• 1 Post
  • 13 Comments
Joined 1 year ago
cake
Cake day: February 17th, 2025

help-circle




  • Well keeps people from coming to my house and harassing me simple because my politics are different. There’s that.

    Government could entrap me based on data they get from me, or I could be deceived or be part of a targeted propaganda. Like I could see the propaganda but with the data they get it could be tailored it so that it’s more convincing to me.

    Also just having privacy avoids scrutiny. Maybe I just want to watch an anime and not have it part of a recommendation algorithm or ads if I didn’t block them.


  • I didn’t understand what chat gpt did entirely.

    Ironically with loaded dice I would look distribution of results and see that it’s not uniform distribution after a billion tosses and say it’s not fair/ loaded. I would do that simply to avoid figuring out how to prove the probability of a given set of due results.

    It’s more about the journey to the p value the calculate p value.

    I have seen that 1 drug recovery time example and that’s the easiest given that it’s normal distribution and it can be put into a region that less than 5% probability


  • I did ask chatgpt 5.2 how to calculate the p value the sets of means and variance and set the null hypothesis as the means being the same then used Pooled t-test. The ai determined that both samples were more than 13 than the p is less than 5%.

    P value seems a concept with a mathematical descriptions, but then I run into a wall when it’s like how do you figure out probably of group A having the values it has given group B values. I would need to see how people actually calculate their p values and null hypothesis to get concrete examples

    I do like how the Wikipedia page shows that a set of 20 coin flips having 14 heads would have a p value above .05


  • So I looked into the definition of P and it can depend on variance if you assume gaussian distribution.

    I wouldn’t know how you would get a P value for 2 different distribution with similar means. I can come up with the null hypothesis being that group a and group b are the same, but then idk how to relate that to a probability of given mean and variance of A is B.


  • I’d be curious what constitution a group a versus a group b and how you get 2 billion of them.

    But I’ll interpret it as sperm on a race track since you can get 2 billion runs with one nut.

    I have to say after billion trials the averages that you calculate did come from random sample, but it would be indicative average for that group since it can’t move far from that calculated average.

    I’m visualizing the 2 billion points of both groups and seeing a bell curve with a lot of overlap. I guess they would be different, but overall very similar since the variance is pretty wide.



  • You can the issue with A-B comparison is that is kinda expected for one group to be higher on average simple based on the data points you selected.

    If the averages are kinda similar and variance are high in both group A and B then I’d say both groups are statistically the same even if the statistical values are different