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Channel

无双官方频道

@wushuangzonghe

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

38,382subscribers

-1,126 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002487639470
TypeChannel
Username@wushuangzonghe
Description无双综合机器人
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/wushuangzonghe

Topic

Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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

38,38239,50838,9457 August 2026 — 39,508 subscribers7 August 2026 — 39,508 subscribers7 August 2026 — 39,506 subscribers8 August 2026 — 39,472 subscribers10 August 2026 — 39,441 subscribers11 August 2026 — 39,427 subscribers12 August 2026 — 39,385 subscribers13 August 2026 — 39,366 subscribers14 August 2026 — 39,329 subscribers16 August 2026 — 39,289 subscribers17 August 2026 — 39,237 subscribers18 August 2026 — 39,210 subscribers19 August 2026 — 39,170 subscribers20 August 2026 — 39,149 subscribers21 August 2026 — 39,126 subscribers22 August 2026 — 39,082 subscribers24 August 2026 — 39,023 subscribers25 August 2026 — 38,994 subscribers26 August 2026 — 38,960 subscribers27 August 2026 — 38,951 subscribers28 August 2026 — 38,925 subscribers29 August 2026 — 38,895 subscribers30 August 2026 — 38,877 subscribers31 August 2026 — 38,843 subscribers1 September 2026 — 38,803 subscribers2 September 2026 — 38,763 subscribers4 September 2026 — 38,736 subscribers6 September 2026 — 38,651 subscribers10 September 2026 — 38,566 subscribers12 September 2026 — 38,489 subscribers13 September 2026 — 38,440 subscribers15 September 2026 — 38,415 subscribers17 September 2026 — 38,382 subscribers7 August 202617 September 2026
33 measurements spanning 41 days, net -1,126. 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 38,213–39,677 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
17 Sept 2026, 14:4038,382-33
15 Sept 2026, 13:3738,415-25
13 Sept 2026, 23:0138,440-49
12 Sept 2026, 05:4138,489-77
10 Sept 2026, 00:3838,566-85
6 Sept 2026, 20:3938,651-85
4 Sept 2026, 11:0138,736-27
2 Sept 2026, 19:4638,763-40
1 Sept 2026, 21:1438,803-40
31 Aug 2026, 19:4538,843-34
30 Aug 2026, 16:1638,877-18
29 Aug 2026, 16:4638,895-30
28 Aug 2026, 19:3438,925-26
27 Aug 2026, 20:5538,951-9
26 Aug 2026, 22:3738,960-34
25 Aug 2026, 21:0838,994-29
24 Aug 2026, 18:1339,023-59
22 Aug 2026, 23:1639,082-44
21 Aug 2026, 13:4739,126-23
20 Aug 2026, 16:2539,149first reading

Engagement

18 posts held, back to 23 October 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 87 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.33%
avg views ÷ 38,382 subscribers
Avg views / post
1,280
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 18 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 15 September 2026
Posts held18 (23 October 202515 September 2026)
Views total2,560
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Sept 2026, 12:24 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
36

Lifetime counters from Telegram’s own channel header, read 23 September 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.

Recent posts

15 Sept 2026, 11:41 UTC≈1,130 viewsread 23 September 2026
Photo

联通运营商最新实时名下号5U 漏一赔十,无遗漏,上一秒开户,下一秒就可以查到 @sanmiao03

13 Sept 2026, 09:20 UTC≈1,430 viewsread 23 September 2026

高德地图轨迹强登🙂‍↔️😙😎 所有导航记录,打车记录…… 私信我看模板 同行来拿优势价格 都保真 无遗漏 @sanmiao03

1 Jul 2026, 18:14 UTCviews —

无双官方频道 pinned «虽然无双的老板被抓了 但是有想用此频道引流的 可以付费登入每日广告位 一天38U 一周188U 一月388U 为保障每位付费老板的权益 付费后 广告到期才会接待下一位付费老板 让每位付费老板得到流量扶持 支持预约 担心没流量?社工库好用却无人问津? 业务广泛但又缺乏客户? 无双广告为你导航 🔥🔥🔥🔥🔥🔥🔥🔥 广告客服 @sanmiao03»

