-awaited review of first- and second-generation anticoagulant rodenticides – FGARs and SGARs – has recommended the cancellation of some products, but a large array of waxes, pellets and blocks could continue to be sold to consumers subject to stricter labelling and conditions of use.Baits containing anticoagulant rodenticides are widely available in supermarkets and garden stores such as Bunnings, Coles and Woolworths.The baits have come under scrutiny because they have been found in dead native animals such as tawny frogmouths, powerful owls and quolls that had eaten poisoned rats and mice.The second-generation products are more toxic and are banned from public sale in the United States and parts of Canada and highly restricted in the European Union.Commercially available rat poisons have been found in dead native animals. Photograph: Fabio De Paola/The GuardianConsumers can identify SGARs in Australia by checking whether they contain one of the following active ingredients: brodifacoum, bromadiolone, difethialone, difenacoum and flocoumafen. There are three FGAR active ingredients registered for use in Australia: warfarin, coumatetralyl and diphacinone.The Australian Pesticides and Veterinary Medicines Authority (APVMA), in response to the review which was published Tuesday, has proposed a temporary suspension of SGARs while public consultation about the recommendations is under way. If the suspension goes ahead the APVMA said the affected products could still be used, but only in accordance with the proposed stricter conditions.“If suspended, the importation or manufacture of SGARs would be illegal. They could only be sold if they meet the new strict conditions around pack size and use,” a spokesperson said.Holly Parsons, of BirdLife Australia, said the review “doesn’t go far enough and crucially, fails to address secondary poisoning that is killing owls and birds of prey” such as when, for example, a native bird ate a poisoned rat.“Despite overwhelming evidence provided in support of the complete removal of SGARs from public sale, we’re yet to see proposed restrictions that come close to achieving this,” Parsons said.She said consumers should be able to “walk into stores under the assumption that the products available to them aren’t going to inadvertently kill native animals” but the APVMA has put “the responsibility on to the consumer with an expectation that labels are fully read and followed – and we know that won’t be the case”.The review also recommended cancelling the registration of anticoagulant rodenticides baits that come in powder and liquid form or which do not contain dyes or bittering agents, finding they do not meet safety criteria.But it found other baits sold as waxes, pellets and blocks could continue to be sold to consumers with some changes to labelling and conditions of use.Sign up: AU Breaking News emailThe APVMA found that under “current instructions” it could not be satisfied that these types of products would not have unintended, harmful effects on non-target animals, including native wildlife, nor that they would not pose undue safety risks to people who handled them including vulnerable people such as children.But it found the conditions of product registration and other “relevant particulars” could be varied in such a way as to allow the authority “to be satisfied that products will meet the safety criteria”.Some of the proposed new instructions would include limiting mice baits to indoor use only when in tamper-resistant bait stations; placing outdoor rat baits in tamper-proof stations within two metres of outside a building; changes to pack sizes; and tighter directions for the clean-up and disposal of carcasses and uneaten baits.The recommendations are subject to three months of public consultation before the authority makes a final decision.John White is an associate professor of wildlife and conservation biology at Deakin University. In 2023 he worked with a team of researchers that studied rat poison in dead tawny frogmouths and owls, who found 95% of frogmouths had rodenticides in their livers and 68% of frogmouths tested had liver rodenticide levels consistent with causing death or significant toxicological impacts.He said the authority’s proposed changes failed to properly tackle the problem that SGARS, from an environmental perspective, were “just too toxic”.White said even if the authority tightened the conditions of use and labelling rules there was no guarantee that consumers would follow new instructions. “We should be completely banning these things, not tinkering at the edges,” he said.A spokesperson for Woolworths said the supermarket would await the APVMA’s final recommendations “to inform a responsible approach to these products, together with the suppliers of them”.They said the chain stocked “a small range of second-generation anticoagulant rodenticides for customers who might have a problem with rats or mice in their home, workplace, and especially in rural areas where it’s important for customers to have access to these products” while also selling “a number of alternative options”.Bunnings and Coles declined to comment.

