#decisionscience
Live, measured metrics for the hashtag #decisionscience from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #decisionscience
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 02:24 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 02:24 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 02:24 UTCEverything below is measured over the latest 40 public posts (spanning ~13611 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (40)
Avg boosts / post: 1.8
Top of the latest posts
RE: https://flipboard.com/@npr/politics-v8m4p3ukz/-/a-lyLNjQfRQJKEoDaSRVJTpw%3Aa%3A3195441-%2F0 Do U.S. voters realize the scale and cost of the 47th #POTUS's *drastic* #immigration "slow-walking"? This backlog is bigger than ALL FOUR YEARS
Filed under #AI overhype: #LLMs perform near perfectly on common reflection tests, but slightly altering the #math caused LLMs to fail, suggesting the best models (including #OpenAI's o1) are not great at reflective, mathematical reasoning.
Built an oncology launch curve forecaster. The insight? Stop asking "what will happen" and start asking "what does this assumption cost if we're wrong?" . 🔗 https://tinyurl.com/5cx9s4ye . #rstats | #shiny | #pharma | #commercialanalytics |
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/decisionscience