Telegram RegisterThe public register of Telegram
Telegram profile photo for 海珠夏夏的频道

Channel

海珠夏夏的频道

@xiaxia143

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

4,880subscribers

-544 since we began measuring on 20 August 2026

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

Register entry

Telegram ID-1002140928644
TypeChannel
Username@xiaxia143
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded20 August 2026
Last confirmed live7 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/xiaxia143

Growth

4,8809,9937,436.520 August 2026 — 5,424 subscribers20 August 2026 — 5,424 subscribers21 August 2026 — 7,192 subscribers24 August 2026 — 9,993 subscribers27 August 2026 — 5,574 subscribers31 August 2026 — 5,216 subscribers2 September 2026 — 4,919 subscribers7 September 2026 — 4,880 subscribers20 August 20267 September 2026
8 measurements spanning 18 days, net -544. 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 4,113–10,760 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 15:164,880-39
2 Sept 2026, 16:344,919-297
31 Aug 2026, 01:155,216-358
27 Aug 2026, 16:185,574-4,419
24 Aug 2026, 21:279,993+2,801
21 Aug 2026, 01:277,192+1,768
20 Aug 2026, 15:005,424no change
20 Aug 2026, 14:455,424first reading

Engagement

24 posts held, back to 1 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.0%
avg views ÷ 4,880 subscribers
Avg views / post
1,070
9 posts measured
Reaction rate
0.093%
reactions ÷ views · ER floor
Posts in window
10
of 24 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 4 of 9 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 25 August 2026
Posts held24 (1 April 202625 August 2026)
Views total9,673
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Aug 2026, 10:18 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.

Reaction mix

27 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 92.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2592.6%
🔥27.41%

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 13 of the 24 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 1 April 2026 to 25 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

25 Aug 2026, 14:27 UTC384 views3 reactionsread 27 August 2026
Forwarded from @GBTBGBD

【工兵报告】https://t.me/GZGBTBT 【老师艺名】夏夏 【联系方式】@xiaxia142 【所在位置】海珠区 【验证留名】枸杞加酒 【验证时间】8月25日 【修车费用】1100pp 【颜值身材】9分 【服务内容】陪浴,水萧,舌吻,胸推,按摩,69,深喉,回笼萧 【服务态度】9 【优点缺点】服务一流,🐻手感好,口活棒,情绪价值到位 【推荐程度】9分 【体验细节】看到夏夏小姐姐开课了,提前约上,位置好找,遥控上楼,没有门禁,夏夏老师提前留了门,进门看到夏夏老师在迎接我,颜值长在了我的审美上,然后递水给我喝,帮忙脱衣服,这服务真热情,然后夏夏老师拉着我去洗澡,水中萧很舒服,洗好上二楼挑选制服,躺在床上闻着老师的发香身体偶尔传来一阵淡淡的清香,摸着细腻光滑的皮肤,这一刻想时间停留了。全程全自动,课表的服务应有尽有,大蟒🐍,口活真的特别棒,无齿感,包裹感十足,受不了马上请老师戴上小雨伞,进去的时候很紧致,马上翻身将小姐姐压

3

25 Aug 2026, 08:30 UTC448 views0 reactionsread 27 August 2026
Forwarded from @GBTBGBD

【工兵报告】https://t.me/GZGBTBT 【老师艺名】夏夏 【联系方式】@xiaxia142 【所在位置】海珠区江泰路 【验证留名】小白 【验证时间】8.25 【修车费用】600 【颜值身材】9 【服务内容】10 【服务态度】10 【优点缺点】服务满分,没有缺点 【推荐程度】推荐 【体验细节】老师非常热情,性格很好相处,🐍管饱。还有制服丝袜和事后萧,体验感满分。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交机器人: @GBTBGJQR_bot 报告提交条件:需要提供约课记录及付款记录验证

