puglover's review

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informative lighthearted

4.5


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cattlebeest's review

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emotional hopeful informative inspiring reflective medium-paced

4.5


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ellieintherye's review

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informative inspiring reflective fast-paced

3.5

Finally getting around to this one after like... 15 years?

It was interesting. They really belabor the point that correlation does not equal causation. For any person working in data analysis, scientific research, or in a field that requires any semblance of critical thinking, this is critical. However, I felt that they hid behind this rule, then attached causal relationships to correlated variables in a few places. Then, said something like "[this other random variable] could also be the reason for this issue." It was weird and a little irresponsible in my opinion.

At certain points, it was clear that some parts are now outdated — not surprising, given it was written in 2006. But, the research regarding Roe v. Wade leading to lower crime rates was fascinating, timely, and sooooooooo important. Relying on data to justify women having a say in what happens to their own bodies is pretty messed up, but if it helps, we'll take it I guess.

Worth a quick read with a critical eye. 

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