Matthew Conlen

Matthew Conlen

@mathisonian

Followers4.3K
Following2K

Working on data & graphics @nytimes and a computer science Ph.D. @uwdata.

Seattle, WA
Joined on April 23, 2010
@mathisonian Statistics

We looked inside some of the tweets by @mathisonian and found useful information for you.

Inside 100 Tweets

Time between tweets:
14 hours
Average replies
13
Average retweets
143
Average likes
248
Tweets with photos
21 / 100
Tweets with videos
0 / 100
Tweets with links
0 / 100
Fun Fact

64% of consumers have made a purchase decision based on social content.

The research finds that "nursing homes have, on average, connections with 15 other facilities." So the average nursing home was visited by people who had collectively visited 15 others. Individuals moving between nursing homes is a significant predictor of COVID infections.

1
3
5

We've been tracking the outsized number of coronavirus deaths and cases at nursing homes: https://t.co/qUTbmBDcex Direct link to the PDF of the paper: https://t.co/9WwkmoG8XV

0
0
0

The research finds that "nursing homes have, on average, connections with 15 other facilities." So the average nursing home was visited by people who had collectively visited 15 others. Individuals moving between nursing homes is a significant predictor of COVID infections.

1
3
5

New NBER paper: "[T]he first large-scale analysis of nursing home connections via shared staff." They use geodata from 30 million smartphones, find "7% of smartphones appearing in a nursing home also appeared in at least one other facility." https://t.co/jxVQRJYBVc

1
1
3
Front page tomorrow NYT
#Dataviz to help quantify the risk of school reopening
https://t.co/vk9F61wqap
 @jamesglanz @nytgraphics interactive @mathisonian consistent super graphics https://t.co/LfclYqjyw9

Front page tomorrow NYT #Dataviz to help quantify the risk of school reopening https://t.co/vk9F61wqap @jamesglanz @nytgraphics interactive @mathisonian consistent super graphics https://t.co/LfclYqjyw9

4
83
146

Quoted @mathisonian

How many people would come to school infected with coronavirus if schools opened today? The answer depends on the size of the school and the severity of the outbreak in the surrounding community. My latest with @jamesglanz @bencareynyt @joshkellerjosh https://t.co/aZgFzHzyPd https://t.co/ASij4aDU6d

How many people would come to school infected with coronavirus if schools opened today? The answer depends on the size of the school and the severity of the outbreak in the surrounding community. 

My latest with @jamesglanz @bencareynyt @joshkellerjosh 

https://t.co/aZgFzHzyPd https://t.co/ASij4aDU6d

This is the right way to assess risk. You need to take into account not only community transmission but also school size. https://t.co/LkcRvd6amZ

As schools in the U.S. grapple with how to reopen, new estimates show that large parts of the country would likely see infected students if classrooms opened now https://t.co/EedNIFaVkr

55
297
520

The maps show the number of people (students or staff) that researchers estimate would show up infected in the first week of school, given the outbreak as it is today. Note the wide range of outcomes depending on school size. For all the details: https://t.co/aZgFzHzyPd

27
315
540

As decisions loom for parents, teachers and pols, modelers estimate the chance that a child infected with the coronavirus will show up at any school in the US. Results range from sobering to reassuring. @jamesglanz @bencareynyt @mathisonian @joshkellerjosh https://t.co/V84WOcGSPD

6
19
35
How many people would come to school infected with coronavirus if schools opened today? The answer depends on the size of the school and the severity of the outbreak in the surrounding community. 

My latest with @jamesglanz @bencareynyt @joshkellerjosh 

https://t.co/aZgFzHzyPd https://t.co/ASij4aDU6d
4

How many people would come to school infected with coronavirus if schools opened today? The answer depends on the size of the school and the severity of the outbreak in the surrounding community. My latest with @jamesglanz @bencareynyt @joshkellerjosh https://t.co/aZgFzHzyPd https://t.co/ASij4aDU6d

92
738
1K

ICYMI: How to understand #COVID19 numbers. Advice from @youyanggu: "Watch out for selection bias, which is when you gravitate towards data that matches your belief & you ignore data that goes against your belief" https://t.co/t957YcX2dE

12
286
555
In print, the issue incorporates climate statistics throughout the layout and includes a nice feature of the map https://t.co/sI4oYQxNaF

In print, the issue incorporates climate statistics throughout the layout and includes a nice feature of the map https://t.co/sI4oYQxNaF

As the planet heats and crops fail, millions of people will be forced to choose between flight or death. New research suggests that climate change will cause humans to move at an unprecedented scale. And for many, this great migration has already begun. https://t.co/jcjsvTrI3L

20
739
1K

Less than 2% of the U.S. population lives or works full-time in a nursing home or similar facility, according to the best available data¹. Yet 42% of U.S. coronavirus deaths are linked to these locations. https://t.co/qUTbmBDcex

1
6
15

One week from today, the extra $600 a week people are getting in unemployment benefits is set to expire. Unless Congress extends it (looking unlikely) it will be ... bad for people, especially people who already had less of a buffer to rely on. https://t.co/U90xw8Tfhf

2
14
26
How will climate change impact people in Mexico and Central America? @NYTmag & @propublica expanded a World Bank model, making it more sensitive to climatic change & how people would move btwn countries.

Incredible story by @AbrahmL, maps by yours truly.

https://t.co/5KFUBggv1V https://t.co/V96TMu2hbj
2

How will climate change impact people in Mexico and Central America? @NYTmag & @propublica expanded a World Bank model, making it more sensitive to climatic change & how people would move btwn countries. Incredible story by @AbrahmL, maps by yours truly. https://t.co/5KFUBggv1V https://t.co/V96TMu2hbj

By 2070 one in three people on the planet may forced to either migrate, or adapt to living in ways few people have ever lived before. Where will everyone go? My latest: https://t.co/zJOeWE4t3l

13
168
222

Estimating the case curve using the positive % from June (when testing was lower) gives an upper bound for where cases would be now. Even w the charitable assumption that positive % remained stable instead of declining, testing doesn't come close to explaining the rise in cases

0
1
2
Next Page