Viewing a single comment thread. View all comments

tommytornado OP t1_iwli20i wrote

Reply to comment by EffeteTrees in US States, Police Training v Shootings/Violent Crime (per million) [OC] by tommytornado

  1. That there is no correlation is exactly my point in reply to the original post to which this is a reply - https://www.reddit.com/r/dataisbeautiful/comments/ywowl8/us_states_police_training_v_shootingsviolent/
  2. What you're calling a 'concocted' metric is actually a derived metric and is perfectly valid.
2

narcolepticdoc t1_iwlp45g wrote

Still a correlation. Weaker looking one, but it’s there. Strike out the three obvious outliers and concentrate on the central data points.

2

tommytornado OP t1_iwlpowv wrote

Doesn't look like a clear one to me. What would you say the correlation is exactly?

0

narcolepticdoc t1_iwlspqn wrote

It’s not a great correlation but it’s there. Strike out the big outliers, (VT, CT, and HI). You’re left with a range around 400-1000 of training. If you look at the derived metric of shootings/ crime there’s a definite weight towards more shootings at the lower end of the training scale compared to the top.

Granted, the bulk of the dataset shows that by that metric the majority of states have relatively low numbers, but those that are elevated are all on the lower end of the 400-1000 scale and the magnitude of the elevation is weighted towards the lower end.

2

tommytornado OP t1_iwlw6a4 wrote

This is a kernel density plot with the 'outliers' CT, HI, MN, ND, VT removed to clarify that central section.

https://imgur.com/yamKZp1

Agreed, there does seem to be a bulge in the centre - around 650 hours, but still doesn't fully support the assertion that more training = less fatal shootings

1