Saliva causes cancer, but only if swallowed in small amounts over a long period of time.
(George Carlin)
For this to be a risk, the cancer risk would have to be superlinear in the acetaldehyde concentration. In a linear model, the high local concentrations would not matter overall, because the expected number of mutations you get would not depend on how you distribute the carcinogen among your body cells.
Or the cells in your mouth or throat could be especially vulnerable to cancer.
From my understanding, having bacteria in your mouth which break down sugar to ethanol is not some bizarre mad science scheme, but it is something which happens naturally, as an alternative to the lactic acid pathway, and people who never get cavities naturally lucked out on their microbiome. This in turn would mean that even among teetotaler AFR patients there should be an excess of oral cancers, and ideally an inverse correlation between number of lifetime cavities and cancer rates.
On the meta level, I find myself slightly annoyed if people use image formats to transport text, especially text like the quotes from Scott’s FAQ which could be easily copy-pasted into a quotation. Accessibility is probably less of an issue than it was 20 years ago thanks to ML, but this still does not optimize for robustness.
For this to be a risk, the cancer risk would have to be superlinear in the acetaldehyde concentration. In a linear model, the high local concentrations would not matter overall, because the expected number of mutations you get would not depend on how you distribute the carcinogen among your body cells.
Or the cells in your mouth or throat could be especially vulnerable to cancer.
From my understanding, having bacteria in your mouth which break down sugar to ethanol is not some bizarre mad science scheme, but it is something which happens naturally, as an alternative to the lactic acid pathway, and people who never get cavities naturally lucked out on their microbiome. This in turn would mean that even among teetotaler AFR patients there should be an excess of oral cancers, and ideally an inverse correlation between number of lifetime cavities and cancer rates.
On the meta level, I find myself slightly annoyed if people use image formats to transport text, especially text like the quotes from Scott’s FAQ which could be easily copy-pasted into a quotation. Accessibility is probably less of an issue than it was 20 years ago thanks to ML, but this still does not optimize for robustness.