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Channel

@duibuqi 对不起爆料噢

@baoliaowang

2 usernames

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

11,326subscribers

-295 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-1001463051809
TypeChannel
Usernames@baoliaowang @duibuqi
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/baoliaowang

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 40% 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

11,32611,62111,473.57 August 2026 — 11,621 subscribers7 August 2026 — 11,612 subscribers8 August 2026 — 11,599 subscribers9 August 2026 — 11,594 subscribers10 August 2026 — 11,595 subscribers11 August 2026 — 11,582 subscribers12 August 2026 — 11,576 subscribers13 August 2026 — 11,580 subscribers14 August 2026 — 11,556 subscribers16 August 2026 — 11,540 subscribers17 August 2026 — 11,524 subscribers18 August 2026 — 11,508 subscribers19 August 2026 — 11,493 subscribers20 August 2026 — 11,491 subscribers21 August 2026 — 11,486 subscribers22 August 2026 — 11,480 subscribers25 August 2026 — 11,468 subscribers26 August 2026 — 11,459 subscribers27 August 2026 — 11,457 subscribers28 August 2026 — 11,449 subscribers29 August 2026 — 11,435 subscribers30 August 2026 — 11,423 subscribers31 August 2026 — 11,407 subscribers1 September 2026 — 11,399 subscribers2 September 2026 — 11,388 subscribers4 September 2026 — 11,379 subscribers6 September 2026 — 11,355 subscribers9 September 2026 — 11,326 subscribers7 August 20269 September 2026
28 measurements spanning 34 days, net -295. 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 11,282–11,665 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
9 Sept 2026, 20:3511,326-29
6 Sept 2026, 13:4111,355-24
4 Sept 2026, 02:2011,379-9
2 Sept 2026, 16:3911,388-11
1 Sept 2026, 13:1311,399-8
31 Aug 2026, 14:3711,407-16
30 Aug 2026, 14:5611,423-12
29 Aug 2026, 13:1411,435-14
28 Aug 2026, 09:3811,449-8
27 Aug 2026, 07:5411,457-2
26 Aug 2026, 08:2511,459-9
25 Aug 2026, 11:4511,468-12
22 Aug 2026, 23:5711,480-6
21 Aug 2026, 12:5511,486-5
20 Aug 2026, 15:5811,491-2
19 Aug 2026, 17:3611,493-15
18 Aug 2026, 15:0211,508-16
17 Aug 2026, 14:0511,524-16
16 Aug 2026, 03:3411,540-16
14 Aug 2026, 16:4811,556first reading

Engagement

14 posts held, back to 22 August 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 44 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 26 October 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

73 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 47.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3547.9%
👍3142.5%
😁22.74%
🤮22.74%
👏11.37%
🔥11.37%
🥰11.37%

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 14 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 73 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 22 August 2024 to 26 October 2025, 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

26 Oct 2025, 19:11 UTC≈8,660 views4 reactionsread 3 September 2026

#骗子曝光 @fuhao_a @haiyang_cw 死骗子,连几十U的会员都骗,全网曝光

🤮21🔥1

23 Aug 2025, 02:56 UTC≈5,560 views8 reactionsread 3 September 2026
Video

#曝光 #骗子 黑平台博世体育 @x6boss 死诈骗犯,全网曝光 👮‍♂🫵🔞❤️🙍‍♀ #曝光 #骗子 黑平台博世体育 @x6boss 死诈骗犯,全网曝光 👮‍♂🫵🔞❤️🙍‍♀ #曝光 #骗子 黑平台博世体育 @x6boss 死诈骗犯,全网曝光 👮‍♂🫵🔞❤️🙍‍♀ #曝光 #骗子 黑平台博世体育 @x6boss 死诈骗犯,全网曝光 👮‍♂🫵🔞❤️🙍‍♀ #曝光 #骗子 黑平台博世体育 @x6boss 死诈骗犯,全网曝光 👮‍♂🫵🔞❤️🙍‍♀ 意昂系列的财神畜生

8

29 Jul 2025, 03:44 UTC≈4,710 views3 reactionsread 3 September 2026
Photo

博世体育骗子平台👮‍♂🫵🔞❤️🧑‍🦳👅😁😁 #曝光 #骗子 #骗子死全家 博世体育,骗子公司!!!!!! 有这么多小号。 每天给你私信轰炸,每次都发不同的内容,其实都是一个人,这个是个骗子千万不要相信。 @tn878 @x6boss @pay8b @T8boss @wansui86888 @GA8168 @tonv8 @gshuh12 @qiuwangff 诈骗公司。有给你们发广告,千万不要信

