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We must hire and train and equip people differently for the job of policeman. End #policeimpunity
Meanwhile, on the other side of the country, we must also hire and train and equip police differently.
More evidence that we must hire and train and equip police differently.
Follow up on one case: These individuals do not deserve to have jobs as police. They should be fired for sure and possibly prosecuted for assault too. theguardian.com/us-news/2020/j…
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Nicholas A. Christakis
@NAChristakis
Here is a brief expansion of the network science point that, subject to certain assumptions (!), the number of possible ties between people in a group rises supra-linearly with the size of the group. So transmission risk (e.g. of a virus) rises rapidly with group size. 1/
That is, bigger groups provide more and more opportunities for a virus to spread between pairs of people. 2/
A small funeral of 10 people offers the virus about 50 chances to spread between pairs of people, but a small party of 100 people (10 times the size) offers the virus about 5,000 such chances (that is, 100 times the number of chances). 3/
Read 7 tweets
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Nicholas A. Christakis
@NAChristakis
I want to go on record with obvious point: large gatherings of people facilitate spread of contagious disease. The *reason* for the gathering (whether street protests for a cause I support, or GOP convention, or a sporting event) is not material to the spread of the virus. 1/
At a *minumum,* such gatherings should involve harm reduction techniques (such as masks, no tear gas, no shouting, etc.). Also, transmission opportunities rise supra-linearly with group size. So gathering of 250,000 people >>worse than 50,000 >>>>worse than 30 people. 2/
1918 flu pandemic had famous example of mass gathering (for a parade supporting WW1) in Philadelphia. The outcome was much more death, compared to other cities. 3/
Read 29 tweets
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Nicholas A. Christakis
@NAChristakis
Today, we are happy to release a COVID19 app that is unlike any others available.

HUNALA allows you to track & FORECAST your personal risk for respiratory disease daily. It’s like traffic apps (eg Waze) for coronavirus & respiratory disease. Get it at hunala.yale.edu 1/
Users contribute information anonymously and get aggregated risk predictions, just like Waze forecasting traffic jams miles ahead on a highway. The data users contribute is statistically combined with public information about respiratory disease and COVID19. 2/
The more people who use HUNALA overall (get it here: hunala.yale.edu), and the more who use it in any particular area, the better it gets. HUNALA is released by @yale and by HumanNatureLab.net. #HNL 3/
Read 23 tweets

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