* https://www.theguardian.com/environment/2011/apr/26/obesity-...
> I can assure you that none of us are in the pay of the nuclear industry. I was anti-nuclear until I worked on the after effects of the Chernobyl accident – now I am very pro-nuclear as I realise that we have an unwarranted fear of radiation – probably due to all the rubbish about a nuclear winter we were fed during the Cold War.[10]
Because humans are creatures of association, not logic.
Don't forget that USSR and Belarus authorities did everything to attribute illnesses to anything but radiation. And it's really hard to prove that some illness is _due_ to radiation anyway. The reporting was way less transparent and non-biased than in democratic countries.
Here's one: https://pmc.ncbi.nlm.nih.gov/articles/PMC10640654/
https://radiation-research.kglmeridian.com/view/journals/rar...
Some of the authors of that work were still active when the "Flash" concept came around again, and to hear them tell the story they tried to get funding to test it in tumour-bearing mice, but both their lab heads and external funders were sure the effect would be the same in tumours as normal tissue, and so wouldn't fund the work.
They eventually moved on to other things, and it needed a few decades for someone with enough soft money to give it a go and kick off this new research field.
The quadratic term relates (loosely) to interactions between damage from multiple ionising particles which are present in cells at the same time. When you protract exposures, more damage is repaired before subsequent ionising particles arrive, and you see a reduction in the quadratic term, to effectively a linear form at very low dose rates.
So it's not surprising that spreading the radiation out significantly reduces the yield of biological events, but actually supports a linear trend for mutation yield in low-dose and low dose-rate conditions. (Whether that tracks linearly in turn to cancer risk, on the other hand, is a topic of much more debate.)
People who want to step away from linear no threshold seem to ignore the extreme likelihood people will get cancer at some point. Which means for any given population there will be many people who are really close to the threshold of getting cancer.
Studying the effects of radiation on healthy tissue isn’t therefore representative of the general population. You need population level data, and the sensitivity just isn’t there to be able to detect if their model is correct or if linear no threshold is correct etc.
Radiation response shown to be sub-linear (in flies)!
But, I mostly just skimmed through the beginning of the article, so maybe it gets better, like maybe the author reveals an international cabal of influential anti-nuclear activists who are holding human progress back.
Not even that, they simply didn’t know because they couldn’t measure, so they took a conservative approach.
Btw you can count me in to the cabal of anti-nuclear activists. Humans simply are too greedy and incompetent to manage the technology responsibly over the long term. We’ve already irreversibly altered the biosphere with the nuclear activity we’ve engaged in so far. Time for it to stop.
"But what about the cobalt mines?" - damage limited in both space and time
https://en.wikipedia.org/wiki/Naturally_occurring_radioactiv...
considerable amounts of low-level radiation is emitted by fossil fuel production and use as well as and construction materials.
The Tokaimura incident (Japan, 1999) comes to mind as a counterexample.
https://www-pub.iaea.org/MTCD/Publications/PDF/TOAC_web.pdf
TL;DR: enriched uranium solution was poured into a tank with improper geometry and reached criticality; three workers were severely irradiated, and two of them subsequently died.
His name was Douglas Crofut.
What's missing is the Mayak accident / Kyshtym disaster, 1957.
It also did not result in any world-ending stuff. People died, is all.
Stating something confidently doesn't make it true. Show me the data.
The article is long on emotion, exposition, but very short on the data.
There's a big concerted effort to change this regulation, but it's not based on data, it's based on feelings.
It's quite likely that there's non-linear response, but it could just as easily be that the dose that's tolerated well in a 1 day exposure, might have higher risk when spread out over 365 days. When they say something like:
> nor any major chromosomal aberrations.
They don't have the technology to measure DNA damage that might be significant. I've spent some time in the past examining the REBC dataset of whole-genome sequencing of tumors of thyroid cancers from Chornobyl, where you actually do see the types of translocations that cause cancer from radiation.
We can't detect these types of translocations in non-cancerous tissue. The only reason we can see them in cancer is that the cancer has replicated billions of times, giving us many many many copies of the translocation to put through DNA sequencing. Doing the type of sequencing where we identify translocations that happen in individual cells, before the cell has become cancerous, would require a good amount of engineering effort, and I've never seen anything like it. And in 2006, when the study was published, we barely had any of the latest sequencing technologies.
> Chen interpreted this as evidence of the health benefits of radiation. This theory, known as hormesis, holds that low doses of stressors, including ionizing radiation, can improve health (in this case, reducing cancer risk) by triggering the body’s repair systems in much the same way that exercise improves fitness by stressing the cardiovascular system. While popular among a small community of researchers, it has not gained widespread acceptance due to limited and conflicting evidence in humans.