Trail Cameras in Vermont Captured Something Strange: Moths Sipping a Moose's Tears

Tear-drinking, known as lachryphagy, has mostly been observed in the tropics, so scientists were somewhat surprised to find the unusual behavior so far north

Trail Cameras in Vermont Captured Something Strange: Moths Sipping a Moose’s Tears Tear-drinking, known as lachryphagy, has mostly been observed in the tropics, so scientists were somewhat surprised to find the unusual behavior so far north Sarah Kuta - Daily Correspondent December 16, 2025 8:49 a.m. A trail camera in Vermont captured 80 photos of moths fluttering around a moose's head, likely slurping up its tears. Vermont Fish and Wildlife Department Laurence Clarfeld was sifting through images captured by a trail camera in Vermont when he came across a photo that stopped him in his tracks. Clarfeld, an environmental scientist at the University of Vermont, knew he was looking at a moose. But, beyond that, he was totally perplexed. “It almost looked like the moose had two [additional] eyes,” he tells Scientific American’s Gennaro Tomma. When he flipped through more photos in the sequence, Clarfeld finally understood what he was seeing: Moths were sipping tears straight from the ungulate’s eyes. Scientists have observed this unusual phenomenon, known as lachryphagy, among other types of animals. But, as far as anyone knows, the photos represent the first documented evidence of moths drinking moose tears. Clarfeld and his colleagues describe the encounter in a new paper published November 20 in the journal Ecosphere.  Moths seen drinking moose tears for first time ever The photos were captured in the early morning hours of June 19, 2024, in the Green Mountain National Forest, a large swath of protected woodlands in southern Vermont. Researchers had deployed them as part of an ongoing wildlife survey by the Vermont Fish and Wildlife Department. In total, the camera captured 80 snapshots of the moths fluttering around a moose’s head. The photos don’t specifically show the moths’ proboscises, the long, slender, straw-like mouthparts they use to suck nectar from flowers. But lachryphagy is the “most plausible explanation,” the researchers write in the paper. Roughly a year later, a colleague captured video footage that appeared to show the same thing—moths hovering around a moose’s eyes, per Scientific American. Scientists have previously observed moths, bees and butterflies feeding on the tears of other animals. They’ve documented solitary bees drinking the tears of yellow-spotted river turtles in Ecuador, stingless bees harvesting human tears in Thailand, erebid moths feasting on the tears of ringed kingfishers in Colombia and erebid moths slurping up the tears of sleeping black-chinned antbirds in Brazil. But most of these instances have occurred in subtropical and tropical regions. Only one known case of lachryphagy has been documented outside the tropics, according to the researchers: a moth eating the tears of a horse in Arkansas. At first, researcher Laurence Clarfeld didn't know what he was seeing when he spotted moths hovering around a moose's eyes. Vermont Fish and Wildlife Department It may be that lachryphagy is simply more common in the tropics. But it’s also possible that “not a lot of scientists are looking in [other] places,” Akito Kawahara, an entomologist at the Florida Museum of Natural History who was not involved with the research, tells Scientific American. Why do moths and other insects feed on tears? It’s not entirely clear, but scientists suspect they may be seeking out certain essential nutrients, like sodium, during periods when those substances may be harder to find elsewhere. They may also be looking for protein boost. Insects typically get protein from plant nectar, but tears may be a handy backup. “Vertebrate fluids are the main alternative source for obtaining proteins,” Leandro Moraes, a biologist at the University of São Paulo who observed tear-feeding moths in Brazil, told National Geographic’s Sandrine Ceurstemont in 2018. Did you know? Resourceful insects Aside from tears, butterflies and moths have been known to take advantage of whatever resources are available, gathering up nutrient-rich liquids in and around soil, feces and carrion, including sweat and blood. Scientists call this feeding behavior “puddling.” Though lachryphagy appears to be relatively rare in nature, researchers still want to learn more about this unusual behavior. The tear drinker obviously benefits, but what about the tear supplier? For now, the relationship appears to be fairly one-sided—and might even be harmful to the host. In moose, for instance, eye-visiting moths could be transmitting pathogens that cause keratoconjunctivitis, which can lead to eye lesions and “significant health impacts,” the researchers write in the paper. For now, though, that’s just a hypothesis. Now that tear-drinking has been observed outside its typical range, the researchers are curious to know where else this behavior might be taking place, and among which other species. They’re encouraging wildlife scientists to keep an eye out because lachryphagy might ultimately be “more widespread than the lack of past records would suggest,” they write. Get the latest stories in your inbox every weekday.

