In college in 90% my professor said it was about 2%.

We know that 8% of us population are felons and that 75% reoffend. 75% of 8% is 6%. So 6% are repeat offenders.

https://www.sciencedirect.com/science/article/abs/pii/S0049089X21001265#:~:text=substantially%20between%20states.-,Shannon%20et%20al.,et%20al.%2C%202017).

You've found the loophole in the thirteenth amendment.

I love how the color arbitrarily changes just after Russia and China so they can appear to be in a worse category.

There are 15 counties in Russia's color group and they are 24th overall. There's 68 countries in China's group. Unless these colors groups are at specific and arbitrary intervals and China and Russia just happen to barely be on the one side of the threshold, then it means that this is an intentional decision meant to mislead.

Edit, yeah. Egypt is 117 and China is 119. Totally just made the decision to put China in a worse color for no reason. Why not make the cutoff a nice round number like 125 or 120, but no. 118. Brilliant.

Edit 2. If you divide 629 by 6, you get 104.8. multiples of that number should have been the cutoffs for these colors.

Yup. This is a reckoning fifty years in the making. Every policymaker, with the exception of Volcker in raising rates in '82 and Clinton and Gingrich managing budget surpluses , has pursued policies that just kick the can down the road.

The fact that we can be critical of our country as citizens should be appreciated. Let's make the most of the fact we can point out our own errors by doing something about them.

Well, there seems to be a positive trend in the US, then!

Can’t believe black people ratio so hard

I mean 2% is probably way too high of an estimate. We clearly put way too many people in prison in the US. Other countries have lower crime and lower incarceration rates. We need to take ownership of this problem as a society - it's immoral and just inefficient.

its not a crisis. its working as designed.

Also serves to disenfranchise a certain population

Cartels also got a big W

Kek'd

Something tells me the US are not going to survive longer than say the Roman Empire...

The dataset used to compare the United States to other countries is a few years older than the dataset used for comparing the states to each other, which is something I didn't notice before, good catch!

This is only federal inmates from BOP (federal). Crime was very bad in 1980 with 10.4 murders per 100k. Now its about 7.6. In 2010 it was 4.4. If just 2% are super bad people who cant be rehabilitated thats 6,800,000 people in US. What do we do with them? This is a problem of us as a society that we need to figure out.

https://www.ppic.org/publication/crime-trends-in-california/

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How is the number of inmates per 100,000 of the entire US 629, while the highest number for a state is 584/100,000?

Too bad we can't ship em all to Australia.

Yes, please.

As a passion project of mine many years ago when i left college i started tracking the city's SSIP project with data visualization. It was mostly for me to keep up on my excel (actually, google sheets) skills.

All of this data was collecting directly from quarterly and annual reports published by the SF SSIP.

Has been a kitsch way to keep up on the city's accountability of their budget allocation.

edit: it seems my last graph is missing its legend/key.
the below legend is only for the last two graphs
blue is total amount of pre construction projects
red is projects in design stage
yellow is projects in the planning stage
green is projects in the bid/award stage.

This is great.

I wish the morons who show animated charts that obfuscate instead of elucidate would learn from this.

Finally something Mississippi is leading…insert sad trombone noises here. But it would be great to see overlays of metrics that incarceration is meant to resolve, eg safety/quality of life metrics. It would also be cool to see race normalized and/or correlated with the obvious punchline of states with more POC have higher rates, but there might be some insights from places with equal numbers of POC but drastically different rates

This is horrible presentation... I have no idea what this is trying to display

In other words it's arbitrary groupings. The original visualization doesn't suffer from that.

The racial proportionality in the south was unexpected