#死亡率

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

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2
Uses / 7 days
Mastodon
2
Accounts / 7 days
Mastodon
25
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 25
0
Avg reactions / post
Mastodon · last 25
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-08-23 11:48 UTC
2
08-17
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22
0
08-23

2 uses by 2 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 2026-08-23 11:48 UTC
#死亡率50
0 uses · 0 accounts / 7d
#死亡率遠高新型冠狀病毒
0 uses · 0 accounts / 7d
#死亡率高於打針前
0 uses · 0 accounts / 7d
#死亡率高
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-08-23 11:48 UTC

Everything below is measured over the latest 25 public posts (spanning ~31561 hours).

Posting hours (UTC) — busiest: 04:00

00:0012:0023:00

Languages: Chinese (9) · Japanese (6) · Chinese (Taiwan) (5) · English (1)

Avg boosts / post: 0.5

Top of the latest posts

  • https://www.wacoca.com/health/6852/ 地方と都市の健康格差は疾患ごとに異なる、全国408万人の死亡データ解析－東北大 – QLifePro 医療ニュース #Health #QLifePro編集部 #健康格差 #公衆衛生 #医療 #医療政策 #心血管疾患 #東北大学 #死亡率 #疫学調査 #社会経済的要因 #結核

    Health@[email protected]♥ 0↻ 02026-08-17 11:39 UTCView post →

  • https://www.wacoca.com/life/444041/ 地方と都市の健康格差は疾患ごとに異なる、全国408万人の死亡データ解析－東北大 – QLifePro 医療ニュース #health #Kenkō #QLifePro編集部 #健康 #健康格差 #公衆衛生 #医療 #医療政策 #心血管疾患 #東北大学 #死亡率 #疫学調査 #社会経済的要因 #結核

    Life Japan@[email protected]♥ 0↻ 02026-08-17 08:40 UTCView post →

  • https://www.wacoca.com/health/5831/ 急性高血圧症の死亡・緊急透析実施リスクはどちらも増加傾向と判明－東京医歯大ほか – QLifePro 医療ニュース #HypertensiveHeartDisease #QLifePro編集部 #医療 #急性高血圧症 #悪性高血圧 #東京医科歯科大学 #横浜みなと赤十字病院 #死亡率 #緊急透析 #透析 #高血圧性心疾患 #高血圧患者

    Health@[email protected]♥ 0↻ 02026-07-31 09:01 UTCView post →

#死亡率 across platforms

every network with a public tag surface

Follow #死亡率 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/死亡率