Telegram RegisterThe public register of Telegram
Telegram profile photo for 媚黑婊 慕洋犬

Channel

媚黑婊 慕洋犬

@meiheibaobao

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,913subscribers

+2,603 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-1002633624244
TypeChannel
Username@meiheibaobao
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live4 October 2026
Measurements held11
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/meiheibaobao

Topic

Adult — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 why it has no browse page of its own yet.

Growth

3102,9131,611.57 August 2026 — 310 subscribers8 August 2026 — 313 subscribers16 August 2026 — 369 subscribers22 August 2026 — 387 subscribers30 August 2026 — 672 subscribers7 September 2026 — 672 subscribers9 September 2026 — 1,129 subscribers13 September 2026 — 1,392 subscribers16 September 2026 — 1,767 subscribers25 September 2026 — 2,318 subscribers4 October 2026 — 2,913 subscribers7 August 20264 October 2026
11 measurements spanning 58 days, net +2,603. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Oct 2026, 23:402,913+595
25 Sept 2026, 12:572,318+551
16 Sept 2026, 17:391,767+375
13 Sept 2026, 03:021,392+263
9 Sept 2026, 06:011,129+457
7 Sept 2026, 10:22672no change
30 Aug 2026, 18:38672+285
22 Aug 2026, 19:35387+18
16 Aug 2026, 06:35369+56
8 Aug 2026, 13:34313+3
7 Aug 2026, 13:33310first reading

Engagement

6 posts held, back to 6 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.83%
avg views ÷ 2,913 subscribers
Avg views / post
170
6 posts measured
Reaction rate
0.226%
reactions ÷ views · ER floor
Posts in window
6
of 6 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 1 of 6 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 September 2026
Posts held6 (6 September 2026 – 7 September 2026)
Views total1,019
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 10:22 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

Video runtime
2h 55m
Average length
29m 19s

Measured directly from 6 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 of the 6 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 6 September 2026 to 7 September 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 Sept 2026, 09:51 UTC3 viewsread 7 September 2026
Photo

PIH-006【黑鬼暴行录】被來寄宿家庭的黑人固定著小小的身體,一個勁地被打到敏感部位的子宮深處的少女。 工藤拉拉 小萝莉被黑鬼暴操👍

7 Sept 2026, 09:18 UTC13 viewsread 7 September 2026
Photo

女留学生在国外被黑屌无套爆操 被操松了回国

7 Sept 2026, 04:52 UTC87 viewsread 7 September 2026
Photo

ai成人短剧 我的妈妈是同学的女友 爸爸经常出差 漂亮的妈妈是高中班主任 被我的校霸同学设计英雄救美 一步步沦为校霸的母狗 https://t.me/airl1855/81?single

6 Sept 2026, 06:49 UTC442 views1 reactionsread 7 September 2026
Photo

BDA-131黒人暴行录 黑鬼巨大肉棒破壞女警察的小嫩穴 中條花音 女搜查官被黑屌干成肉便器的剧情,20min把尿式插穴被黑屌干得吐舌翻白眼,很骚,43min的口交很爽,倒数第二段红裙黑丝不错可惜干的时候全脱了,最后肉丝连裤袜只有口交,如果有足交和插入就太社保了🥵

❤1

6 Sept 2026, 04:12 UTC461 viewsread 7 September 2026
Photo

18岁亚洲啦啦队小骚货被两根黑祖宗巨屌3P轮操 双洞齐开被灌精 148.7MB

Showing the 6 most recent of 6 posts we hold for @meiheibaobao. 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.

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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“媚黑婊 慕洋犬” (@meiheibaobao), 2,913 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/meiheibaobao.

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.