Channel
@teahubnews
On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry
5,328subscribers
+108 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001172114517 |
|---|---|
| Type | Channel |
| Username | @teahubnews |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/teahubnews |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 18:22 | 5,328 | +50 |
| 11 Aug 2026, 22:52 | 5,278 | +46 |
| 8 Aug 2026, 13:41 | 5,232 | +12 |
| 7 Aug 2026, 18:16 | 5,220 | no change |
| 7 Aug 2026, 18:09 | 5,220 | first reading |
84 posts held, back to 7 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 84 (7 August 2026 – 12 August 2026) |
| Views total | 4,362 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:31 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
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🍔 美国快餐业财报显示单纯低价促销失灵，品质与创新成胜负手 第二季度美国快餐连锁财报表明，仅靠降价和促销已难持续吸引精打细算的消费者，表现优异的企业普遍将优惠与菜单创新、品质提升及优质体验相结合。行业品牌业绩分化显著： - Taco Bell：推出 5、7、9 美元套餐盒并辅以新品，同店销售额增长 7%。 - McDonald's：提供 3 美元以下菜单与 4 美元早餐，全球可比销售额仅微增 1.3%；CEO Chris Kempczinski 表示客流缺口约三分之二源于执行问题而非战略。 - Wendy's：凭借 5 美元起 Biggie Bag 套餐未能抵消压力，美国同店销售额下滑 7%，并撤回年度预测。 - Wingstop：开展 1 美元鸡翅等促销，美国同店销售额仍降 7.5%，CEO Michael Skipworth 称城市地区销售低迷，富裕市场访问量则最高攀升 9%，股价在六个月内跌超四分之三。 - Burge…
🗳️ 交通部长肖恩·达菲26岁的女婿迈克尔·阿方索赢得了威斯康星州共和党众议院初选。 (@The New York Times)
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Showing the 12 most recent of 84 posts we hold for @teahubnews. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@teahubnews named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 15 August 2026 — this entry's latest reading, not the date you are reading this.
“茶馆” (@teahubnews), 5,328 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/teahubnews.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.