Anybody here learning logic/statistics?

[greycel]

Not philosophical, but Formal logic. What about Bayesian statistics or any other branch of probability theory? How has it changed the way you think outside of academia?
Got a few thousand hours to burn

 

[greycel]

@Jason Voorhees @imontheloose @Hide @takethewhitepill @topology

 

[Jason Voorhees]

I learned statistics from a CS point of view for ML side of things and use it often.

 

[topology]

@Jason Voorhees @imontheloose @Hide @takethewhitepill @topology

i spent the largest percentage of my study time for math competitions on probability

combinatorics, classic probability, graph theory (this one was barely used, my tutor just taught me it for little to no reason), bayesian statistics, etc

How has it changed the way you think outside of academia

i always thought that if you do something that has a probability of 1/x, and you do it x times (with x > 1 and x in the real numbers), then you’re guaranteed to get it. i was pretty shocked when i realized it’s only around a 63% chance.

also, i used to think plinko was terrible for money. it still is, but i realized it’s not as bad as i originally assumed. the chance of hitting the 1000x being something like 1 in a million isn’t because the prize is impossible, it’s because most of the time you’re just getting your money back. learning about the expected value of a discrete probability distribution actually changed how i looked at things like that
lastly, bayesian statistics made me realize that the probability of p(a | b) is completely different from p(a) * p(b). i had always assumed they gave the same result and ended up with wrong calculations because of it. once i learned how conditional probability and bayesian updating actually work, i stopped seeing events as isolated

these examples are the only ones i could remember off the top of my head

now, i'm in my first year of university, so i'm not learning anything realting to probability at the moment. everything i know is by self studying.

Got a few thousand hours to burn

you wouldn't need more than like 300 hours to learn what i know. i just did 2 hours of tutoring every week for years. only if you're doing a PhD or masters would you need that much time

 

[takethewhitepill]

Not for a while now but I have spent a good amount of time with it. I think bayesian probabilistics is something you can learn within about 10 minutes, basically just assign the probably of A occuring in a vacuum and put it over the probability of A given B mult by p of B. I think at least, its a lot easier to be coherent if I just gave an example or formula but you can read wiki or youtube in 10 tops I reckon. I think its a kind of self evidential theory tbh. What else are you trying to learn? Aside from uni and school most of my probabilistics is to make philosophical arguments so its probably not what you want