I’m guessing it literally is a few lines in R, plugging in the polling data after running it through a “model” (i.e. tinkering with the variables based on how polls have historically translated into votes)
Gotta dump results in some accumulate tho, and if then logic might be eh (although with branch prediction it might be auto 2 threads actually or similar utilization at least)
could you please input that into chatgpt so it will give me a summary of the code output? I’m a busy data driven guy so I don’t have time for the details. however, I do have time for this post
the simulation in question:
for (int i = 0; i < 80000; i++) { if (rand() % 2 == 0) { printf("Kamala wins\n"); } else { printf("Trump wins\n"); } }
I’m guessing it literally is a few lines in R, plugging in the polling data after running it through a “model” (i.e. tinkering with the variables based on how polls have historically translated into votes)
huh, the sync for Lemmy code block renderer doesn’t show the \ even within the code block 👁️👁️
Seems lots of unnecessary mods tbh,
S=0
for i in 1:80000
S+=rand()
end
ceil(S)
Modding by 2 is just a bitwise operation tho
Gotta dump results in some accumulate tho, and if then logic might be eh (although with branch prediction it might be auto 2 threads actually or similar utilization at least)
could you please input that into chatgpt so it will give me a summary of the code output? I’m a busy data driven guy so I don’t have time for the details. however, I do have time for this post
Hey! I understood that! That Python class must’ve taught me something after all.
This is much cleaner than mine that I did in python.
thanks. Nate Silver paid me $50k to write this