This isn’t exactly an in depth study so I could still be wrong, but it’s much more convincing than just some assurance from a random stranger on the internet.
That is such a shallow glance at statistics that I am not even going to bother discussing it. It’s obvious you have zero grasp on statistical inference.
It’s literally same error that conservatists propagate with bipoc areas crime rate…
It’s not deeply rigorous but it’s correct reasoning in principal.
The scientific and statistical standard interpretation of the null hypothesis is that there’s no relationship between the variables in question. It’s up to the researcher to establish an evidence based argument that the null hypothesis should be rejected in favor of some alternative.
When we “fail to reject” the null hypothesis, we haven’t proved it’s true, we just continue to assume it is until someone proves otherwise.
In this case, the alternate hypothesis is that there’s a correlation between incarceration and crime rates and the null is that no such correlation exists.
According to a quick search, the US has the 6th highest incarnation rate per capita but is only 148th lowest in intentional homicide rate. Obviously this is far from conclusive but it suggests there’s no strong correlation. There are likely much more significant factors than how prison-happy a country is.
This isn’t exactly an in depth study so I could still be wrong, but it’s much more convincing than just some assurance from a random stranger on the internet.
That is such a shallow glance at statistics that I am not even going to bother discussing it. It’s obvious you have zero grasp on statistical inference.
It’s literally same error that conservatists propagate with bipoc areas crime rate…
It’s not deeply rigorous but it’s correct reasoning in principal.
The scientific and statistical standard interpretation of the null hypothesis is that there’s no relationship between the variables in question. It’s up to the researcher to establish an evidence based argument that the null hypothesis should be rejected in favor of some alternative.
When we “fail to reject” the null hypothesis, we haven’t proved it’s true, we just continue to assume it is until someone proves otherwise.
In this case, the alternate hypothesis is that there’s a correlation between incarceration and crime rates and the null is that no such correlation exists.
As of now, the bulk of the research has failed to find such a relationship https://scholar.google.com/scholar?hl=en&as_sdt=0%2C22&q=correlation+incarceration+crime&btnG=