Telegram RegisterThe public register of Telegram

Channel

北北的日记🔞

@mubeibei520

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

3,056subscribers

-70 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002829450140
TypeChannel
Username@mubeibei520
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/mubeibei520

Growth

3,0563,1263,0917 August 2026 — 3,126 subscribers7 August 2026 — 3,126 subscribers8 August 2026 — 3,108 subscribers10 August 2026 — 3,097 subscribers14 August 2026 — 3,056 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net -70. 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 3,046–3,137 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 16:283,056-41
10 Aug 2026, 21:293,097-11
8 Aug 2026, 07:183,108-18
7 Aug 2026, 20:023,126no change
7 Aug 2026, 19:173,126first reading

Engagement

17 posts held, back to 13 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.5%
avg views ÷ 3,056 subscribers
Avg views / post
779
15 posts measured
Reaction rate
0.401%
reactions ÷ views · ER floor
Posts in window
15
of 17 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 8 of 15 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 7 August 2026
Posts held17 (13 July 20267 August 2026)
Views total11,678
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 20:02 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

26 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 57.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1557.7%
🤩415.4%
👍27.69%
😁27.69%
🔥13.85%
😘13.85%
🤔13.85%

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 9 of the 17 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 26reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 13 July 2026 to 7 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

7 Aug 2026, 10:42 UTC696 viewsread 7 August 2026
Forwarded from @xssq618

【出击日期】:8.5 【狼友留名】:岚影 【老师花名】:沐北北 【联系方式】: @zhuzhuya06 【开课区域】:酒店上门 【技术服务】: 9分 【人照相似】: 9分 【大概年龄】:20 【凶器罩杯】:b 【体验总结】:老师本人好看,身材很好!小翘臀细腰,腿特别漂亮,一见面就忍不住了立马带着老师去洗澡,随后擦干净上床。让老师穿上提前备好的性感的制服加黑丝吊带袜,美腿更加苗条性感,接着开始调情老师展示了舒服的口活。随着欲望的高涨,按耐不住想要提枪开始战斗,黑丝美腿更加色情性感,真的太让人把持不住了。从后面深深插入。看着老师诱惑性感的腿,我情不自禁双手抓住老师两个小白兔 用胯部猛烈撞击老师的大屁股,里面又紧又热,加上老师主动收缩,真的让人难以坚持不缴械。赶紧切换正面传教士,将两条诱人美腿扛在肩上,轻轻抽插老师。感受着老师的紧致温暖和湿润,把玩着老师的小白兔和黑丝美腿。最终在视觉和触觉的双重冲击下再也忍不住,抱着两条黑丝美

4 Aug 2026, 12:09 UTC144 views3 reactionsread 7 August 2026
Photo

还有🈳位哦~ 也可上门😉

1👍1🤩1

4 Aug 2026, 06:27 UTC754 views4 reactionsread 7 August 2026
Photo

今天不开喔 跟闺蜜去逛街啦😝

2🤔1😁1

2 Aug 2026, 15:08 UTC784 views2 reactionsread 7 August 2026
Forwarded from @hangzhoupincha6

【优势】年轻服务好 【妹子花名】:沐北北 【联系方式】:@zhuzhuya06 【妹子年龄】:20 【验证留名】: dh 【验证时间】:8.1 【大概位置】:上城区的小区 【修车水费】: 1600/p 【服务内容】: ① 舌吻 ② 69 ③ aiai 【人照相似】:人照10分 ,颜值高 【身高身材】:身高167 粉白皮身材姣好. 【凶器罩杯】:b 【环境细节】:租的公寓交通/出入方便,房间整洁 【个人卫生】:很干净 洗澡很细节 【时间管理】:开课准时,不催 【服务点评】:很好 【推荐程度】:好评✅ 【流程小文】:进门就见老师穿着粉白连衣裙 好身材显象无疑 照片身材相符,先和老师不紧不慢的聊了会天,接着老师主动领着去洗浴 老师的洗浴很小心,并不敷衍了事,用一次性毛巾擦干后给予漱口水 随后去了老师的战斗房 老师并不急于应付了事,而是顺着我的感觉行动 舌吻管够 在亲吻了5分钟后老

2

2 Aug 2026, 10:37 UTC181 views4 reactionsread 7 August 2026
Photo

今天亲自下厨 还好没翻车🤣

2🤩1😘1

Showing the 12 most recent of 17 posts we hold for @mubeibei520. 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 — 317,945 of 1,350,102entries 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 3 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.

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.

“北北的日记🔞” (@mubeibei520), 3,056 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/mubeibei520.

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.