24 Aug 2026, 16:05 UTC583 viewsread 27 August 2026

【出击报告】https://t.me/jnggg 【所在位置】海珠区 【老师艺名】#夏夏 【联系方式】@xiaxia142 【验证留名】牧哥 【验证时间】8月24日 【上课价位】600 【人照几成】人照8成 【颜值分数】9 【身材分数】9 【课表服务】课表都有 【态度分数】10 【优点缺点】身材不错,🐍舒服,口活棒,情绪价值高 【推荐程度】9分 【体验细节】看到夏夏本人,人照8成,去掉美颜滤镜就是本人无疑。课室环境很好,很有氛围。老师声音也很好听,会主动找话题,态度很好。陪洗认真洗得非常细致。有水中萧,有情趣内衣,洗完我躺在床上,口活很好会舔蛋蛋会深喉,有舌吻。老师的胸很软,摸久了奶头会硬起来。来到品鲍环节,经过我一顿输出,老师会出现明显的肢体反应,表情也很享受,被我舔爽了,我舔了起码得有五分钟,逼上全是水。我这个时候戴套插入,老师舒服的呻吟了一声。爱爱过程,老师的有反馈很投入,传教士姿势的时候,老师呻吟得很大声感觉高潮了,然后

22 Aug 2026, 05:08 UTC948 viewsread 27 August 2026
Photo

🎉💐🎉Winner Winner🎉💐🎉 @xiaxia142 夏夏的蛇教福利抽奖 1. 兑奖请联系 @xiaxia142 2. 奖品自开奖时间起7天内有效。 3. 炸号者中奖作废。 4. 发奖人在发奖前请仔细阅读发奖指引,以防奖品被冒领造成不必要的损失👉 https://t.me/nsgwj1/738 5.优惠券禁止买卖或转让,如有发现永久拉黑。#佛山 #广州 🎫参与人数: 5513|号码总数: 5513 🔖中奖名单如下: 1- 你又怎会懂[+0] 🉐: 两课优惠200 2- 帝王宿命[+0] 🉐: 一课优惠100 3- 男人不坏[+0] 🉐: 28块红包 4- 独自一个人[+0] 🉐: 一课优惠100 5- 荡失路[+0] 🉐: 两课优惠200 6- 妾本红妆i[+0] 🉐: 28块红包 7- 博你一笑[+0] 🉐: 一课优惠100 8- 会魔法的老人kk[+0] 🉐: 28块红包 9- 自由之风[+0] 🉐: 两课优惠

20 Aug 2026, 03:55 UTC≈1,460 views1 reactionsread 27 August 2026
Photo

🎰@xiaxia142 夏夏的蛇教福利抽奖 🎁奖品如下: 一课优惠100 x 3 两课优惠200 x 3 28块红包 x 3 🎟参加条件: 加入-海珠夏夏的频道 加入-广州佛山蛇敎總动员 加入-广州佛山抽奖信息通告 加入-广州佛山修車信息资源 📝抽奖说明: 1. 兑奖请联系 @xiaxia142 2. 奖品自开奖时间起7天内有效。 3. 炸号者中奖作废。 4. 发奖人在发奖前请仔细阅读发奖指引,以防奖品被冒领造成不必要的损失👉 https://t.me/nsgwj1/738 5.优惠券禁止买卖或转让,如有发现永久拉黑。#佛山 #广州 ⏰开奖时间: 2026-08-22 11:54:00

1

20 Aug 2026, 03:44 UTC≈1,170 viewsread 27 August 2026

收到,把本群链接发到你的频道哦,谢谢支持~ https://t.me/jngzdh

22 Jul 2026, 09:02 UTC≈3,420 viewsread 27 August 2026
Forwarded from @vvjf123

【蛇教报告】[@snakenavigation] 【所在地区】海珠区 【老师艺名】夏夏 【联系方式】@xiaxia142 【验证留名】抽烟机 【验证时间】6月21日 【上课价位】600 【人照几成】9 【特色服务】全套服务 【满意程度】9分 【体验细节】夏夏老师休息好久了,终于开课了,联系好老师,遥控上楼,没有门禁,进门看到夏夏老师,样子还是挺耐看的,身材不错,没有距离感,抽了支烟交了水费开始一起洗澡,洗的很干净,有水中萧,全程不用自己动,突然一下就袭击我的下面,小兄弟里么抬起头来回应。被老师的嘴巴裹住,简直太舒服了,一起擦干就开始上床,情趣衣服也有很多可以选,然后到床上开始调情🐍吻,老师口活无敌,差一点就绷不住投降了,老师女上开局,经历侧入式、后入式等各种姿势,缴械投降。然后事后潇,值得一提的是后入真的很爽战斗结束稍作休息后,简单洗洗。和老师相互拥抱离开,约定下月再出击 温馨提示: 报告仅供参考 报告提交机器: @emper

Showing the 12 most recent of 24 posts we hold for @xiaxia143. 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 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.

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

“海珠夏夏的频道” (@xiaxia143), 4,880 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/xiaxia143.

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.