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Channel

光明🥰宝宝

@gmbaob

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

339subscribers

+10 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004468163319
TypeChannel
Username@gmbaob
CreatedBetween 1 June 2026 and 19 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/gmbaob

Growth

3293393347 August 2026 — 329 subscribers8 August 2026 — 329 subscribers14 August 2026 — 339 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, net +10. 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 328–341 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 22:18339+10
8 Aug 2026, 07:18329no change
7 Aug 2026, 18:17329first reading

Engagement

19 posts held, back to 19 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
15.6%
avg views ÷ 339 subscribers
Avg views / post
52.8
17 posts measured
Reaction rate
2.99%
reactions ÷ views · ER floor
Posts in window
17
of 19 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 2 of 17 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 held19 (19 July 20267 August 2026)
Views total898
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 07:18 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
43s
Average length
9s

Measured directly from 5 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 2 of the 19 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 19 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

3 Aug 2026, 12:22 UTC38 viewsread 8 August 2026
Forwarded from @qingloucjbg

出击报告:https://t.me/qingloucjbg 验证留名:xuiam 上课时间:8-3 老师花名:#宝宝 位置坐标:#光明 上课花费:1500 服务内容:课表 出击体验:一直没时间!今天抽空约了ls,老师还是一如既往的热情!,进门一个大大的拥抱!结果身体是如此诚实,瞬间脸红!老师还打趣地说“这身体还蛮诚实的嘛,小帐篷都支起来了”哈哈哈,没办法!看到美女,控制不住啊!进门后交了水费坐下来畅聊了一会!老师说洗香香了!ls很爱干净,陪浴,前前后后都洗的很干净!洗完后还会帮忙擦干!很细致!然后就⬆️🛏跟着老师的节奏,享受服务,do感非常棒,口的差点把持不住!赶紧跟老师说带🌂,大腿又白又直!换后入老师的臀部软软的!还会有臀浪!真的爽翻天!话不多说!脑补,哈哈哈!没一会儿就缴械投降了,结束还有温存事后萧,真是回味无穷!休息聊天一会儿进行第二次!就不多说了!总之必吃,必反食!服务型腿控的兄弟们!可无脑冲。。。 优点缺点:人照一致

3 Aug 2026, 03:31 UTC36 viewsread 8 August 2026
Photo

离课室近的就过来课室上课喔 也可以外出上门服务

2 Aug 2026, 06:00 UTC35 viewsread 8 August 2026
Forwarded from @lkzhyd

【验证报告】: https://t.me/lkzhyd 【验证留名】:吴 【上课时间】: 8/1 【老师花名】:#宝宝 【位置坐标】:#光明 【上课费用】:800 【服务内容】:课表 【出击体验】:深圳的雨没能浇灭我想出击的心,正好刷到了宝宝,一看这不就是我喜欢的类型吗!驱车前往,见面就被惊艳到了,颜值确实没话说,虽然有灯光加成,但整体实力还是很能打的,废话少说,交水费进入正题。先是与美人共浴,进入主战场,躺在床侧,开始享受服务,口活相当可以,没有任何齿感,下面也没有异味,喜欢69的可以冲,口着口着差点没坚持住,赶紧叫停,戴上保护伞☂️,长枪直入,一开始并没有感觉很特别,后面老师一直在夹我,同时还有老师动人的呻吟声,这如何受的了,那没办

Showing the 12 most recent of 19 posts we hold for @gmbaob. 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 — 69,770 of 1,549,376entries 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

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 2 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.

Named by

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

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.

“光明🥰宝宝” (@gmbaob), 339 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/gmbaob.

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.