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Channel

蓓蓓的朋友圈

@beibei00

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

2,345subscribers

+621 since we began measuring on 29 August 2026

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

Register entry

Telegram ID-1003794952656
TypeChannel
Username@beibei00
CreatedBetween 1 February 2026 and 29 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 August 2026
Last confirmed live18 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/beibei00

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 13 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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

1,7217,8874,80429 August 2026 — 1,724 subscribers29 August 2026 — 1,721 subscribers1 September 2026 — 1,725 subscribers5 September 2026 — 7,887 subscribers10 September 2026 — 7,776 subscribers13 September 2026 — 7,448 subscribers18 September 2026 — 2,345 subscribers2,34529 August 202618 September 2026
7 measurements spanning 19 days, net +621. 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 796–8,812 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 01:372,345-5,103
13 Sept 2026, 22:217,448-328
10 Sept 2026, 11:587,776-111
5 Sept 2026, 17:407,887+6,162
1 Sept 2026, 12:231,725+4
29 Aug 2026, 16:471,721-3
29 Aug 2026, 15:451,724first reading

Engagement

20 posts held, back to 29 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.45%
avg views ÷ 2,345 subscribers
Avg views / post
81.0
1 post measured
Reaction rate
2.47%
reactions ÷ views · ER floor
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 August 2026
Posts held20 (29 July 202629 August 2026)
Views total81
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 15:45 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
1m 26s
Average length
12s

Measured directly from 7 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

22 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 72.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1672.7%
🥰418.2%
👎14.55%
😁14.55%

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 10 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 22 reactions 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 29 July 2026 to 29 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

22 Aug 2026, 09:27 UTC908 views3 reactionsread 29 August 2026

杭州狼友出击协会模板 https://t.me/+yI0wXTr_cK8wMTA1 【综合评价】:#超级好评 【验证留名】:WC 【验证时间】:8月20日 【妹子花名】:蓓蓓 【联系方式】:@beibei9931 【所在位置】:石桥 【修车水费】:兑换P 【包含服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 🈚️ 【身高身材】:165,90,很瘦,有纹身 【颜值相似】:化妆后基本一致,居家穿搭 【凶器罩杯】:A+,非常柔软,这个体重能有这种胸,很不错了 【服务总结】:服务到位,无少做,过程无机车 【个人卫生】:抽烟,有口水 浴巾,事前事后有清洗 【时间管理】:开课准时,排课是宽松,课时做完,佛系接课,每天2-3个 【推荐程度】:95分,价格合理,会二刷 【流程小文】:会长七夕活动,看到有老师兑换,看了一圈频道,果断拿下。本来和老师约的七夕,无奈老师生病了,

3

17 Aug 2026, 12:57 UTC≈1,230 views2 reactionsread 29 August 2026
Forwarded from @hzjjh_report

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-17 【老师花名】:蓓蓓 【出击留名】:西门大官人 【开课位置】:新天地附近小区 【修车水费】:竞拍p 【人照评分】:9 【颜值评分】:9 【身材评分】:9 【服务评分】:9 【态度评分】:10 【环境评分】:9 【综合评分】:9.17 【过程描述】: #环境卫生: 停车方便,小区无门禁,无梯控,有准备一次性浴巾,漱口水,还加了小零食 #老师优缺点: 开课准时,最近蓓蓓每天只接两三个课余时间相当宽松,无催课,时间充足 #硬件软件: 人照相似9分,基本无差,而且是冷白皮,b杯八字奶,右臂纹身,小腹 微纹身,165左右,88斤 #流程细节: 也是竞拍全力以赴拿下了蓓蓓,蓓蓓刚好姨妈,一直等她开课了,约好了时间,蓓蓓依旧漂亮,用标志性的烟嗓向我打招呼,看到了屋子里还新加了点小零食,越来越周到了,一起洗澡

2

8 Aug 2026, 20:16 UTC≈2,110 views2 reactionsread 29 August 2026

里面超多高颜值小姐姐 https://t.me/mzhn1314

1😁1

6 Aug 2026, 09:35 UTC≈2,210 views7 reactionsread 29 August 2026
Photo

Photo, posted without a caption

🥰42👎1

5 Aug 2026, 11:16 UTC≈2,330 views3 reactionsread 29 August 2026

杭州狼友出击协会模板 https://t.me/+yI0wXTr_cK8wMTA1 【综合评价】:#超级好评 【验证留名】:yj 【验证时间】:8月4日 【妹子花名】:#蓓蓓 【联系方式】:@beibei9931 【所在位置】:汽轮广场 【修车水费】:工兵500p 【包含服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【身高身材】:身高163左右,腿又长又白又细,纹身主要就手臂区域,皮肤手感光滑软嫩 【颜值相似】:人照相似程度9成9,正常美颜,妆后完全一致,颜值在线,完全嫩妹气质,清纯带欲 【凶器罩杯】:胸型大小b+,乳头颜色粉,小,减肥下来的,整体手感软糯,一般坚挺 【服务总结】:服务到位,无少做,无机车,很棒很配合 【个人卫生】:抽烟,烟味不重。有漱口水 浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【推荐程度】:9.9

3

Showing the 12 most recent of 20 posts we hold for @beibei00. 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

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 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.

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

“蓓蓓的朋友圈” (@beibei00), 2,345 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/beibei00.

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.