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Channel

滨江天花板大莞式Fw💥米雪

@mx11122

On this record: Observations · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

3,703subscribers

+227 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003867162963
TypeChannel
Username@mx11122
CreatedBetween 1 February 2026 and 30 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live3 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/mx11122

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

3,260 average views per post against 3,703 subscribers — an engagement rate of 88.0%. Across the 1,909 registered channels in the same cohort — 3,192–9,997 subscribers, posting mainly in Chinese — the middle half sit between 1.97% and 12.8%, with a median of 5.46%.

What this was computed from
Window30 days (4 August 2026 3 September 2026)
Posts measured13 of 16 published in the window (0 exact, 13 rounded by Telegram)
Views totalled42,360
Mature posts only88.0% over 13 posts read at least 24h after publication
Subscribers3,703 measured 3 September 2026
Cohortb3162:zho · 1,909 channels · p10 0.549% · p25 1.97% · p50 5.46% · p75 12.8% · p90 24.9%
Position in cohort99.738th percentile · 16.1× the cohort median
Uncertainty±0.082% of the figure, from Telegram’s rounding
Post languageChinese · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 3 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

3,23510,4036,8198 August 2026 — 3,476 subscribers9 August 2026 — 3,489 subscribers12 August 2026 — 3,235 subscribers16 August 2026 — 8,560 subscribers19 August 2026 — 10,403 subscribers20 August 2026 — 9,387 subscribers24 August 2026 — 4,216 subscribers27 August 2026 — 4,208 subscribers30 August 2026 — 3,834 subscribers3 September 2026 — 3,703 subscribers3,7038 August 20263 September 2026
10 measurements spanning 26 days, net +227. 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 2,160–11,478 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Sept 2026, 04:183,703-131
30 Aug 2026, 13:533,834-374
27 Aug 2026, 03:024,208-8
24 Aug 2026, 11:074,216-5,171
20 Aug 2026, 08:449,387-1,016
19 Aug 2026, 07:1310,403+1,843
16 Aug 2026, 03:348,560+5,325
12 Aug 2026, 11:433,235-254
9 Aug 2026, 00:553,489+13
8 Aug 2026, 08:023,476first reading

Engagement

32 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
88.0%
avg views ÷ 3,703 subscribers
Avg views / post
3,260
13 posts measured
Reaction rate
0.053%
reactions ÷ views · ER floor
Posts in window
16
of 32 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 7 of 13 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 19 August 2026
Posts held32 (17 July 202619 August 2026)
Views total42,360
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Aug 2026, 05:23 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.

Reaction mix

32 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 90.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2990.6%
😁26.25%
👍13.13%

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 19 of the 32 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 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 17 July 2026 to 19 August 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

19 Aug 2026, 21:44 UTC≈2,340 views2 reactionsread 24 August 2026
Video

弟弟们姐姐要休息一个星期,姐姐为你们准备了打手枪精品,想姐姐了就来过过瘾哈🤪🤪🤪 https://t.me/Mixuedachidubot?start=getFile_tvutIuqOgf5H3D

2

19 Aug 2026, 14:40 UTC≈1,030 viewsread 24 August 2026
Photo

好评度百分百的正宗桑拿大莞式服务,我之前是在桑拿专门教技师服务的师傅💕保证让您体验的是不一般的Fw💕我用的是自己真实像片,人相一致 (我没有代聊,服务和口碑好,很多都是提前约好,忙时会回消息有点慢,忙完回您。) 湘妹米雪,27岁,身高165cm,体重53公斤:天然真胸E,美波,蜜桃臀一线天,皮肤白嫩,无疤痕无纹身,性感妩媚御姐型,前凸后翘! 我活特 别好,超会玩,放的开,女友感的榨汁机,保证让你觉的是物超所值,体验感很顶哦,只为哥哥你能为我再次回头💋 💕新增特色东莞服务: 水床:日式水床就是和日本AV片一样滑溜溜的动作,加上东莞水床动作:胸推,臀推,阴推,毛扫,指滑,鼻吸,乳胶,毒龙,小野猫,猛虎下山,猴子偷桃,水中望月等等… 帝王式洗浴:莞式洗浴椅,有胸推,臀推,毛扫,独笼,水中箫等等… 吊椅红绳:可解锁多种爱爱和口的动作,倒立口,转圈口等多种姿式 性爱摇摇椅:摇,摆,转圈,等等….

18 Aug 2026, 19:40 UTC≈1,300 viewsread 24 August 2026
Forwarded from @mixue7750Photo

老公们情人节快乐,中奖的宝宝们,我红包已发喽!感谢各位宝贝们的参与🥳🥳🥳

18 Aug 2026, 16:00 UTC≈1,330 viewsread 24 August 2026
Photo

💐💐💐开奖了💐💐💐 服务系天花板~米雪夏日福利来袭 开奖了! 本期总参与人数: 7535 1- 假装的洒脱 获得:口令红包 100 2- 意中人 获得:口令红包 100 3- 梦中身 获得:口令红包 100 4- 一纸定情 获得:口令红包 100 5- 有点坏坏 获得:口令红包 100 谨祝中奖用户大吉大利万事顺意

16 Aug 2026, 17:46 UTC≈3,600 views1 reactionsread 24 August 2026
Photo

老公们只是不是你们喜欢的动作https://t.me/Mixuedachidubot?start=getFile_0IhwKAccsR2N6A

1

14 Aug 2026, 15:46 UTC≈4,520 views3 reactionsread 24 August 2026
Photo

老公们,喜欢我这款肥臀吗? https://t.me/Mixuedachidubot?start=getFile_ZP68d2yh3ycqZZ

3

12 Aug 2026, 20:29 UTC≈5,360 views5 reactionsread 24 August 2026
Photo

你的女朋友,大屁股榨汁机来喽 https://t.me/Mixuedachidubot?start=getFile_ZP68d2yh3ycqZZ

5

12 Aug 2026, 10:40 UTC≈2,860 views0 reactionsread 24 August 2026

大尺度 @aa56665666 我频道https://t.me/mx11122 私信 : @mmxx1314520 双向机器人 @Mixuezhushoubot 米雪的聊天群 https://t.me/+bYb1o48wjnQ1NmRl 米雪新加了与你账号哟Mx520520

11 Aug 2026, 18:26 UTC≈4,970 views2 reactionsread 24 August 2026
Photo

老公们,喜欢不🤪🤪🤪 https://t.me/Mixuedachidubot?start=getFile_ZSI9r5XGOwXPEX

1😁1

Showing the 12 most recent of 32 posts we hold for @mx11122. 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.

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 5 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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“滨江天花板大莞式Fw💥米雪” (@mx11122), 3,703 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/mx11122.

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.