@hansw@mastodon.social Great I think that will giveus a foundation to work with.

So Now ill provide some data, let me explain a bit how the granger causality test works so we can understand what would be considered valid data.

Generally causality tests are how we determine data shows causality rather than correlation. To do this the dependent variable is observed following some change. Since one event preceeds the other, presuming this happens consistently across many populations, then we can be confident that there is causality between them.

So for example we will look at how the homicide or violent rates of a population are effected in the decade or two immediately following changes in laws with guns. The question we need to answer is if making guns illegal, or restricted, causes homicide and violence (of any type) to go up , down, or maybe has no effect on it at all. We can look at both cases where guns are made illegal/restricted, as well as cases where gun laws are relaxed and see if there is a consistent pattern.

This way we can test to see if guns do in fact prevent violent crimes, or if they cause them, it will also address arguments where other forms of violence, like knife violence may have otherwise been prevented, or perhaps caused by the lack of guns. So it covers all the arguments at once.

Attached are several graphs of this nature. I can provide dozens more of this same nature from many more countries if you'd like. I am limited to only 4 images per post so ill post 4 such graphs here.