#causalinf
Live, measured metrics for the hashtag #causalinf from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #causalinf
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:12 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 08:12 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:12 UTCEverything below is measured over the latest 9 public posts (spanning ~11725 hours).
Posting hours (UTC)
Languages: English (9)
Avg boosts / post: 3.4
Top of the latest posts
Hi Mastodon! 👋 #introduction time! I'm a public policy professor at Georgia State University where I - 🧑🏫 teach #dataviz and #causalinf with #rstats and the #tidyverse (and other courses in microeconomics, nonprofit management, and comp
Re#introduction 👋 I'm a researcher who works at the intersection of #EducationalPsychology (how humans learn) and #Psychometrics (development of statistical tools for the objective measurement of skills & knowledge). I'm particularly inter
Looking forward to spending some time with this new #biorxiv #preprint "Causal inference with observational data and unobserved confounding variables," by Jarrett Byrnes and Laura Dee. It looks like an very useful work-through of practical
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/causalinf