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Joined 4 months ago
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Cake day: October 16th, 2025

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  • Why does anyone need a robot vacuum cleaner? Nobody does. You can use a normal vacuum cleaner. Or you can have a dirty house. So “why does it need…” is automatically the wrong way of framing it.

    So, why do they have:

    1. a camera? To use computer vision to try and avoid socks you left on the floor.
    2. internet access? Because the cheapest way for a company to let a large market control a device nowadays is through a smartphone app. That means it needs to be network-enabled, so internet-enabled is no extra cost. It brings some benefits, too; it means you can control the device (whatever it is) when you’re out. If you forgot to set the robot vacuum off before you left the house, you could do it while out.
    3. a microphone? These are rare, but given that you already have a device that can trundle round the house, is internet-connected, and has a camera in it, why not add a microphone so you can use it as a security camera?

    Nobody needs any of these features, but each provides something useful to someone.




  • “zero fucks given” means “I don’t care” but is a) profane and b) carries extra connotations. “das ist mir wurst” isn’t crude in the same way at all, and I don’t think it carries the same implication of keeping cool.

    Translating idioms is hard and they rarely translate exactly, but especially if you pick an idiom which is already a niche way of saying something that there are more common ways to express.



  • I don’t understand exactly what you did with chatgpt but I wouldn’t trust it on this. A textbook or Wikipedia would be a better source.

    In practice p-values are used with a normality assumption. That assumption is widely valid because of the central limit theorem which means that normal distributions show up very very often.

    And in practice they’re used as a formula to decide when a result is “statistically significant” i.e to give an idea of how likely an observed difference is due to a real phenomenon. So if people in a drug trial report feeling ill for two fewer days on average, calculating the p value will answer the question “what are the chances there’s actually a difference?”

    I’d look for more examples - loaded dice examples are usually easy to understand too.



  • Right. But that’s what p-values quantify: given the number of trials and the observed variance and means, how likely is it that the two groups are drawn from the same distribution versus actually having different means?

    So variance isn’t “more important” than p-values; high variance means that (by definition) your p-value is lower (less confident) than it otherwise would be.


  • So you have two groups of ten experiments, mean if group A is 100, mean of group B is 105, variance is 25 (for both groups). Obviously we are not confident that these groups differ.

    Now suppose we repeat the experiment two billion times. The group A average is now 99, and the group B average is now 103. The variance is still 25. Are you still not confident that the groups are different?



  • OK? But we’re not calling archery bows and violin bows circular; we’re calling them bows i.e. curved. And we’re calling the rainbow a bow, i.e. curved, which it is. Curved does not imply circular, but circular does imply curved.

    Besides, I don’t think the proto-indo-europeans were out there with calipers measuring the precise curvature of objects they decided to label with the *bheug- root.