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Channel

泡泡朋友圈

@xiaohuipyq

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

31subscribers

+2 since we began measuring on 10 August 2026

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

Register entry

Telegram ID-1003756861230
TypeChannel
Username@xiaohuipyq
Created27 July 2026measured — dated from the channel’s first post
First recorded11 August 2026
Last confirmed live11 August 2026
Measurements held3
On Telegramt.me/xiaohuipyq

Growth

29313010 Aug 2026, 05:31 — 29 subscribers10 Aug 2026, 07:33 — 31 subscribers11 Aug 2026, 03:45 — 31 subscribers10 Aug 2026, 05:3111 Aug 2026, 03:45
3 measurements taken within a single day, net +2. 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 29–31 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 03:4531no change
10 Aug 2026, 07:3331+2
10 Aug 2026, 05:3129first reading

Engagement

10 posts held, back to 27 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
990.9%
avg views ÷ 31 subscribers
Avg views / post
307
6 posts measured
Reaction rate
0.287%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 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 10 August 2026
Posts held10 (27 July 202610 August 2026)
Views total1,843
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 03:45 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

Photos
9
Links
3

Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

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 10 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 10 most recent posts we hold, published 27 July 2026 to 10 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

10 Aug 2026, 16:14 UTC168 viewsread 11 August 2026

报告模板 反馈报告 上课时间:8.10 验证留名:加冰七分甜 所在位置:大朗 老师名称:#泡泡,@xhuiya 上课价格:600/1 妹子年龄:18 妹子容貌:8 妹子身材:9(萝莉身材) 服务态度:9 环境设备:8 自由评论:刷到群里七嘴八舌推的嫩妹,心痒难耐去CJ,万幸没有踩坑反而多了几分惊喜。#泡泡萝莉身材,粉嫩小紧,听话任盘。洗澡环节被我全身涂抹沐浴泡泡,前胸贴后背,JJ在腿缝和屁股缝中厮磨,几次不小心顶到泡泡花心娇喘一声。床上环节更是惊喜,在我快要缴械时泡泡大叫一声并把手挡在下面,还以为我动作粗鲁捅伤妹妹,没想往下一看一股热流喷出,在我大腿流下,声音也从啪啪声变成吧唧吧唧的,这一插曲顿时让我延时10分钟桩累的半死,泡泡是我第一次遇到会喷水嫩妹,体验相当新奇,好评,下次再返。 https://t.me/dgyyyzzz 市区 https://t.me/dgkkkzzz 长安常平 https://t.me/dgsss

10 Aug 2026, 15:44 UTC159 viewsread 11 August 2026
Forwarded from @dgcjbg888

报告模板 反馈报告 上课时间: 8.10 验证留名: 只日嫩妹 所在位置:大朗 老师名称:#泡泡 @xxy432 上课价格:600p 妹子年龄:18 妹子容貌: 8 妹子身材:9 服务态度:8 环境设备: 自由评论:偶发现来个嫩妹,随即预约,堵车,迟到几分钟,进门看,是个不错的小萝莉,应该是刚刚下海,会的不多,态度不错。年轻嫩妹我的最爱,日感不错,日喷水了,妹子喜欢力道大点,这个我喜欢,哈哈,好玩。 公开榜防失联 @tiantianfacai 公开榜 @vcaaa 同城群不开放版 @haha77 同城群开放版 @eee_4 纯狼友群 @DG66DS 麦当劳群 @DGQYXC 抽奖频道 https://t.me/+GAE4DqDq_yE5ODg6 报告投稿机器人 @DGresource_bot

10 Aug 2026, 12:35 UTC250 views1 reactionsread 11 August 2026

报告模板 反馈报告 上课时间:8.10 验证留名:易推倒 所在位置:大朗 老师名称:#泡泡 @xxy432 上课价格:12pp 妹子年龄:18 妹子容貌: 8 妹子身材:9(萝莉) 服务态度:8(三件套不会) 环境设备: 自由评论:昨天就发现这个新人嫩妹了,问了一下156。今天约的下午,见面是个150小萝莉,小小只,嫩妹的,简单清洗聊了会天开始步入正题,粉嫩小紧,可惜实力不剂123321完事。休息会,聊聊天有感觉了就继续第二次,热乎乎的进去真舒服,有一说一老师会喷水,还挺多。 公开榜防失联 @tiantianfacai 公开榜 @vcaaa 同城群不开放版 @haha77 同城群开放版 @eee_4 纯狼友群 @DG66DS 麦当劳群 @DGQYXC 抽奖频道 https://t.me/+GAE4DqDq_yE5ODg6 报告投稿机器人 @DGresource_bot

1

Showing the 10 most recent of 10 posts we hold for @xiaohuipyq. 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 — 130,860 of 1,480,944entries 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

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

“泡泡朋友圈” (@xiaohuipyq), 31 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/xiaohuipyq.

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.