Costa Rica Shifts Toward Regenerative Tourism Alongside Other Nations

Costa Rica has long stood out for its commitment to protecting natural areas through tourism. Now, our country joins a growing number of nations that push beyond basic protection. They aim to restore and improve ecosystems damaged by past activities. This approach, called regenerative tourism, changes how visitors interact with places they travel to. In […] The post Costa Rica Shifts Toward Regenerative Tourism Alongside Other Nations appeared first on The Tico Times | Costa Rica News | Travel | Real Estate.

Costa Rica has long stood out for its commitment to protecting natural areas through tourism. Now, our country joins a growing number of nations that push beyond basic protection. They aim to restore and improve ecosystems damaged by past activities. This approach, called regenerative tourism, changes how visitors interact with places they travel to. In Costa Rica, tourism generates over 8 percent of the national economy and supports hundreds of thousands of jobs. For decades, the focus stayed on sustainability—keeping beaches clean, forests intact, and wildlife safe without causing more harm. But recent efforts show a clear move to regeneration. Local projects work to rebuild habitats, boost biodiversity, and strengthen communities hit hard by environmental changes. Take Punta Leona, a coastal area in Puntarenas. Hotels there add a small fee to each booking, with funds going directly to conserve local plants and animals. This has helped protect scarlet macaws and other species facing threats from habitat loss. In the Arenal area, Rancho Margot operates as a self-sustaining farm and lodge. It grows its own food, recycles water, and teaches guests how to plant trees that restore soil eroded by old farming practices. These actions do more than maintain the status quo; they repair what was lost. Costa Rica’s government backs this trend. The Tourism Board promotes programs that encourage visitors to join conservation work, such as planting mangroves along the Pacific coast or monitoring sea turtles in Tortuguero. A group called Costa Rica Regenerativa advises businesses on how to integrate regeneration into their operations. They focus on holistic plans that cover social, cultural, and environmental needs. As a result, areas like Monteverde see improved cloud forest health, with reforestation efforts bringing back native species absent for years. This shift aligns with global patterns. New Zealand sets a strong example. Its tourism authority invites travelers to participate in restoring native forests and waterways. In places like Rotorua, canopy tours fund projects that remove invasive plants and protect geothermal sites. The country reports higher visitor satisfaction when people contribute to these efforts, leading to longer stays and more repeat trips. Saudi Arabia takes a different path but shares the goal. It invests in large-scale regeneration in desert regions, turning arid lands into green spaces through water management and planting programs. Tourism there now includes experiences where guests help with these restorations, drawing interest from eco-conscious travelers. Finland emphasizes carbon neutrality in its northern landscapes. Cities like Helsinki offer tours that involve cleaning up lakes and planting boreal forests. This not only offsets travel emissions but also enhances wildlife corridors for species like reindeer. Ecuador’s Galápagos Islands provide another case. Strict rules limit visitor numbers, but regenerative programs let people assist in removing invasive species and monitoring marine life. Revenue from these activities funds habitat restoration, helping giant tortoises and other endemic animals thrive. In Mexico, Playa Viva on the Pacific coast runs as a regenerative resort. It restores mangroves and coastal dunes while involving local communities in decision-making. Guests leave with a sense of having improved the place they visited. These examples show regenerative tourism spreading across continents. It responds to rising awareness of climate change and biodiversity loss. Travelers today seek meaningful trips that give back, and nations like Costa Rica benefit from this demand. Studies from the World Travel & Tourism Council indicate that regenerative practices can increase tourism revenue by up to 20 percent in participating areas, as they attract higher-spending visitors. Challenges remain. Mass tourism can strain resources, as seen in some Costa Rican beaches where overcrowding leads to pollution. To counter this, experts call for better regulations and education. Community involvement stays key—local people must lead these initiatives to ensure they meet real needs. Looking ahead, Costa Rica plans to expand regenerative models nationwide. Partnerships with international organizations aim to share knowledge with other countries. This positions the nation as a guide in the field, showing how tourism can heal rather than just preserve. As more nations adopt this model, the travel industry may see lasting change. For us here in Costa Rica, it means building a healthier future for our land and people. The post Costa Rica Shifts Toward Regenerative Tourism Alongside Other Nations appeared first on The Tico Times | Costa Rica News | Travel | Real Estate.

