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Channel

無主网 feat. @TheKinless | 新聞吃瓜黑料

@WuZhuWang

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

14,011subscribers

-610 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003832780205
TypeChannel
Username@WuZhuWang
CreatedBetween 1 February 2026 and 2 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/WuZhuWang

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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

14,01114,62114,3167 August 2026 — 14,621 subscribers7 August 2026 — 14,621 subscribers8 August 2026 — 14,597 subscribers9 August 2026 — 14,576 subscribers10 August 2026 — 14,559 subscribers11 August 2026 — 14,524 subscribers12 August 2026 — 14,511 subscribers13 August 2026 — 14,505 subscribers14 August 2026 — 14,499 subscribers16 August 2026 — 14,460 subscribers17 August 2026 — 14,439 subscribers18 August 2026 — 14,404 subscribers19 August 2026 — 14,379 subscribers20 August 2026 — 14,360 subscribers22 August 2026 — 14,344 subscribers23 August 2026 — 14,293 subscribers25 August 2026 — 14,270 subscribers26 August 2026 — 14,252 subscribers27 August 2026 — 14,241 subscribers28 August 2026 — 14,232 subscribers29 August 2026 — 14,225 subscribers30 August 2026 — 14,211 subscribers31 August 2026 — 14,215 subscribers1 September 2026 — 14,212 subscribers1 September 2026 — 14,209 subscribers3 September 2026 — 14,183 subscribers5 September 2026 — 14,170 subscribers8 September 2026 — 14,167 subscribers11 September 2026 — 14,106 subscribers13 September 2026 — 14,066 subscribers14 September 2026 — 14,054 subscribers16 September 2026 — 14,042 subscribers19 September 2026 — 14,011 subscribers7 August 202619 September 2026
33 measurements spanning 42 days, net -610. 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 13,920–14,713 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
19 Sept 2026, 02:0114,011-31
16 Sept 2026, 13:3714,042-12
14 Sept 2026, 18:5714,054-12
13 Sept 2026, 04:5714,066-40
11 Sept 2026, 07:3914,106-61
8 Sept 2026, 12:1814,167-3
5 Sept 2026, 05:1714,170-13
3 Sept 2026, 08:2014,183-26
1 Sept 2026, 23:3414,209-3
1 Sept 2026, 03:0214,212-3
31 Aug 2026, 05:5414,215+4
30 Aug 2026, 05:0914,211-14
29 Aug 2026, 04:2714,225-7
28 Aug 2026, 03:5314,232-9
27 Aug 2026, 03:0714,241-11
26 Aug 2026, 01:3214,252-18
25 Aug 2026, 03:0814,270-23
23 Aug 2026, 16:2214,293-51
22 Aug 2026, 04:3714,344-16
20 Aug 2026, 20:5614,360first reading

Engagement

79 posts held, back to 2 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 51 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.45%
avg views ÷ 14,011 subscribers
Avg views / post
202
13 posts measured
Reaction rate
0.505%
reactions ÷ views · ER floor
Posts in window
13
of 79 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 13 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 30 August 2026
Posts held79 (2 July 202630 August 2026)
Views total2,632
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 19:05 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
3m 11s
Average length
27s

Measured directly from 7 videos 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

31 reactions across 16 posts, in 9 distinct kinds. The most used accounts for 22.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
722.6%
😁722.6%
👏412.9%
👍39.68%
🤣39.68%
👌26.45%
💩26.45%
🕊26.45%
🤯13.23%

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 22 of the 79 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 79 most recent posts we hold, published 2 July 2026 to 30 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

30 Aug 2026, 02:39 UTC638 viewsread 2 September 2026
Photo

云南黑社会贩毒组织永夜安港的创始人 王嘉雨(璐璐) 已经被他的马仔Zakk扎鸡叔(郑琳耀)害死了,因为吃zakk的毒品和其他毒品联合使用导致呼吸抑制死亡。 现在我们恳求大家踊跃报警为王嘉雨家人提供线索,请让真相大白 凶手郑琳耀的灵堂(含身份证 手机号) https://lin-is-god-of-drug.pages.dev/

