Public health officials are throwing their credibility into a bonfire when they land on a fixation and use heavy handed strategies to pursue their goals, without a sense of proportionality or efficacy.

I've been trying to find a place where people write down these tricks so that I can at least name and classify them for myself. There's one that particularly gets me, a kind of false aggregation. Say breast cancer is 99% treatable and costs $1m and prostate cancer is 1% treatable and the most you'd spend is $1k. Suppose someone said "cancers can be as bad as 1% treatable while attempts can be up to $1m to do". Well, that makes it sound like there's a cancer where you spend a mil and it's 1%. This kind of false aggregation obscures the truth.

It would be useful to me so I can concisely name this kind of thing and then work with it to preserve epistemic hygiene.

0: The distinctively beautiful website is brand enough haha

i would much rather read this collation directly, give me bullet points. in such a structured format it would also be easier to analyze if a given statement is too specific or has too many qualifiers. it would also be easier to notice what's missing.

I grew up reading NYTimes on the weekend with my parents. I held them in extreme high regard when it came to their news and journalistic integrity. Over the years, I've shifted to think of them as another data point. For the industries that I'm most familiar with (Tech, Finance, and Pharma), I find their reporting often shallow, lacking in nuance, or intentional/unintentional misreporting. And I often wonder if their reporting of other areas is similarly lacking.

Now, they are just another data point, which is sad.