1 Jul 2026, 18:13 UTC≈9,700 viewsread 23 September 2026

虽然无双的老板被抓了 但是有想用此频道引流的 可以付费登入每日广告位 一天38U 一周188U 一月388U 为保障每位付费老板的权益 付费后 广告到期才会接待下一位付费老板 让每位付费老板得到流量扶持 支持预约 担心没流量?社工库好用却无人问津? 业务广泛但又缺乏客户? 无双广告为你导航 🔥🔥🔥🔥🔥🔥🔥🔥 广告客服 @sanmiao03

1 Feb 2026, 11:42 UTC≈24,600 viewsread 23 September 2026

老板们新年好 新年新气象 虽然无双的老板被抓了 但是有想用此频道引流的 可以付费登入每日广告位 一天38U 一周188U 一月388U 为保障每位付费老板的权益 付费后 广告到期才会接待下一位付费老板 让每位付费老板得到流量扶持 支持预约 担心没流量?社工库好用却无人问津? 业务广泛但又缺乏客户? 无双广告为你导航 🔥🔥🔥🔥🔥🔥🔥🔥 广告客服 @sanmiao03

12 Dec 2025, 11:31 UTC≈31,600 viewsread 23 September 2026
Photo

此次更新如下 1.批量人脸更换接口 无限制无遗漏 2.批量银行卡更换接口 无限制无遗漏

28 Nov 2025, 04:55 UTC≈34,400 viewsread 23 September 2026
Photo

此次更新如下 1.批量三要素更新完毕 唯一一个缺点是核验过正确的之后这个正确的三要素就不能再核验 但是无遗漏不抽风无限制

14 Nov 2025, 17:54 UTC≈26,800 viewsread 23 September 2026
Photo

此次更新如下 1.批量人脸更新接口无限制无遗漏不抽风 没有任何的限制 2.单次人脸更换接口 由于单次人脸的接口更换为某公安接口 此公安接口对于活体检测有要求 所以当活体检测不通过时是不会通过的 所以我们给机器人的单次人脸加入了一个提醒 当提醒出现 “活体检测失败,请更换照片重试❌ ” 这个时候我们就需要换一张这个人的照片或者“通过豆包或者其他的AI跟他们说在照片后面加入一个真实的建筑物”反正只要让照片看的比较真实而不是P出来的即可 此单次人脸百分百正确只要是出来的结果 当然如果无论如何此照片都过不去的话可以使用/plrl也一样 因为“/plrl”没有任何限制 温馨提示:大部分的照片都不会出现活体检测失败 只有少数的才会出现 所以请放心使用

14 Nov 2025, 11:35 UTC≈18,400 viewsread 23 September 2026
Photo

此次更新如下 婚姻状态更新登记日期 离婚的也有

9 Nov 2025, 10:11 UTC≈20,700 viewsread 23 September 2026
Photo

此次更新如下 1.由于学历功能之前属于会员专属系列 所以有些人动不动就查询一下不管有没有只顾着“好玩” 我们的初衷是提供给有需要的人提供查询帮助 而不是用于只为了“好玩”因此 内部决定把学历功能转移到钻石功能里面去 2.学历功能史记大更新 增加三种“ 学校名称 形式 类型” 我们可以再次承诺 学历完全真实可到任何地方核验 钻石价格定为1U一次! 3.而且这次的接口是属于学信网官网的 也就是说有多少学历就出多少!

29 Oct 2025, 18:09 UTC≈22,000 viewsread 23 September 2026
Photo

此次更新如下 1.增加全国医保医疗功能发送“yb 身份证”即可出相关信息 2.如果是报错或者是其他没出来的过一会请重试 3.如果出现了查询失败:OCR识别失败请重发 4.遇到解析发票数据失败重新发一遍因为网卡

Showing the 12 most recent of 18 posts we hold for @wushuangzonghe. 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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

“无双官方频道” (@wushuangzonghe), 38,382 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/wushuangzonghe.

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.