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travis gerke
@travisgerke.bsky.social
data person, useless content
229 followers278 following58 posts
TGtravisgerke.bsky.social

Thatā€™s not what we wanted that chapter to do to readers šŸ¤£šŸ˜­

2
TGtravisgerke.bsky.social

šŸ¤© very curious what this task is!

1
TGtravisgerke.bsky.social

i was thinking i might check them on steroids, but i'll try anything once

1
TGtravisgerke.bsky.social

this legal now?

twitter telling me to check out my notifications "on X"
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TGtravisgerke.bsky.social

Happy Halloween from Ghost Malone yā€™all

0
Reposted by travis gerke
GAgrrrck.xyz

Iā€™m a little bummed I canā€™t delete this app by tapping the X

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TGtravisgerke.bsky.social

Posting here is tweeting. Fight me

1
Reposted by travis gerke
MBmalcolmbarrett.malco.io

We just overhauled the first chapter of our book, Causal Inference in R! Learn about causal questions, their structure, and the relationship between description, prediction, and causal inference. www.r-causal.org/chapters/cha...@lucystats.bsky.social@travisgerke.bsky.social #rstats

A screenshot of the first chapter of Causal Inference in R: What is a causal question?
A sentence diagram of a causal question showing it's essential components: exposure, outcome, eligibility criteria, time-zero, target population, and follow-up period
A visualisation of a descriptive question: what were the number of deaths in 2020 vs the expected deaths based on historical data (by country)? The figure shows the shocking toll of the early pandemic, with actual 2020 deaths far above expected deaths. This is a useful graph for understanding risk without making causal claims
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TGtravisgerke.bsky.social

Skeetorials. Itā€™s inevitable

0
TGtravisgerke.bsky.social

I think Elon is one of the Duggars

0
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TG
travis gerke
@travisgerke.bsky.social
data person, useless content
229 followers278 following58 posts