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A report published by The Ecomodernist argues that a method used in several Harvard-led studies of proximity to nuclear power plants and cancer can generate associations for unrelated landmarks, including Costco. The critique says the findings do not establish that nuclear plants cause cancer; the underlying studies describe population-level associations, and the materials provided do not include a response from their authors.
The Ecomodernist has published a critique arguing that a method used in several Harvard-led studies of nuclear power plants and cancer can generate apparent cancer associations for unrelated places, including Costco warehouses. The critique challenges what the studies can establish: the researchers describe population-level associations, not proof that proximity to a plant causes cancer.
The source says the Harvard studies assigned ZIP codes or counties a proximity score based on distance from nuclear plants, with nearer locations receiving greater weight and locations within range of multiple plants receiving cumulative scores. The analysis then used statistical models and other variables to estimate associations with cancer incidence, cancer mortality or total mortality.
The Ecomodernist says its authors replicated the analysis and applied the method to other landmarks. It reports estimated associations involving Costco, private colleges, Harvard and sports venues, including a claimed estimate of 120,687 annual cancer deaths associated with living near Costco. These are figures reported by the critique, not established counts of deaths caused by those locations.
The critique argues that the results show a limitation of using geographic proximity as a stand-in for radiation exposure. It also says the replication required work beyond code supplied by the study authors. The source does not provide the full replication materials or independent verification of the alternative estimates.
Why Proximity Estimates Need Caution
The dispute matters because cancer-risk estimates can influence public health decisions and public understanding of nuclear power. A statistical association between residence near a facility and illness does not, by itself, show that the facility caused the illness. That distinction is especially important when a study uses location as a proxy for a specific exposure, such as radiation.
The critique’s examples are intended to illustrate how a model may return striking associations even when a causal pathway is not established. They do not, on their own, prove that the Harvard studies are invalid or that every result is an artifact. Evaluating that claim requires scrutiny of the data, model choices, exposure assumptions and independent replications.
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How the Plant Studies Were Designed
According to The Ecomodernist, the research sequence began with a December 2025 paper in Environmental Health on cancer incidence in Massachusetts. It says a nationwide cancer-mortality study followed in March in Nature Communications, along with a paper examining lung, breast and colon cancers in the Journal of Exposure Science & Environmental Epidemiology and a total-mortality study in Environmental Epidemiology.
The critique describes study areas extending as far as 120 kilometers in Massachusetts and 200 kilometers in national analyses. It says the researchers used county or ZIP-code proximity scores and combined those scores with statistical estimates to calculate relative risks and attributable fractions. Such population-level methods can identify patterns for further investigation, but the source says the authors themselves acknowledge that association does not prove causation.
““Proximity is not exposure.””
— The Ecomodernist
What the Estimates Cannot Establish
The supplied material does not include the Harvard researchers’ response to the critique, the complete study datasets or a peer-reviewed assessment of the replication. It is also unclear whether the alternative landmark estimates were independently checked or how sensitive they are to choices in the model.
The Costco and other landmark figures are estimates produced by the critique’s application of the method; they should not be read as verified death counts or evidence that those places cause cancer. The source also does not provide measured radiation doses for residents around the plants or establish what exposure pathways would explain the reported associations.
The key next step is a transparent comparison of the original analyses and the critique’s replication, including the code, data, exposure assumptions and statistical specifications. A response from the Harvard study authors could clarify how they interpret the proximity scores and address the alternative results. Until that evidence is available, the claims on both sides should be kept distinct: the studies report associations, while The Ecomodernist argues that the method can produce implausible ones.
Key Questions
Do the Harvard studies prove nuclear plants cause cancer?
According to the supplied account, the studies report population-level associations and do not prove causation. Establishing cause would require evidence beyond a relationship between location and cancer rates.
What does the critique say about Costco?
The Ecomodernist says applying the proximity method to Costco locations produced a large estimated association with cancer mortality. That is a result reported by the critique, not evidence that Costco causes cancer or a confirmed count of attributable deaths.
What is a proximity score in these studies?
As described by the critique, it is a score based on how close a ZIP code or county is to one or more nuclear plants. The critique objects that geographic closeness is not the same as measuring a resident’s radiation exposure.
What remains unsettled?
The supplied material does not include a response from the Harvard researchers or independent confirmation of the critique’s replication. The validity and interpretation of the competing estimates remain open to scrutiny.
Source: hn
