#偏差行為

Live, measured metrics for the hashtag #偏差行為 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #偏差行為

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.

$2,449.80/ year · 4-character #name
Claim #偏差行為$2,449.80/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
1
Recent posts
Mastodon
Recent pace
Mastodon · last 1
0
Avg reactions / post
Mastodon · last 1
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-08-27 02:57 UTC
0
08-21
0
08-22
0
08-23
0
08-24
0
08-25
0
08-26
0
08-27

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-08-27 02:57 UTC

No related tags with measured usage found for #偏差行為.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-08-27 02:57 UTC

Everything below is measured over the latest 1 public posts.

Posting hours (UTC)

00:0012:0023:00

Languages: Chinese (Taiwan) (1)

Avg boosts / post: 0

Top of the latest posts

  • 🌗 偏差的衰退:為何社會變得如此循規蹈矩? ➤ 一場無處不在的「平凡化」浪潮 ✤ https://www.experimental-history.com/p/the-decline-of-deviance 本文透過分析大量數據,探討社會偏差行為(從犯罪到藝術創新)在各個層面顯著下降的現象。作者認為,這並非近期趨勢,也非單一領域問題,而是文化全面趨於保守和單一化的表現。這種變化帶來了穩定與秩序,但也伴隨著創新的停滯和個性的壓抑。 + 很驚訝看到數據證實了我的感覺!社會確實好

    GripNews@GripNews002025-10-28 17:18 UTCView post →

#偏差行為 across platforms

every network with a public tag surface

Follow #偏差行為 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/偏差行為