Telegram RegisterThe public register of Telegram

Channel

咪咪

@tanbaomimi1

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

2,570subscribers

+5 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002876547839
TypeChannel
Username@tanbaomimi1
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/tanbaomimi1

Growth

2,5652,5702,567.58 August 2026 — 2,565 subscribers8 August 2026 — 2,565 subscribers11 August 2026 — 2,566 subscribers14 August 2026 — 2,570 subscribers8 August 202614 August 2026
4 measurements spanning 6 days, net +5. 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 2,564–2,571 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 17:172,570+4
11 Aug 2026, 08:262,566+1
8 Aug 2026, 17:422,565no change
8 Aug 2026, 08:012,565first reading

Engagement

20 posts held, back to 11 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
58.2%
avg views ÷ 2,570 subscribers
Avg views / post
1,500
7 posts measured
Reaction rate
0.062%
reactions ÷ views · ER floor
Posts in window
7
of 20 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 6 of 7 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 2 August 2026
Posts held20 (11 April 20262 August 2026)
Views total10,472
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 08:01 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 11 posts, in 2 distinct kinds. The most used accounts for 96.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3196.9%
🥰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 16 of the 20 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 32reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 11 April 2026 to 2 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

2 Aug 2026, 04:21 UTC842 views1 reactionsread 8 August 2026

杭州925半套报告: https://telegram.me/hz925b 评分:(满分💯)90 老师名字:#咪咪 @mimi4945 老师类型:嫩妹 出击留名:fanfanfan 上课费用:600(优惠半价) 开课地区:上城东站 态度评价:态度一如既往的好 服务评价:已经不记得是第几刷了,大概有7分熟了吧 流程小文: 竞拍中了咪咪的优惠,于是约了第二天的时间,不记得刷了几回了,冲就对了,约好时间到,赶紧进门,外面太热了!已经很熟了,就没啥太客套的东西,先去洗澡了,洗完就房间一躺,开始边聊天边服务,服务内容还是一如既往的好,中间还聊到闺蜜小土豆,可不能让小土豆把咪咪给带坏了!b面一套,再到a面来,a面比较好发挥,第一次也是在臀推中出了。中奖瞎聊了一会,还反向上了半个钟,也挺好玩的!后面第二次就是正常飞机出了!最后洗完后沙发上坐了会聊天,本来还想多坐会,后面还有课,只能起身告别撤了! 复刷不记得几次的含金量,也不多说了,值得

1

23 Jul 2026, 06:06 UTC≈1,880 views1 reactionsread 8 August 2026
Forwarded from @alexreportchannel

Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#咪咪 【上课费用】:工兵 【上课区域】:#上城 【出击评价】:#接近超级好评 【出击狼友】:恋爱高手 【老师特点】: #真胸大D #服务好 #态度好 【老师车牌】: @mimi4945 #硬件配置 身高162左右,纯天然D奶,很好看,人照一致,有点偏BBW #服务内容 【舔胸】,【指划】,【毒龙】,【按摩】,【胸推】 【打飞机】 #情绪价值 有亲和力,,有女友感,洗完之后会帮忙擦干背面 #态度意识 主动服务,态度很好有耐心 #日感反馈 92无日感 #精选黄文 碰巧刷到A哥新上工兵,马上报名顺利拿下,92无脑入,躺下享受就行哈哈哈。进门发现老师人照一致,简单寒暄后,脱衣沐浴,洗完之后老师会帮擦背面,随后去房间躺下开始B面。服务做的很认真,课表内容没有少,有的都有,特别是那一对D+大白兔,推在身上妙不可言。随后正面抚

1

22 Jul 2026, 08:45 UTC≈1,680 views0 reactionsread 8 August 2026
Forwarded from @alexreportchannel

Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#咪咪 【上课费用】:工兵92 【上课区域】:#上城 【出击评价】:# 超级好评 【出击狼友】:全军出🐔 【老师特点】: #胸大 #服务好,有手法 #情绪到位 【老师车牌】: @mimi4945 #硬件配置 人照和照片相差一致,🐻大,年龄看上去也不大,不是lcp #服务内容 【舔胸】,【指划】,【毒龙】,【按摩】,【胸推】 #情绪价值 ls很细心,洗完澡帮你擦水,手法也是一流 #态度意识 面带微笑服务,洗浴后帮擦 #日感反馈 92服务 #精选黄文 进门ls人照和照片一致,长的很漂亮,洗完澡也有帮忙擦干净,还贴心的准备两双拖鞋,床上也是一次性用品,干净又卫生。躺下后ls开始背面服务,手指在背后来来回回,时不时还会摸两下老二,搞得我身体痒痒的很舒服。其次小嘴含水来来回回,做的很仔细。两个大奶背上来来回回,又大又软,胸大福利,喜

17 Jul 2026, 03:50 UTC≈1,970 views3 reactionsread 8 August 2026

杭州出击通告の报告模板 @CJTG6 【老师艺名】:咪咪 【联系方式】:@tanbaomimi123 【大概位置】:东站附近 【验证时间】:2026-07-16 【验证留名】:有安博 【推荐指数】:★8.75 【人照相似】:老师本人和照片类似,就略微胖了点 【颜值评价】:老师看上去很嫩,就是那种丰满的学生感 【皮肤身材】:老师皮肤很白,很滑嫩 【老师罩杯】:D 【时间管理】:时间管理相对宽松 【情绪价值】:8.6 【课室环境】:上课教室在东站附近的新的回迁小区,房子里弄得很干净 【个人卫生】:老师挺注意个人卫生的 【紧度湿度】:下面没有体验,因为是92 【服务点评】:老师服务还是很认真的 【过程描述】:竞拍拿下,拖延了几天后,果断约好时间cj,课室位置在回迁房,ls安全意识还是很不错的,门口有自己安装的监控,可以实时看外面是否安全。 见面先洗澡,全程不用自己动手,洗完澡后还专门给擦脚,服务很细致了。B面起手,能感

3

Showing the 12 most recent of 20 posts we hold for @tanbaomimi1. 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.

Citation-graph rank

Citation-graph rank — 1,277,218 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“咪咪” (@tanbaomimi1), 2,570 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tanbaomimi1.

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.