Yes, limited and conflicting evidence in humans. Yet these sorts of propaganda efforts are pushing hard on the idea being present, being obvious.
This article is not science, despite trying to put on airs of science. The data does not support their claims.
Let's see actual review articles published making these claims that aggregate over large numbers of small data. Let's see whether such aggregation claims hold up on scrutiny from those that have spent a lot of time thinking about this.
The active regulatory push to invalidate LNT should follow the science, not be ahead of the science.
Plus, the whole goal of this, to somehow how make nuclear construction cheaper, does not seem to be well served by changing LNT. The costs of nuclear are massive because it's a big constructuon project with lots of coordination. Making concrete walls 50% as thick is going to do very little to lessen the massive costs, which are related to construction productivity, or rather the lack of it in the West.
It seems like the nuclear industry tries to focus on anything except the one thing that will actually make it succeed: get really good at construction.
Is the regulation based on hard, systematic and replicated data? Looks based on emotion (fear, greed) too
luckily the government is moving away from your position: https://www.eenews.net/articles/nrc-considers-eliminating-ha...
not having cheaper nuclear energy imposes a far greater cost on society.
Consumed them already, you say? Well I guess you're screwed then.
https://www.nature.com/articles/s41467-026-69285-4
> in a world where there is no safe low radiation dose, it would be quite easy to generate the data to demonstrate this.
This is the classic fallacy seeing an absence of evidence and using that as evidence of absence!
And the lack of evidence goes both ways, it should be easy to show that current regulations are fully safe by doing epidemiology to show that living close to a nuclear power plant carries no additional risk!
So let's go looking for those epidemiological studies...
> May 19 2026 - Does Proximity to Nuclear Power Plants Increase Cancer Risk? New research finds correlation between disease and living close to a facility
> Koutrakis says that his advisee’s research is notable because it is the first series of studies to systematically demonstrate associations between residential proximity to nuclear power plants and cancer outcomes across multiple settings using large, population-based datasets. “This work fills a critical gap in the literature by providing large-scale, systematic evidence on a question that has remained unresolved for decades.”
https://gsas.harvard.edu/news/does-proximity-nuclear-power-p...
And what do they see?
> Using nationwide mortality data from 2000-2018, we assess long-term spatial patterns of cancer mortality in relation to proximity to nuclear facilities while accounting for socioeconomic, demographic, behavioral, environmental, and healthcare factors. Cancer mortality is higher across multiple age groups in both males and females, with the strongest associations among older adults, males aged 65–74 and females aged 55–64.
https://www.nature.com/articles/s41467-026-69285-4
So there's a dose-response curve for cancer based on living close to a nuclear power plant. This survives correction for other confounders.
Notably, this is correlation not causation, but the only evidence getting close to disproving LNT actual leans towards super-linear, rather than sub-linear, correct?
What is different about this study that's worthy of a national map is that it's an evaluation of national data, after having first found the discovery on smaller state level datasets.
if it's the pollutants as the Nature paper claims without evidence, then any other industrial plant would also be emitting those. in fact, coal power plants will emit much more.
> Nuclear power plants emit radioactive pollutants that can disperse into the surrounding environment, leading to potential human exposure through inhalation, ingestion, and direct contact. These pollutants can be transported through air, water, and soil, contributing to long-term environmental contamination
> Radiation doses and cancer incidence among the population living within 25 km of three nuclear power plants (NPPs) in Ontario, Canada were investigated for the period 1985 to 2008 for radiation exposure and 1990 to 2008 for cancer incidence. This study design provided at least a five-year latency period between potential radiation exposure and cancer incidence. Around the NPPs, the incidence of childhood cancers, leukemia and non-Hodgkin lymphoma, in young children (aged 0 - 4) was lower than the general Ontario population, but not statistically so. Cancer incidence in children aged 0 - 14 was similar to the Ontario population. Overall, for all ages there was no consistent pattern of cancer incidence (all cancers combined and radio-sensitive cancers) across the population living within 25 km of the three NPPs. Some types of cancers were statistically higher than expected, others were statistically lower than expected, and others were similar to the general Ontario population. Although variations in all cancers combined and radiosensitive cancers were found in this study, the pattern was found to be within the natural variation of cancer in Ontario. During the period 1985 to 2000 (Pickering and Bruce NPPs) and 1985 to 2002 (Darlington NPP) radiation doses to members of the public from the operation of the NPPs, estimated on the basis of a hypothetical individual at the facility fence line, were ≤0.052 mSv/year; while for the period 2001 to 2008 (Pickering and Bruce NPPs) and 2003 to 2008 (Darlington NPP) radiation doses, more realistically estimated using the critical group concept for six age classes, were ≤0.0067 mSv/year. Hence, public doses from environmental releases of radionuclides from Ontario NPPs represent a very small fraction of natural background radiation (1.338 and 2.02 mSv/year) in the regions where the NPPs are located. Our study shows no evidence of childhood leukemia clusters around the three NPPs and that the incidence of all the cancers investigated for all age groups is within the natural variation of the disease in Ontario. The radiation exposure from NPP operation is a small contributor to the public’s total exposure to radiation and is not a plausible explanation for any excess cancers observed within 25 km of any Ontario NPP.Check out the interview with Dr Bernie Cohen, who did a lot of the early epidemiological work. The interviewer is rather woo, but the professor is as hard-nose a scientist as you could hope for. It makes a good pair because it let him correct misconceptions.
