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A commentary in The Ecomodernist argues that a proximity-based method used in Harvard-led studies of nuclear power plants can produce apparent cancer associations for unrelated landmarks. Its examples raise questions about the method, but do not show that nuclear plants cause cancer or that the cited landmarks do. The underlying studies describe population-level associations, not proof of causation.
A commentary in The Ecomodernist says a method used in several recent studies linking proximity to nuclear power plants with cancer outcomes can also generate apparent associations for unrelated places, including Costco warehouses and sports venues. The examples challenge how the method is interpreted, but they do not establish that nuclear plants, Costco, colleges or stadiums cause cancer.
The commentary describes four studies led by researchers at Harvard T.H. Chan School of Public Health: a Massachusetts cancer-incidence paper published in December 2025, a nationwide cancer-mortality study published in March, a study of lung, breast and colon cancers, and a later paper on total mortality. The source does not give full publication dates for the latter studies.
According to the commentary, the studies create a proximity score for ZIP codes or counties within set distances of nuclear facilities: up to 120 kilometers in the Massachusetts study and 200 kilometers in nationwide analyses. Locations nearer plants receive higher weights, and areas within range of multiple plants can accumulate scores. Researchers then use statistical models and other variables to estimate associations with health outcomes.
The authors of the commentary, who say they replicated and extended the analysis, applied the method to other landmarks. They report associations for locations near Costco stores, private colleges and sports grounds, presenting these as evidence that the method may produce misleading results. They cite, among other figures, a claim that more than 2.2 million cancer deaths over 2000–2018 could be attributed to Costco under the approach. That is the commentary’s result from applying the model, not an established count of deaths caused by Costco.
What the Landmark Test Shows
The dispute matters because statistical estimates of attributable deaths can sound like direct counts of harm, even when the underlying analysis measures an association between population-level outcomes and a proxy for exposure. If proximity scores do not accurately represent radiation exposure, or if other differences between places are not adequately accounted for, estimated risks may be difficult to interpret as effects of a nuclear plant.
At the same time, applying a method to unrelated locations does not by itself prove the original findings are false. It raises a question about the method’s specificity and robustness that needs to be addressed through transparent data, independent replication and appropriate comparison analyses. For readers, the central distinction is between an observed association and evidence that one factor caused disease.
How the Proximity Scores Work
The studies described in the commentary use geographic distance as a way to rank communities’ proximity to nuclear plants. The commentary argues that this is not the same as measuring residents’ radiation exposure. It points to monitoring of nuclear workers, claiming that most closely monitored U.S. workers receive no measurable annual dose and that the average dose among exposed workers is about 2% of the occupational limit. These figures are presented by the commentary; the supplied material does not provide the monitoring data or an independent review.
The researchers, as characterized in the source, have said the work is ecological research: it assesses patterns across populations and does not establish causation. Such studies can identify patterns for further investigation, but they cannot by themselves show that an individual’s cancer was caused by a nearby facility. The commentary says its own replication required additional work beyond code supplied by the researchers, but the source gives no independent peer-reviewed assessment of that replication.
“But proximity is not exposure.”
— The Ecomodernist commentary
What the Analysis Cannot Establish
The source material does not include the full papers, datasets, model specifications or independent evaluations needed to determine whether the commentary’s replication is accurate or whether the original studies’ results withstand alternative methods. It also does not give enough detail to assess how the models handled potential confounding factors, such as differences in population, health care access or local conditions.
Most important, neither the commentary’s landmark comparisons nor the proximity studies, as described here, settle whether living near a nuclear plant changes cancer risk. The reported Costco and college estimates should not be read as causal death counts, and the source does not provide a measured radiation dose for residents in the studied areas.
Independent Tests of the Findings
The next useful step is for researchers to examine the original analyses and the commentary’s replication using publicly accessible methods and data. That would help clarify whether the associations persist under alternative proximity definitions, exposure measures and statistical controls. The supplied material does not identify a scheduled response from the Harvard researchers or a planned correction or follow-up publication.
Readers should treat the reported numbers as model-based associations under dispute, not evidence that a named landmark caused cancer. Further research would need to connect a credible exposure measure to health outcomes while addressing competing explanations before making stronger claims about risk.
Key Questions
Did the studies prove that nuclear plants cause cancer?
No. As described in the source, the studies report population-level associations and do not establish that nuclear plants caused cancer.
Does the Costco figure mean Costco caused millions of cancer deaths?
No. The figure is the commentary’s result from applying the proximity-based method to Costco locations. It is not a verified count of deaths caused by Costco.
What is the main criticism of the studies?
The commentary argues that distance from a nuclear plant is not the same as a person’s radiation exposure, and says the method also produces apparent associations when applied to unrelated landmarks.
What would help resolve the disagreement?
Independent replication using the original data and transparent methods, along with stronger exposure measures and tests of alternative statistical models, could clarify how robust the reported associations are.
Source: hn
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