In Alaska’s Warming Arctic, Photos Show an Indigenous Elder Passing Down Hunting Traditions

An Inupiaq elder teaches his great-grandson to hunt in rapidly warming Northwest Alaska where thinning ice, shifting caribou migrations and severe storms are reshaping life

KOTZEBUE, Alaska (AP) — The low autumn light turned the tundra gold as James Schaeffer, 7, and his cousin Charles Gallahorn, 10, raced down a dirt path by the cemetery on the edge of town. Permafrost thaw had buckled the ground, tilting wooden cross grave markers sideways. The boys took turns smashing slabs of ice that had formed in puddles across the warped road.Their great-grandfather, Roswell Schaeffer, 78, trailed behind. What was a playground to the kids was, for Schaeffer – an Inupiaq elder and prolific hunter – a reminder of what warming temperatures had undone: the stable ice he once hunted seals on, the permafrost cellars that kept food frozen all summer, the salmon runs and caribou migrations that once defined the seasons.Now another pressure loomed. A 211-mile mining road that would cut through caribou and salmon habitat was approved by the Trump administration this fall, though the project still faces lawsuits and opposition from environmental and native groups. Schaeffer and other critics worry it could open the region to outside hunters and further devastate already declining herds. “If we lose our caribou – both from climate change and overhunting – we’ll never be the same,” he said. “We’re going to lose our culture totally.”Still, Schaeffer insists on taking the next generation out on the land, even when the animals don’t come. It was late September and he and James would normally have been at their camp hunting caribou. But the herd has been migrating later each year and still hadn’t arrived – a pattern scientists link to climate change, mostly caused by the burning of oil, gas and coal. So instead of caribou, they scanned the tundra for swans, ptarmigan and ducks.Caribou antlers are stacked outside Schaeffer's home. Traditional seal hooks and whale harpoons hang in his hunting shed. Inside, a photograph of him with a hunted beluga is mounted on the wall beside the head of a dall sheep and a traditional mask his daughter Aakatchaq made from caribou hide and lynx fur.He got his first caribou at 14 and began taking his own children out at 7. James made his first caribou kill this past spring with a .22 rifle. He teaches James what his father taught him: that power comes from giving food and a hunter’s responsibility is to feed the elders.“When you’re raised an Inupiaq, your whole being is to make sure the elders have food,” he said.But even as he passes down those lessons, Schaeffer worries there won’t be enough to sustain the next generation – or to sustain him. “The reason I’ve been a successful hunter is the firm belief that, when I become old, people will feed me,” he said. “My great-grandson and my grandson are my future for food.” That future feels tenuous These days, they’re eating less hunted food and relying more on farmed chicken and processed goods from the store. The caribou are fewer, the salmon scarcer, the storms more severe. Record rainfall battered Northwest Alaska this year, flooding Schaeffer’s backyard twice this fall alone. He worries about the toll on wildlife and whether his grandchildren will be able to live in Kotzebue as the changes accelerate.“It’s kind of scary to think about what’s going to happen,” he said.That afternoon, James ducked into the bed of Schaeffer’s truck and aimed into the water. He shot two ducks. Schaeffer helped him into waders – waterproof overalls – so they could collect them and bring them home for dinner, but the tide was too high. They had to turn back without collecting the ducks. The changes weigh on others, too. Schaeffer’s friend, writer and commercial fisherman Seth Kantner grew up along the Kobuk River, where caribou once reliably crossed by the hundreds of thousands. “I can hardly stand how lonely it feels without all the caribou that used to be here,” he said. “This road is the largest threat. But right beside it is climate change.”The Associated Press receives support from the Walton Family Foundation for coverage of water and environmental policy. The AP is solely responsible for all content. For all of AP’s environmental coverage, visit https://apnews.com/hub/climate-and-environmentCopyright 2025 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.Photos You Should See – December 2025

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