#Baumol
Live, measured metrics for the hashtag #Baumol from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #baumol
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 2026-09-13 03:15 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 2026-09-13 03:15 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-13 03:15 UTCEverything below is measured over the latest 4 public posts (spanning ~43889 hours).
Posting hours (UTC)
Languages: English (2) · Portuguese (1) · Chinese (Taiwan) (1)
Avg boosts / post: 0.5
Top of the latest posts
@FluentInFinance Have you encountered Baumol's Cost Disease? I've done a bit of reading about it over the years in the #healthcare sector. It also applies to most face-to-face #education, legal costs, performing arts, and even law enforceme
"Now let’s think about what’s going to happen with widespread AI adoption, if it pays off the way we all think it will. First of all, it’s going to drive a lot of productivity gains in services specifically. (There is precedent for this; e.
🌖 空調便宜，但維修昂貴：解析生產力差異下的經濟現象 ➤ 剖析AI時代下的Jevons Paradox與Baumol Effect如何形塑產業價格 ✤ https://a16z.substack.com/p/why-ac-is-cheap-but-ac-repair-is 本文探討了生產力差異如何導致經濟中出現價格分歧的現象。當某個產業因技術進步（如AI）而生產力大幅提升，商品和服務的成本驟降，消費量隨之爆炸性成長，創造了更多就業機會。這稱為Jevons Paradox。然
What “baumol” means
WikipediaWilliam Jack Baumol was an American economist. He was a professor of economics at New York University, Academic Director of the Berkley Center for Entrepreneurship and Innovation, and professor emeritus at Princeton University. He was a prolific author of more than eighty books and several hundred journal articles. He is the namesake of the Baumol effect.
“William Baumol” on Wikipedia (CC BY-SA) →#baumol across platforms
every network with a public tag surfaceFollow #baumol 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/baumol