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Covid has really driven home a point to me. As a society, we are statistically illiterate. Politicians and journalists particularly so. Most of our important, newsworthy information today is statistical. This is a real problem. In the context of public schooling, I think statistics needs to become the primary discipline taught in high school maths. It's more useful to our work life, and (relevant in the context of public schooling) essential to informed citizenship. Literacy is a pretty close analogy here. The average person is totally ill equipped to to read politically relevant news and form an opinion about it. Often, the person who wrote it is just as ill equipped. Statistical statements have a tricky form. They seem like a statement of fact. They are, kind of. It's a fact that this researcher measured what she measured. The implication though, that's conjecture, and it may or may not be a good one. |
The whole "masks don't work" spiel that the WHO did was statistically legitimate... We really don't have proof (or whatever the medical community considers is "proof" - like double blind large scale trail with less than 5% chance of being false) that masks work. Statistically, we don't know.
But operationally masks have negligible risk and practical burden, while having a huge potential benefit (stopping the pandemic in its tracks), so even if the overall probability of this benefit is low (or at least not necessarily 95+%), it's the correct decision from an executive perspective.
Basically: scientific / statistical opinion: masks aren't proven to work; executive decision: recommending masks has minimal downside and massive potential upside;