30 Aug 2026, 02:33 UTC122 viewsread 2 September 2026

孙宇晨“违规出境”已经上热搜了 违规出境:2018年底,孙宇晨在被边控后通过非常规方式离境,此后长期滞留海外。 国籍变更:他已取得格林纳达国籍,并持该国护照及美国长期居留身份,主动规避回国。 这事吧,大家本来都可以睁一只眼闭一只眼,你做你的灰产,别搞事,大家都相安无事。 可是孙割不仅抠搜,还以为自己可以遮天。以为欺负了一个善茬,结果碰到了硬茬,这是真搬起石头砸自己的脚。 怪不得赵长鹏骂了他之后取消了关注。这是怕被他连累整个圈子吧?

28 Aug 2026, 04:17 UTC97 views0 reactionsread 2 September 2026
Photo

@gongzisama 这条弱智野狗让人很难绷啊 吹嘘自己什么药学博士,还敢叫自己“公子”这么狂妄的名字 认识他的都知道,他狗屁不会,整日在网上莫名其妙的参与毒虫间堪比豆包智力纯靠ai瞎编乱造科研研究 缺爱嗑药弱智儿童就别丢人现眼了,你做过最复杂的研究还是右美沙芬片泡水徒手捞药渣子和甘油谜,你管这他妈叫科研😅 自己还是小学文凭就在化圈钦点江山,你问过大家了吗就自顾自的乱教😅 小学博士,你给我钱我他妈都不问你

27 Aug 2026, 05:19 UTC131 viewsread 2 September 2026

绿绿总是歪理一大堆,他们认为吃猪肉是最大的恶 没吃猪肉的情况下强奸 抢劫 谋杀 欺诈一切不信伊斯兰的人 把一切能干的畜生事都干了,自己也是干净善良至清至纯的🤭 缺德,自私,迂腐,邪恶,保守,封建,道德败坏,缺乏人性🤷

27 Aug 2026, 05:12 UTC126 viewsread 2 September 2026

为什么回子们满世界的诈骗害人搞的大家都不好过?我们需要进行一次奋斗 种族清洗,代价是全人类都会幸福

27 Aug 2026, 05:07 UTC131 viewsread 2 September 2026

回族人无论诈骗多少人,害死多少人都能上天堂 只要没吃过猪肉就能转生🤣 谁懂这种零负罪感超绝害人精,我怀疑回族人脑子里流的都是猪油才这么坏 猪就是回族人的同类

26 Aug 2026, 04:39 UTC155 viewsread 2 September 2026

看见回族人和巴基斯坦人就逃吧,一句话也别信,全都当放屁

26 Aug 2026, 04:36 UTC120 views2 reactionsread 2 September 2026

1.看到回族人要小心 (混血杂种) 2.看到巴基斯坦人要小心 (巴铁只是教义中允许为真主撒的谎) 3.看到伊朗人要小心 (一般碰不到) 4.看到俄罗斯白俄罗斯人也要小心 (他们也是伊斯兰教杂碎)

😁2

26 Aug 2026, 04:32 UTC671 views2 reactionsread 2 September 2026

和你们解释一下,为什么回族人是畜生 他们愚昧信仰着一套保守封建的体系 不信伊斯兰教的都是 “卡菲勒” 背信弃义下地狱者,🤭,至于巴基斯坦和其他散落海外的也是一样的 回子们里外勾结在一起,研究怎么把所有卡菲勒害死 抢夺,欺诈 这些人全部财产, 从大骗子到小餐馆 你走进他旁边都是一样的,在他们看来你只是有法律保护的两脚羊 随时待宰

👌2

Showing the 12 most recent of 79 posts we hold for @WuZhuWang. 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.

Posts edited after publishing

@WuZhuWang edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
11 August 2026
Most recent edit
28 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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

“無主网 feat. @TheKinless | 新聞吃瓜黑料” (@WuZhuWang), 14,011 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/WuZhuWang.

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.