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Miguel Hernán

@_MiguelHernan · Boston · joined 20 Aug 2015

Using health data to learn what works. Making #causalinference less casual. Director @CAUSALab | Professor @HarvardChanSPH | Methods Editor @AnnalsofIM

41 271Followers
180Following
1 094Posts total
126.6KViews on collected posts

Derniers posts

This is getting increasingly harder to understand, @RobertKennedyJr . In the America First era, when a U.S. federal agency wants to do a randomized trial, it sends $1.6 million to Denmark? I don't run trials, but so many excellent U.S. researchers do. Aren't they good enough? 9.7K views · 19 likes · 2 reposts · 1 replies Open on X →
Public health scientists are raising concerns following news of a $1.6 million award from the U.S. Centers for Disease Control and Prevention for a trial of hepatitis B vaccines in newborn babies in the West African nation of Guinea-Bissau. https://t.co/HwZvj0G9Sd 12.9K views · 9 likes · 6 reposts · 0 replies Open on X →
I have a question for @RobertKennedyJr. You want to Make America Healthy Again. Exactly which year you’d like to go back to? 2007, 1992, 1983, 1976…? It’s hard to evaluate your policies without this piece of information. (Ok if a member of your staff replies) 7.4K views · 45 likes · 9 reposts · 2 replies Open on X →
Anyone interested in science in the U.S. should read this. https://t.co/WOx1lsQw2o 5K views · 46 likes · 12 reposts · 1 replies Open on X →
All CDC datasets have been anonymously uploaded here; https://t.co/EwH68Op366 Thanks to whoever made it possible that taxpayers can access the resources that were paid for by their taxes. 6.5K views · 61 likes · 14 reposts · 1 replies Open on X →
@_MiguelHernan @CDCgov This type of censorship is the beginning of a dictatorship regimen. Wake up people!! 674 views · 2 likes · 0 reposts · 0 replies Open on X →
The CDC's page for HIV data has vanished. Who benefits from this? In what universe does this help the country? https://t.co/ulkvStjBbl https://t.co/4jLJ3JrzZE
16.3K views · 160 likes · 41 reposts · 3 replies Open on X →
@_MiguelHernan its a good book 475 views · 1 likes · 0 reposts · 0 replies Open on X →
@_MiguelHernan Thanks a lot for writing it and making it available. Any idea when the printed version will be available? I am one of those who are more likely to read something when it's a physical book... 490 views · 3 likes · 0 reposts · 0 replies Open on X →
@_MiguelHernan Thank you for sharing! This is a gift for xmas :) 542 views · 2 likes · 0 reposts · 0 replies Open on X →
Upgrade your #causalinference arsenal. A revision of our book "Causal Inference: What If" is available at https://t.co/3rrh0l8nFu Thanks to everyone who suggested improvements, reported typos, and proposed new citations and material. Enjoy the #WhatIfBook. Also, it's free. ht
66.6K views · 886 likes · 243 reposts · 14 replies Open on X →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

66.6K23 Dec
542
490
475
16.3K31 Jan
6741 Feb
6.5K2 Feb
5K9 Mar
7.4K4 Sep
12.9K19 Dec
9.7K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.74%23 Dec
0.37%
0.61%
0.21%
1.27%31 Jan
0.30%1 Feb
1.20%2 Feb
1.18%9 Mar
0.78%4 Sep
0.14%19 Dec
0.23%

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes55.0%1 234 in total
Reposts14.6%327 in total
Replies1.0%22 in total
Quotes1.1%24 in total
Bookmarks28.4%638 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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