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Cake day: July 6th, 2023

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  • My issue with this is that it works well with sample code but not as well with real-world situations where maintaining a state is important. What if rider.preferences was expensive to calculate?

    Note that this code will ignore a rider’s preferences if it finds a lower-rated driver before a higher-rated driver.

    With that said, I often work on applications where even small improvements in performance are valuable, and that is far from universal in software development. (Generally developer time is much more expensive than CPU time.) I use C++ so I can read this like pseudocode but I’m not familiar with language features that might address my concerns.








  • There’s already a genetic mutation that does that.

    Myostatin-related muscle hypertrophy is not known to cause any medical problems, and affected individuals are intellectually normal.

    And it makes you look like this:

    That’s a house-cat, and it looks like that without having to lift weights. Some people have this mutation too, and it’s particularly dramatic in children who would otherwise never be that muscular. (I’d post pictures but I’m not sure about the ethics of sharing photos of other people’s swole toddlers even when they’re already available online.)






  • Note that the retraction happened in 2015. I had heard of the original study but not the retraction. (I expect that I would have heard of neither the study nor the retraction if the study wasn’t about a politically charged topic).

    People who left the study were actually miscoded as getting divorced.

    At least it was a stupid mistake rather than poor study design.

    What we find in the corrected analysis is we still see evidence that when wives become sick marriages are at an elevated risk of divorce … in a very specific case, which is in the onset of heart problems. So basically its a more nuanced finding. The finding is not quite as strong.

    This on the other hand… I haven’t read the corrected study but I suspect this does not account for the fact that four different classes of illness were looked at, both because that’s a common mistake and because it makes no sense to me that men would divorce women with heart disease but not with cancer, stroke, or lung disease.

    (The probability that at least one study out of four would have significance > 95% simply by chance is 1 - 0.95^4 = 0.18549375.)

    Edit: Now I’m scared that I didn’t do the math correctly. That tends to happen when I try to be pedantic. Also there were eight categories, not four. (They also looked at women divorcing men.)