There is a graphic going around this week. The numbers are big and the message is bigger: people who use sunscreen had a 292% higher risk of invasive melanoma, 140% higher for basal cell carcinoma, and 126% higher for squamous cell carcinoma. The implication being pushed: sunscreen is the problem, public-health advice was a lie, put the bottle down.
The percentages are real. They are pulled straight from a genuine UK Biobank study of more than 470,000 people. Everything built on top of them is wrong — and you can prove it using the same paper the posts are linking to, which is the one thing nobody resharing it appears to have opened.
- Title
- "Gene-environment analyses in a UK Biobank skin cancer cohort identifies important SNPs in DNA repair genes…"
- Published
- Cancer Epidemiol Biomarkers Prev, November 2023 (not new)
- Actual subject
- DNA-repair genes — chiefly FANCA — and how their variants interact with sun exposure
- Sunscreen's role
- One of 11 demographic/behavioral covariates, modeled one variable at a time
- Cohort
- 472,672 people; Caucasian-only by design; self-reported behavior
- Design
- Observational, cross-sectional — cannot establish causation
- Authors' conclusion
- Demonstrates "the importance of adequate and frequent sunscreen use"
It is not a sunscreen study
The headline finding of this paper is that variants in a gene called FANCA — part of the cell’s DNA-repair machinery — interact with sunlamp use and a history of childhood sunburns to modulate skin-cancer risk. That is the paper. The title says so. The abstract says so. The discussion spends its length on FANCA, BRCA2, EXO1, and the case for combining genetic and clinical data in risk prediction.
Sunscreen is one of eleven background variables in a questionnaire — sitting alongside sex, hair color, skin color, tanning ability, and time spent outdoors. Calling this “a sunscreen study” is like calling a crash-injury database “a study proving seatbelts cause whiplash” because the injured people were wearing them.
Where the scary numbers come from — and what’s missing
The viral figures are the relative-risk ratios for the most frequent sunscreen category (“always”) versus the least (“never/rarely”): roughly 3.92 for invasive melanoma (+292%), 2.40 for basal cell carcinoma (+140%), and 2.26 for squamous cell carcinoma (+126%). Real outputs from the paper’s regression.
Here is the part the posts invented. The most-shared version claims these risks “remained even after researchers adjusted for age, sex, skin type, tanning ability, sunburn history, sunlamp use, and time spent outdoors.” The paper’s own Methods say the disease-environment analysis ran multinomial regression “for each predictor variable” — essentially one variable at a time, against healthy controls. That sunscreen number is not a fully mutually-adjusted estimate that survived controlling for fair skin and heavy sun exposure. The reassuring “we accounted for everything” line was added to make a textbook confound look like a smoking gun.
The seatbelt fallacy, by its proper name
Who uses the most sunscreen? Pale, freckled, burn-in-ten-minutes people who spend time in the sun — the population already at the highest baseline risk of skin cancer before they ever open a tube. So of course the heavy-sunscreen group shows more skin cancer. This is confounding by indication: the same reason “people who take painkillers have more pain” does not mean ibuprofen causes injuries.
Stacked on top is reverse causation. Get a suspicious mole biopsied and you become the most diligent sunscreen reapplier on the beach. The cancer came first; the habit followed. A cross-sectional survey of 50-to-69-year-olds recalling their childhood sunburns cannot tell which came first — and the authors explicitly list “increased use of sun protection following skin cancer diagnosis” as an explanation.
The study’s own paper names the effect the “sunscreen paradox” and resolves it: higher-exposure people use more but inadequate sunscreen, reapply too little, and treat it as a license to stay out longer.
The authors concluded the opposite of the headline
You do not have to infer their position. The paper states the result “demonstrate[s] the importance of adequate and frequent sunscreen use and minimization of exposure to UV light, particularly in individuals with fair skin.” The accompanying McGill release is titled around a “false sense of security” from under-using sunscreen. The posts took a paper that says use sunscreen correctly and captioned it sunscreen bad.
Note also what the paper found genuinely protective: darker skin (relative risk as low as 0.01–0.65) and darker hair (0.27–0.63). The mechanism is melanin and UV, exactly as established. Nothing here overturns the basic physics of sun damage.
The garnish nobody checked
The spiciest version — from an outlet running it two headlines below “Mel Gibson Warns of the Antichrist” — adds that chemical filters like oxybenzone and octocrylene leach “toxins” into your bloodstream, plus a vitamin-D-deficiency angle. None of that is in the study. The researchers measured exactly zero of it. It is seasoning sprayed on a statistics artifact to make it taste like a cover-up.
How a 2023 paper “broke” in 2026
This is also a clean specimen of how science laundering works:
- A legitimate 2023 genetics paper sits quietly for two and a half years.
- In June 2026 it gets a viral X post (from an MPH account that reliably amplifies “everything they told you is a lie” content) reducing it to three percentages and an “even after adjusting” claim the paper never made.
- An aggregator (The People’s Voice) wraps that single tweet in an article and embeds it as the source.
- A sibling site (Self Reliance Central) reprints the same numbers the next day.
- It lands in your feed as “a major new study.”
Nothing changed in the science. What changed is which ecosystem picked it up.
The UK Biobank paper is a 2023 study of DNA-repair genes — its real finding is that FANCA variants interact with sunlamp use and childhood sunburns. Sunscreen was one of eleven covariates, and its eye-catching risk ratios are unadjusted, one-variable-at-a-time associations in a self-reported, Caucasian-only, cross-sectional cohort. That is textbook confounding by indication plus reverse causation: the people who use the most sunscreen are the pale, sun-exposed people already most likely to get skin cancer, and many start using more after a diagnosis.
The authors' stated conclusion is to use sunscreen adequately and frequently — the inverse of the viral claim. Wear it, reapply it, and don't treat SPF as a license to bake. And maybe open the paper before dunking on thirty years of evidence.