Long story short, Dr Cohen became unpopular after his data showed home radon levels to be negatively correlated with lung cancer risk. The more radon, the lower your risk of lung cancer.
E.g. even 10x the normal background is still ridiculously low.
Also, the LNT model is good enough. It's really the most conservative model that we have, so it makes sense to keep using it. We just need to quantify the risk increases properly.
These numbers really need to be put into proper perspective.
Chernobyl is the northern part of Ukraine. The plume was highly directional and initially blew almost directly north into Belarus:
https://radioactivity.eu.com/articles/nuclearenergy/chernoby...
Not surprisingly, the majority of contamination was, overwhelmingly, in Belarus:
https://radioactivity.eu.com/articles/nuclearenergy/chernoby...
The author goes on:
"Radiation impacts on Scandinavia and Germany, where there were major fears about the effects of the fallout, were nugatory"
Well, yeah, because very little ended up in those areas comparatively?
If you wanted to trick the average person into thinking "wow even in the country where the reactor was, there was almost no health impact", the author's repeated choices in terms of information presented would be a fantastic way to do so.
The real facts: https://pubmed.ncbi.nlm.nih.gov/16832789/
"The study carried out in Minsk showed 40-fold increase of the incidence of thyroid cancer in the years 1986-1994, in comparison to the period 1977-1985. An increase of the incidence of thyroid cancer has generally been observed in many countries after the Chernobyl accident."
Later the author goes completely off the rails with whataboutism talking about Bhopal (which he claims isn't well known. I say: it's probably one of the most famous chemical industry disasters of all time? and the China dam disaster, which is pretty well known, mostly because nuclear proponents bring it up incessantly.)
This is nearly as bad as the nuclear proponents who always compare nuclear to coal, when in the US alone solar is what's replacing nuclear at a ratio of 6MW of solar for every 1MW of nuclear, and coal has been getting phased out for well over a decade because it's expensive.
There's no safe dose of radiation, there's only statistics.
And I'm not sure what this article is supposed to justify? Building power generation technology with the potential to make whole regions unlivable is ok now?
Willfully creating hazards that can affect people for thousands of years, starting with Uranium mining & processing to nuclear waste is a good idea?
Having to fortify a nuclear plant so it can withstand a plane crash (most won't withstand double plane crashes), securing it against terrorist - and then still have it fall into enemy hands that can use it as a bargaining chip (Russians are controlling Zaporizhzhia) is a good idea?
You know what the engineers of Three Mile Island, Chernobyl and Fukushima had in common? They thought their plants were safe.
So even if "Radiation totally not bad, actually healthy" is the point here: It is still a tremendously stupid idea to build nuclear power plants when there are much better and cheaper alternatives.
You need potassium to live; it's radioactive. UVB rays provide vitamin D, but too much can give you skin cancer. Of course it's all a stats game, but (ionizing) radiation plays an important part in our lives and survival.
Of course it's all a stats game, but the stats can play out how much you should worry about it. Living in Denver can expose you to up to twice as much cosmic radiation as somebody living at sea level, yet there are no statistical differences in cancer rates. You don't need to worry about your granite countertops, either (though it's fun to joke about the radioactive stone in the US capital building making congress "toxic").
In Switzerland there is now again the idea to build nuclear plants, by some (I'm pretty sure the political party that initiated this gets a lot of money from the nuclear lobby - unfortunately the money flow is intransparent in Switzerland.) A recent study in Switzerland [1] has shown nuclear plant are not competitive with solar, wind, hydro, and batteries, not even taking into account that accidents are not fully insured.
[1] https://www.20min.ch/story/akw-debatte-neue-atomkraftwerke-l...
The article claims the opposite with sources.
> there's only statistics.
You forgot about lies.
Do you know what's the count?
Such as? (of course with the same energy density and 24/7 capacities)
No one will be able to live in Chernobyl or Fukushima for hundreds of years. Or, well, they could but it would be stupid.