I'm so nervous about this video. It's weird to admit getting duped by something, but there's nothing that scares me more than people who think it never happens to them. Examing why and how it happens...like, what's going on in my own brain, and also in the systems I'm interacting with, is very important in my work. Creating content based on definitely bad / misleading information is one of my big worries.

These are all really weird and complicated examples that I could spend a further hour or two discussing. Like, for example, that (depending on your start date and the data set you use) the relationship between rent and income can be shown to diverge substantially or stay very close together (though, not in 2022 or 2023, where all data sets show them diverging in the US.)

The NOAA data one is the most fascinating to me as I honestly think that the internet's response to the information is a kind of classic misinformation / degradation of trust cycle where an organization says something that is then misinterpreted by people online and then the misinterpretation is assigned to the authority (who never said it) and used to degrade the authority of that organization.

A CHALLENGING INFORMATION LANDSCAPE

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