Message from @Christmas Merlin
Discord ID: 683477591625433165
if you don't know any different....
what are you allowed to exist, Dotty?
YEET THAT
even then, having disproportionally more men than women leads to an increase of violence
does it?
you seem to think cultures are all the same
statistically, yes
no
statistics don't apply
and it's also plausible since you'd need to try harder to compete for a female
>statistics don't apply
get the fuck outta here lol
that's like trying to statistically examine a pebble on a beach's likely hood of being part of a single, specific dinosaur creature
statistics consistently apply to large groups of people
you can apply them all you want; you'll just get garbage
there's an increase of violence corresponding to an imbalance of a men to women ratio
again, you are trying to apply causation as if it were causality
@Christmas Merlin also a bernie supporter of course
inappropriate use of statistical analysis
Why can a smell a strong simp b
Vibe
THATS THE JOKE
and increase in violence correlates with about a million other things also
in that case it might very well be causality since there's clearly grounds for frustration if you know you can never have a wife like it's the case for many men in china
if you have more than 6 degrees of freedom, you don't have any meaningful correlation
Every tuesday, a person of a particular race dies. Every tuesday, every person of that race engages in a certain activity.
that doesn't mean that activity kills people
if the sampling is big enough, you'll get the same correlation via just random chance
Bayesian Mathematics
english not your first language?
please read the above
my third
`if the sampling is big enough, you'll get the same correlation via just random chance` but this is still nonsense
the bigger the sampling the more precise the statistics
a hypothesis must be tested or it's just speculation. a proper scientific test has exactly ONE control variable and ONE test variable
a statistical analysis performed on a set of people which cannot be adequately randomized yields no meaningful data. it's like trying to say that being born on Tuesday reduces your average lifespan because of all the people that ever existed that were born on Tuesday, that day had the lowest avg life expectancy