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Channel

上海奶茶妹榜单

@sumingbangdan

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

123,343subscribers

+68,478 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002752524471
TypeChannel
Username@sumingbangdan
Description生活偶尔苦 奶茶永远甜 上榜 投诉 建议 @Naichacbot 交流群 https://t.me/suming00 备用群 https://t.me/+bb_QCov1GZFkNTVh 老师榜 https://t.me/sumingbangdan 报告 https://t.me/+8qkpu6AQ6sphZjU1 广告群 https://t.me/+VZrekuT90f5mN2Zl
CreatedBetween 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/sumingbangdan

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 72% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

54,865123,34389,1046 August 202611 November 2026
65 measurements spanning 97 days, net +68,478. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 44,593–133,615 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 13:46123,343+1,301
9 Nov 2026, 21:21122,042+143
8 Nov 2026, 14:19121,899-238
7 Nov 2026, 10:38122,137+215
6 Nov 2026, 08:46121,922+430
5 Nov 2026, 08:54121,492+614
4 Nov 2026, 06:37120,878+64
3 Nov 2026, 02:58120,814+344
2 Nov 2026, 05:58120,470+187
1 Nov 2026, 09:10120,283+188
31 Oct 2026, 08:21120,095+281
30 Oct 2026, 06:34119,814-63
29 Oct 2026, 05:08119,877+606
27 Oct 2026, 23:36119,271+711
26 Oct 2026, 23:04118,560+761
26 Oct 2026, 00:28117,799+613
24 Oct 2026, 21:18117,186+556
23 Oct 2026, 19:08116,630+1,286
22 Oct 2026, 17:50115,344+890
21 Oct 2026, 09:46114,454first reading

Engagement

292 posts held, back to 6 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 214 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.756%
avg views ÷ 123,343 subscribers
Avg views / post
933
75 posts measured
Reaction rate
0.089%
reactions ÷ views · ER floor
Posts in window
75
of 292 held

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. It is computed over the 34 of 75 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held292 (6 August 2026 – 12 November 2026)
Views total69,940
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 07:26 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.

What this channel posts

Photos
715
Videos
194
Links
131

Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
28m 22s
Average length
9s

Measured directly from 196 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

249 reactions across 147 posts, in 29 distinct kinds. The most used accounts for 60.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤15060.2%
👍124.82%
😘72.81%
👏62.41%
🦄62.41%
🍓52.01%
🍾52.01%
🐳52.01%
🤝52.01%
❤‍🔥41.61%
🕊41.61%
😁41.61%
🤗41.61%
🤩41.61%
⚡31.20%
🍌31.20%
🎅31.20%
💋31.20%
🎄20.803%
🎉20.803%
9 further kinds124.82%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 178 of the 292 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 249 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 292 most recent posts we hold, published 6 August 2026 to 12 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 75 posts held from the last 30 days (2.67%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 15:37 UTC616 views0 reactionsread 13 November 2026
Photo

茶名: #冰冰 #嘉定区 👉 提交报告 联系: @baobaode7 ✅ 上榜管理 茶费: #900p #1500pp 多加积分项目:约老师报*奶茶妹群推荐 频道: https://t.me/baobaodediaojia09 ✅ 公开榜单 🥤福利群 🖥茶妹报告 ……………………………………………………… 茶妹福利(必须出报告) 500p 800pp 剩余1名 共3名 奶茶妹群里发送“工兵”获取模板,填写好并附300积分以上截图(没积分截图不回复)找 @Naichacbot 报名 ‼️简介处挂本群邀请链接报名积分减半,群里发邀请获取 …

11 Nov 2026, 14:37 UTC≈1,110 views0 reactionsread 13 November 2026
Photo

茶名: #璐瑶 #闵行区 👉 提交报告 联系: @luyao895 ✅ 上榜管理 茶费: #900p #1700pp 多加积分项目:约老师报*奶茶妹群推荐 频道: https://t.me/luyao96846 ✅ 公开榜单 🥤福利群 🖥茶妹报告 ………………………………………………………

