#LearningFromIncidents
Live, measured metrics for the hashtag #LearningFromIncidents from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #learningfromincidents
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 2026-10-01 18:21 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 2026-10-01 18:21 UTCNo related tags with measured usage found for #learningfromincidents.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-01 18:21 UTCEverything below is measured over the latest 33 public posts (spanning ~16940 hours).
Posting hours (UTC) — busiest: 16:00
Languages: English (32)
Avg boosts / post: 4.4
Top of the latest posts
Alright, let's do this #introduction business! Professionally I'm a staff reliability engineer (#SRE) at PagerDuty, where my interests lie in #LearningFromIncidents, #HumanFactors and safety. My wife Candice (@eastcoastcandice) and I live i
New #paper from Hutchinson, Dekker, Rae: How audits fail according to incident investigations: a counterfactual logic analysis https://aiche.onlinelibrary.wiley.com/doi/10.1002/prs.12579 They use the counterfactual reasoning from incident i
Today's #paper was long overdue: Lisanne Bainbridge's Ironies of Automation (https://ckrybus.com/static/papers/Bainbridge_1983_Automatica.pdf) The core thesis is that automated systems always end up being human-machine systems, and even as
#learningfromincidents across platforms
every network with a public tag surfaceFollow #learningfromincidents 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/learningfromincidents