#colliderbias
Live, measured metrics for the hashtag #colliderbias from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #colliderbias
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 15:18 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 2026-07-29 15:18 UTCNo related tags with measured usage found for #colliderbias.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 15:18 UTCEverything below is measured over the latest 3 public posts (spanning ~1319 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 2.3
Top of the latest posts
Regardless of COVID, it seems that causal inference methods are finally entering the mainsteam. Use of #DAGs & awareness of #ColliderBias and the #Table2Fallacy are skyrocketting! Even a general medical journal (JAMA) has now produced prime
#correlation without #causation via #ColliderBias a spurious relationship between the dependent (Y) & independent (X) variable can occur, when each effect a 3rd variable (C, #collider), and this 3rd is included in the linear model lm(Y~X+C)
Wait - so, sampling designs to cope with gradients, etc (randomization, SRDs, GRITs, etc.) are basically ways for dealing with collider bias. Huh. #GraphTheory #StructuralCausalModels and #SamplingBias coming together. #ColliderBias
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/colliderbias