Category:Datasets: Difference between revisions

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* Crowd Source Data
* Crowd Source Data
** Users tag data with classification tags, based on snippets from Wikipedia.
** Users tag data with classification tags, based on snippets from Wikipedia.
** Browser widget lets people jump to the next needed classification tag.
** "Needed" is defined by people putting money into refinement of the data.
** "Provided" is defined by ... users putting cash in to vote on data quality and an ML algorithm allocating the correctness value of each classification based on other submissions and data quality votes.
** Taggers get paid based on a function of "Needed" and "Provided"

Revision as of 02:22, 14 July 2024

To include your page here, tag it with [[Category:Datasets]].

Datasets

Links

IPH

So, extremely roughly:

  • 2,000 cases with access to a gun, 200 cases without.
  • 20 per 100k with access to a gun.
  • 2 per 100k without access to a gun.
  • worst case 18 per 100k due to access to a gun. (could also be killers are more likely to have access to a gun - so maybe 10 - 15 per 100k is the realistic case)
  • 10mm abusers annually
  • 44% of households have guns
  • 4mm abusers with guns kill 2,000 people (with roughly 1500 being avoidable)
  • Each abuser has a 1:2000 chance of being a killer if they have a gun.

homicide:

  • annual homicides: 26,031 or 7.8 per 100k
  • annual gun homicides: 20,958 (81%)
  • Population 350mm
  • Each random person has at most a 1:13,461 chance of being a killer.
  • domestic abuser without a gun is 1:20,000 to kill partner
  • domestic abuser with a gun is 1:2,000 to kill partner
  • domestic abuser with a gun is 1:1,346 to kill anyone (extremely rough)
  • Which recapitulates the earlier stat: 10x as likely to kill. I think that's just how I mathed it, not an actual statistic.

Life Expectancy

Us life expectancy gap.jpg

Politics

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