Telegram RegisterThe public register of Telegram

Channel

贝贝的小窝(旺仔仙贝)💋💋💋

@gsbeibei1767

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

4,357subscribers

+49 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001915456180
TypeChannel
Username@gsbeibei1767
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/gsbeibei1767

Growth

4,3084,3574,332.58 August 2026 — 4,308 subscribers8 August 2026 — 4,310 subscribers11 August 2026 — 4,334 subscribers15 August 2026 — 4,357 subscribers8 August 202615 August 2026
4 measurements spanning 7 days, net +49. 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 4,301–4,364 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 15:444,357+23
11 Aug 2026, 17:224,334+24
8 Aug 2026, 19:214,310+2
8 Aug 2026, 08:024,308first reading

Engagement

20 posts held, back to 27 May 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
27.3%
avg views ÷ 4,357 subscribers
Avg views / post
1,190
11 posts measured
Reaction rate
0.091%
reactions ÷ views · ER floor
Posts in window
11
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 11 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 held20 (27 May 20267 August 2026)
Views total13,090
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 08:02 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.

What this channel posts

Video runtime
7s
Average length
7s

Measured directly from 1 video 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

13 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 92.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1292.3%
🤩17.69%

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 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 13reactions 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 27 May 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, 05:52 UTC301 views1 reactionsread 8 August 2026

Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#贝贝 【上课费用】: 700 【上课区域】:#拱墅 【出击评价】:#好评 【出击狼友】:卡比兽 【老师特点】:服务好 # # # 【老师车牌】: @gsbeibei #硬件配置 身高163.体重100左右,年龄30,颜值中上,人照差不多,身材,胸型算比较大的,手感软硬是真的。腰部赘肉有一点,小穴户型大阴唇 #服务内容 (【陪浴】,【舔胸】,【指划】,【毒龙】,【按摩】,【胸推】,【水中萧】,【事后萧】,【口交】,【69】,【舌吻】 #情绪价值 很有耐心,情绪价值拉满 #态度意识 态度很好 #日感反馈 水多,比较骚 #精选黄文 #建议 点击关注Alex的出击全家桶: https://t.me/addlist/TEIkBtSWt4hlNWE0

1

7 Aug 2026, 02:15 UTC354 viewsread 8 August 2026
Photo

🎟️ 抽奖标题:贝贝小姐姐 @gsbeibei 半价福利助力无内鬼新群 📪抽奖说明:中奖者机器人会发送中奖信息 贝贝小姐姐 @gsbeibei 半价福利助力无内鬼新群 🎫 参与条件: 🎫 加入-杭州无内鬼ultral 2.0畅聊群 🎫 加入-杭州无内鬼4.0 🎫 加入-杭州无内鬼精选榜单🆕 🎫 加入-杭州无内鬼大榜单 【正式版】 每日好妹上新🆕 🎫 加入-贝贝的小窝(旺仔仙贝)💋💋💋 🎁 奖品内容: 💰️ 贝贝小姐姐 @gsbeibei 一次半价优惠券 × 1 📅 开奖时间:2026-08-14 00:00自动开奖 👉 参与抽奖链接: https://t.me/Lovechoujiangbot?start=join-L178606878091 注意 所有抽奖默认七天内不兑换为自动放弃兑奖!(老师姨妈或老师休息实际不计入七天内) (或有特别标注的时间内不兑奖也作为自动放弃) 无内鬼抽奖福利集锦不定时更新海量福利 htt

6 Aug 2026, 04:35 UTC409 viewsread 8 August 2026
Photo

宝宝们在的哟,没说休息就是每天都在😘

19 Jul 2026, 06:18 UTC≈1,860 views1 reactionsread 8 August 2026

杭州御女阁出击报告模板: https://t.me/hangzhou_777 评分标准:9分-优秀 【老师艺名】:贝贝 【联系方式】:@gsbeibei 【老师芳邻】:28左右 【验证留名】:阿宴 【出击时间】:7月18日 【大概位置】:拱墅区 【出击水费】:工兵 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 ✅ 【人照相似】:8 【身高身材】:165 【凶器罩杯】:很大很软 【湿度紧度】:水多会夹 【环境细节】:小区环境还可以 【个人卫生】:房间干净整洁 【时间管理】:开课准时,安排合理 【服务总结】:很值得,服务好,态度好,不催钟,情绪价值拉满 【推荐程度】:喜欢服务的可以冲 【流程小文】:第二次来找贝贝老师了,老师遥控上楼,有留门,进门看到贝贝老师,人照符合,聊了一会,自觉交了水费,去洗澡,然后去床上,老师很认真的给我背部放松按摩,背部做

🤩1

17 Jul 2026, 04:16 UTC≈1,720 views2 reactionsread 8 August 2026

杭州御女阁出击报告模板: https://t.me/hangzhou_777 评分标准: 6分-差 7分-及格 8分-良好 9分-优秀 10分-极品 【老师艺名】:贝贝 【联系方式】:@gsbeibei 【老师芳邻】:28 【验证留名】:站神 【出击时间】:7月16日 【大概位置】:拱墅区 【出击水费】:工兵 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 ✅ 【人照相似】:8 【身高身材】:160身高差不多,身才还可以 【凶器罩杯】:那个是大,就是有点下垂,是真的软 【湿度紧度】:水多会夹 【环境细节】:环境可以停车方便 【个人卫生】:事前事后都✅洗,房间干净整洁 【时间管理】:开课准时,安排合理 【服务总结】:服务相当可以,不机车,可以二刷 【推荐程度】:刚回杭看到老师竞拍果断拿下,跟老师月好时间,到了老师楼下遥控上楼,老师给留了门

2

15 Jul 2026, 06:52 UTC≈1,810 viewsread 8 August 2026

我在杭州御女阁免费上榜啦,群内氛围轻松,不强制做活动,永久上榜! 👑👑认准Telegram官方认证防伪标志 👑 超多好看的小姐姐都在这里上榜!💖💖💖 https://telegram.me/hangzhou_777

Showing the 12 most recent of 20 posts we hold for @gsbeibei1767. 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 — 854,092 of 1,478,351entries 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.

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

“贝贝的小窝(旺仔仙贝)💋💋💋” (@gsbeibei1767), 4,357 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/gsbeibei1767.

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.