3

11 Jul 2025, 14:44 UTC≈31,700 views1 reactionsread 3 September 2026
Photo

#骗子 公布下骗子公司,博世体育有这么多小号。 每天给你私信轰炸,每次都发不同的内容,其实都是一个人,这个是个骗子千万不要相信。 @tn878 @x6boss @pay8b @T8boss @wansui86888 @GA8168 @tonv8 @T8boss 诈骗公司。有给你们发广告,千万不要信

1

7 Jul 2025, 05:36 UTC≈24,900 views3 reactionsread 3 September 2026

公布下骗子公司,博世体育有这么多小号。 每天给你私信轰炸,每次都发不同的内容,其实都是一个人,这个是个骗子千万不要相信。 @tn878 @x6boss @pay8b @T8boss @wansui86888 @GA8168 @tonv8 @T8boss 诈骗公司。有给你们发广告,千万不要信

👍2👏1

29 Apr 2025, 02:24 UTC≈10,500 viewsread 3 September 2026

公布病毒狗一只 @AADTLL1 专门买关于中文语言安装包的用户名去放病毒 安装中文语言包无需下载,直接切换就可以了,所有需要下载的都是病毒! 安装中文语言包认准 @zhongwen

23 Mar 2025, 04:56 UTC≈14,100 views6 reactionsread 3 September 2026
Photo

曝光诈骗犯一个 @Paou8 他的小号是 @WEICB8 @bibihuisou 我给他曝光了后,他还想通过更改用户名逃避曝光,我会持续更新他改的用户名。

👍42

18 Feb 2025, 13:21 UTC≈10,500 views0 reactionsread 3 September 2026
Photo

宣传下一个狗骗子,3毛都要骗 @maskdoll

3 Feb 2025, 08:59 UTC≈10,100 views3 reactionsread 3 September 2026

项目名称 公布骗子死诈骗犯 骂他们截图找我领钱 一个号 2u 骗子是这两个 tg : @Linxingzhu7 : @jinma171819 领钱找我 @wnzskyz

👍21

21 Nov 2024, 01:57 UTC≈15,000 views1 reactionsread 3 September 2026

昨天11.19缅甸当阳园区被一窝端 小道消息。 具体更多消息,欢迎投稿 关注 对不起爆料噢 @duibuqi

1

19 Nov 2024, 09:31 UTC≈15,100 views10 reactionsread 3 September 2026

聚宝盆担保老板 刘贵斌 山东金乡人 原来是在广东做鸡头 手下有18个小妹,后面带了七个女的去柬埔寨做嫖娼生意,后面我去嫖娼认识刘贵斌,开始带他接触到短信打粉方面。 后面去年2月份我一手带他开短信打粉盘口,开盘口的时候 他身上没有那么多钱,是我开他投资了3wu,现在跑路了还欠我3wu,现在聚宝盆担保员工说老板进去了, 完全就是想提前过肥年。 据我了解,现在聚宝盆担保拍卖id与之前虎牙担保无缝衔接跑路,他在虎牙id拍卖后被盗回 过了一个月左右又不知道从哪里拍卖了劳务id 怎么这次就不怕被盗回去了呢?聚宝盆担保从始至终就是一头跑路狗,这次又想割哪些客户呢?出来再拍卖一次,虎牙和聚宝盆是一个人两次跑了140万。 聚宝盆担保负责人jeep之前名字叫财神,在鸿升集团当主管,随时国内严打,公司劝返很多员工回国排查,随时,财神意识到了公司要倒闭,召集了几个彩信助理进行担保。 客服都有:虎宝(wm)花宝(瑶一瑶)思雯(自由)蜜桃(山月)

6👍4

1 Sept 2024, 05:22 UTC≈16,000 views24 reactionsread 3 September 2026
Photo

@packetgift_bot 这个机器人分享的红包别领,会盗号,不信的后果自负。。 千万不要去点 千万不要去点 千万不要去点 非常重要,别上当!!

👍129😁2🥰1

Showing the 12 most recent of 14 posts we hold for @baoliaowang. 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

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

“@duibuqi 对不起爆料噢” (@baoliaowang), 11,326 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/baoliaowang.

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.