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Channel

回判の数据号主频道

@huipannb886

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

348subscribers

+168 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-1004453697862
TypeChannel
Username@huipannb886
CreatedBetween 1 June 2026 and 29 July 2026— 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/huipannb886

Growth

1803482647 August 2026 — 180 subscribers7 August 2026 — 183 subscribers8 August 2026 — 183 subscribers15 August 2026 — 348 subscribers7 August 202615 August 2026
4 measurements spanning 8 days, net +168. 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 155–373 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 16:15348+165
8 Aug 2026, 12:31183no change
7 Aug 2026, 20:40183+3
7 Aug 2026, 12:02180first 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
48.4%
avg views ÷ 348 subscribers
Avg views / post
169
14 posts measured
Reaction rate
1.72%
reactions ÷ views · ER floor
Posts in window
20
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 7 of 14 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 8 August 2026
Posts held20 (29 July 20268 August 2026)
Views total2,360
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:31 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

9 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 55.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍555.6%
333.3%
😁111.1%

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 7 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 9reactions 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 8 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

8 Aug 2026, 10:06 UTC44 views1 reactionsread 8 August 2026

无限授权数据号号商联系我 @yuyuyuluoluo

👍1

8 Aug 2026, 07:29 UTC30 views1 reactionsread 8 August 2026

今天8点之前带着截图来找我兑奖 过时作废 联系: @yuyuyuluoluo

👍1

8 Aug 2026, 07:28 UTC31 views2 reactionsread 8 August 2026
Photo

💐💐💐开奖了💐💐💐 回判の抽奖 开奖了! 本期总参与人数: 50 1- 话语权 获得:免费出大头 2- 辛巴 获得:QQ下号文本 3- 破 碎 获得:QQ下号文本 4- 阴天 获得:QQ下号文本 5- 心 社 获得:快手wwg直举文本 6- 9 1 获得:快手wwg直举文本 7- Brandy Glass 获得:快手wwg直举文本 8- 39046534943926884145392688414511309701184 获得:快手wwg直举文本 9- 7 获得:快手wwg直举文本 谨祝中奖用户大吉大利万事顺意

👍1😁1

8 Aug 2026, 04:38 UTC74 views2 reactionsread 8 August 2026
Photo

徒弟最新反馈ks高概秒冻 频道破250人直接公益 拜师联系: @yuyuyuluoluo

👍2

7 Aug 2026, 12:59 UTC171 views1 reactionsread 8 August 2026
Photo

徒弟最新反馈 拜师联系: @yuyuyuluoluo

1

6 Aug 2026, 07:51 UTC562 viewsread 8 August 2026
Photo

🎰 回判の抽奖 📮 抽奖条件: 🎫 加入-回判の业务频道 🎁 奖品内容: 免费出大头 × 1 QQ下号文本 × 3 快手wwg直举文本 × 5 😊 参与人数: 开奖需要参与人数到达 50

6 Aug 2026, 06:11 UTC101 views1 reactionsread 8 August 2026

今天给大家讲解一下什么是伪造 伪造就是通过伪造和用户的聊天记录,或者说是转账记录,也可以在主页截图中p图将用户的主页简介改成违规或者说是挂上qq号并且进行伪造,伪造时需要准备两个号一个号用来举报另一个号换上对面的头像和名称那个号发送违规,另一个号截图。然后人工客服提交。在此之前需要发送该用户存在诈骗行为,我被该用户诈骗这种词汇,让机器人转接为高级顾问审核。在高级顾问观看后是会给你打电话的。然后你就要展示高超的p图技术。他说什么你就p什么,一般是需要你提供视频,只需要录制好两段,一个是聊天记录并点到主页,另一个是点到对面主页的视频两段视频进行拼接。然后发送给高级顾问就可以达到无违规。高级顾问的审核时间也比较长,一般三天出结果。你可以通过其他软件或者说通过邮箱向我们发送手机短信,这种类型提交举报,最好是把找到的邮箱和渠道全部提交一遍。 回判出品 想要学习的可以联系 @yuyuyuluoluo 个人频道: @huipannb886 专

1

6 Aug 2026, 02:48 UTC72 views1 reactionsread 8 August 2026
Photo

姓名反身份证5r 走一单 客服 @yuyuyuluoluo

1

Showing the 12 most recent of 20 posts we hold for @huipannb886. 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 — 327,346 of 1,481,306entries 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 4 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“回判の数据号主频道” (@huipannb886), 348 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/huipannb886.

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.