11 Nov 2026, 13:17 UTC≈1,010 views2 reactionsread 13 November 2026
Photo

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🐳1👌1

11 Nov 2026, 13:11 UTC972 views3 reactionsread 13 November 2026
Photo

茶名: #大美 #松江区 👉 提交报告 联系: @shdamei11 ✅ 上榜管理 茶费: #800p #1300pp 多加积分项目:约老师报*奶茶妹群推荐 频道: https://t.me/hahaha11111 ✅ 公开榜单 🥤福利群 🖥茶妹报告 ……………………………………………………… 茶妹福利(必须出报告) 400p 700pp 剩余2名 共3名 奶茶妹群里发送“工兵”获取模板,填写好并附300积分以上截图(没积分截图不回复)找 @Naichacbot 报名 ‼️简介处挂本群邀请链接报名积分减半,群里发邀请获取 …

🦄2🎄1

11 Nov 2026, 12:12 UTC627 views2 reactionsread 12 November 2026
Photo

茶名: #玲子 #松江区 👉 提交报告 联系: @shlingzi1 ✅ 上榜管理 茶费: #900p #1400pp 多加积分项目:约老师报*奶茶妹群推荐 频道: https://t.me/newgg5 ✅ 公开榜单 🥤福利群 🖥茶妹报告 ………………………………………………………

❤1😘1

11 Nov 2026, 06:12 UTC1 viewsread 11 November 2026
Photo

茶名: #小美 #普陀区 👉 提交报告 联系: @xiaomeiqt118 ✅ 上榜管理 茶费: #600p #1100pp 多加积分项目:约老师报*奶茶妹群推荐 频道: https://t.me/xiaomeiqt116 ✅ 公开榜单 🥤福利群 🖥茶妹报告 ………………………………………………………

11 Nov 2026, 04:30 UTC201 views1 reactionsread 11 November 2026
Photo

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❤‍🔥1

10 Nov 2026, 17:02 UTC1 viewsread 10 November 2026
Photo

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10 Nov 2026, 08:46 UTC763 views0 reactionsread 11 November 2026
Photo

茶名:#安羽 #闵行区 👉 提交报告 联系: @anyumm07 ✅ 上榜管理 茶费:#1000p #2000pp 多加积分项目:约老师报*奶茶妹群推荐 频道: https://t.me/anyummkb ✅ 公开榜单 🥤福利群 🖥茶妹报告 ……………………………………………………… 报告01

9 Nov 2026, 07:27 UTC≈1,200 views0 reactionsread 11 November 2026
Photo

茶名:#王皮皮 #闵行区 👉 提交报告 联系: @wanpipi05 ✅ 上榜管理 茶费:#1000p #1800pp 多加积分项目:约老师报*奶茶妹群推荐 频道: https://t.me/wanpipishmh05 ✅ 公开榜单 🥤福利群 🖥茶妹报告 ………………………………………………………

7 Nov 2026, 15:51 UTC≈1,470 views1 reactionsread 10 November 2026
Photo

茶名: #惜惜 #徐汇区 👉 提交报告 联系: @xi2480 ✅ 上榜管理 茶费: #1300p #2000pp 多加积分项目:约老师报*奶茶妹群推荐 频道: https://t.me/xi2481 ✅ 公开榜单 🥤福利群 🖥茶妹报告 ………………………………………………………

👍1

7 Nov 2026, 12:45 UTC≈1,290 views2 reactionsread 10 November 2026
Photo

茶名:#北亿 #闵行区 👉 提交报告 联系: @beiyikkcc ✅ 上榜管理 茶费:#1000p #1700pp 多加积分项目:约老师报*奶茶妹群推荐 频道: https://t.me/beiyipp ✅ 公开榜单 🥤福利群 🖥茶妹报告 ………………………………………………………

❤2

Showing the 12 most recent of 292 posts we hold for @sumingbangdan. 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.

Posts edited after publishing

@sumingbangdan edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
1 September 2026
Most recent edit
31 October 2026

Posts recorded as deleted after publishing

We recorded 11 posts on @sumingbangdan as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
10 August 2026
Most recent seen missing
12 November 2026
Median time before seen missing
16 hours
Seen missing in the last 30 days
3

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 10 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

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.

Cite this entry

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“上海奶茶妹榜单” (@sumingbangdan), 123,343 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/sumingbangdan.

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.