#ImplicitBiases
Live, measured metrics for the hashtag #ImplicitBiases from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #implicitbiases
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 13:51 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 13:51 UTCNo related tags with measured usage found for #implicitbiases.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 13:51 UTCEverything below is measured over the latest 2 public posts (spanning ~5633 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0.5
Used together with
Top of the latest posts
If you'd like to understand what "#implicitbiases" are and why they are so hard to combat to improve inclusion in design & in the workplace (e.g. recruitment), join my online #masterclass on July 11 that explains it all! More info & registr
Some other projects of note: Equitable Letters in #SpacePhysics (ELSP) https://equitableletterssp.github.io/ELSP/ Bias is everywhere and everyone has #Bias (Find your #ImplicitBiases at https://implicit.harvard.edu/implicit/takeatouchtest.h
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/implicitbiases