#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
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-31 05:12 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-31 05:12 UTCNo related tags with measured usage found for #colliderbias.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-31 05:12 UTCEverything below is measured over the latest 3 public posts (spanning ~1319 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 1.7
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
#colliderbias across platforms
every network with a public tag surfaceFollow #colliderbias straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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