this post was submitted on 24 Jun 2026
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[–] The_v@lemmy.world -1 points 4 hours ago (1 children)

It's a decent argument but it's not supported in the data.

Now I am going to have to dig up that study from China. They had a sample size of over 1 million people with repeated blood draws, medical history and a full alcohol use history. It showed the same all-mortality curve for non-drinkers (never consumed) versus light drinkers.

What's interesting is heavy drinkers who quit reverted back close to the never consumed level after like 5 years.

I swear I had it saved to my zotero account but I can't find it. I will keep looking.

Bottom line: ethanol under the right dosage reduces cardiovascular disease and diabetes. The amount of reduction more than compensates for its risks of creating other diseases like cancer. However the negative effects of over-consumption make it unethical for any medical professional to recommend non-drinkers to start drinking. If you choose to drink, 1-2 drinks per day depending on sex and weight is the hard limit.

[–] SaveTheTuaHawk@lemmy.ca 2 points 3 hours ago* (last edited 3 hours ago) (1 children)

2 drinks a day is a heavy drinker.

The blood thinning effect of alcohol has been dismissed by several studies, it's a cause of many types of heart disease. The problem is people lie about intake, and the teetotlers and typically ex alcoholics.

Ethanol is a toxin, it effects mitochondrial efficiency at incredibly low levels. Huge risk factor for dementia.

Also be careful of regional studies like the large Chinese cohort because a lot of effects are due to genetics. Bad epidemiology had people convinced fish oil would would prevent heart disease because of one study in inuit that failed to consider genetics.

There is no safe amount of alcohol.

https://www.who.int/europe/news/item/04-01-2023-no-level-of-alcohol-consumption-is-safe-for-our-health

[–] The_v@lemmy.world -1 points 3 hours ago

Speaking of terrible studies. The one you linked is absolutely terrible.

Have you read of the actual paper. Their conclusions are absolutely not supported by the evidence and their methodology is statistically invalid.