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Channel

国内热点吃瓜

@regua888

2 usernames

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

67,493subscribers

-8,923 since we began measuring on 29 August 2026

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

Register entry

Telegram ID-1001211066204
TypeChannel
Usernames@chiguaresou @regua888
Description唯一商务: @yy3344y 唯一投稿: @Tndersun 最新最全的中国社会热搜、明星翻车、网络风暴、地方奇闻尽在掌握!每天精选热点内容+吃瓜点评,带你轻松了解舆论场背后的真相与热闹。 本频道内容来自网络整理与网友投稿,仅供吃瓜参考,不代表平台立场。若内容涉及个人或机构,请及时联系删除。我们反对造谣、网暴,尊重法律法规。
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 August 2026
Last confirmed live9 November 2026
Measurements held42
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/regua888

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 14 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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 the other topics.

Growth

67,49376,58872,040.529 August 2026 — 76,416 subscribers30 August 2026 — 75,839 subscribers31 August 2026 — 75,762 subscribers1 September 2026 — 75,719 subscribers2 September 2026 — 75,569 subscribers4 September 2026 — 75,478 subscribers6 September 2026 — 75,276 subscribers10 September 2026 — 74,870 subscribers12 September 2026 — 74,631 subscribers14 September 2026 — 74,547 subscribers15 September 2026 — 76,083 subscribers18 September 2026 — 76,588 subscribers1 October 2026 — 72,018 subscribers6 October 2026 — 71,122 subscribers10 October 2026 — 70,519 subscribers13 October 2026 — 70,162 subscribers14 October 2026 — 70,051 subscribers15 October 2026 — 69,909 subscribers17 October 2026 — 69,810 subscribers18 October 2026 — 69,740 subscribers19 October 2026 — 69,657 subscribers20 October 2026 — 69,576 subscribers21 October 2026 — 69,471 subscribers22 October 2026 — 69,376 subscribers23 October 2026 — 69,270 subscribers24 October 2026 — 69,187 subscribers25 October 2026 — 69,133 subscribers26 October 2026 — 69,090 subscribers27 October 2026 — 69,006 subscribers28 October 2026 — 68,938 subscribers29 October 2026 — 68,795 subscribers30 October 2026 — 68,655 subscribers31 October 2026 — 68,518 subscribers1 November 2026 — 68,385 subscribers2 November 2026 — 68,335 subscribers3 November 2026 — 68,184 subscribers4 November 2026 — 68,057 subscribers5 November 2026 — 67,982 subscribers6 November 2026 — 67,878 subscribers7 November 2026 — 67,793 subscribers8 November 2026 — 67,642 subscribers9 November 2026 — 67,493 subscribers29 August 20269 November 2026
42 measurements spanning 72 days, net -8,923. 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 66,129–77,952 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)SubscribersChange
9 Nov 2026, 22:0967,493-149
8 Nov 2026, 15:5667,642-151
7 Nov 2026, 12:3167,793-85
6 Nov 2026, 14:5767,878-104
5 Nov 2026, 12:5967,982-75
4 Nov 2026, 11:1668,057-127
3 Nov 2026, 11:0868,184-151
2 Nov 2026, 12:2168,335-50
1 Nov 2026, 15:3068,385-133
31 Oct 2026, 12:0668,518-137
30 Oct 2026, 12:1968,655-140
29 Oct 2026, 11:5968,795-143
28 Oct 2026, 07:2768,938-68
27 Oct 2026, 09:0669,006-84
26 Oct 2026, 07:0169,090-43
25 Oct 2026, 10:2769,133-54
24 Oct 2026, 13:0669,187-83
23 Oct 2026, 14:0669,270-106
22 Oct 2026, 16:0669,376-95
21 Oct 2026, 10:4869,471first reading

Engagement

2,002 posts held, back to 29 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 144 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.66%
avg views ÷ 67,493 subscribers
Avg views / post
1,120
763 posts measured
Reaction rate
0.108%
reactions ÷ views · ER floor
Posts in window
813
of 2,002 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 606 of 763 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 9 November 2026
Posts held2,002 (29 August 2026 – 9 November 2026)
Views total852,941
Reactions total741
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 23:34 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
≈56,400
Videos
≈90,600
Links
≈543

Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
8h 02m
Average length
1m 00s

Measured directly from 479 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

935 reactions across 768 posts, in 10 distinct kinds. The most used accounts for 26.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍24926.6%
👏9410.1%
❤‍🔥929.84%
🍌869.20%
💔869.20%
👎859.09%
❤848.98%
👌818.66%
🔥778.24%
🖕10.107%

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 772 of the 1,000 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 935 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 4 October 2026 to 9 November 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

Telegram’s own ‘edited’ marker: 0 of 813 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

9 Nov 2026, 18:07 UTC≈1,300 views1 reactionsread 9 November 2026
Video

砸饭碗了 彩票行业jiemi

👏1

9 Nov 2026, 18:06 UTC≈1,620 views1 reactionsread 9 November 2026

#内幕消息 妈啊!我不知道你们有没有这种感觉。 我们处在一个“用户审美提高”+“劳动力过剩”而引起的内容升级时代。 为什么小红书今年比知乎牛逼? 我们可以从生产力的角度来理解。 为什么知乎这种纯文字的平台越来越垃,而小红书今年强势崛起了。 以一个用户的搜索行为为例,当用户搜索“南京国庆有什么好吃的?” 平台可以提供三类内容来解决用户的这个问题 1.纯文字+少量图片,比如知乎回答 2.主体图片+少量文字,比如小红书笔记 3.短视频/长视频,比如抖音、B站 在这三种形式的内容当中,对于此类生活经验问题,最有效、最有用的是图文。 文字没办法写的很生动、视频又需要拉动。 只有图文可以一眼看明白。 即,读者可以以最小的代价获得最大的信息量。 但是问题来了,图文只有在美感达到某个界限的程度下才能战胜纯文字。 现在由于文字创作者生产力过剩,所以就有人不得不转型。 于是,图文升级就开始了。 你可以理解为,纯文…

👍1

9 Nov 2026, 18:06 UTC≈1,740 views1 reactionsread 9 November 2026

酱园弄口碑有点差,这是我没想到的… 在宣发前期,几位85花的粉丝们都在力争谁演的更好,聊某一位角色的不够真实,这些粉圈火拼,盖过了全网对电影内容的深度解析,导致焦点完全错位了,这部片子好的点都没有被尽数放大,譬如历史意义、拍摄手法、片外花絮等等。 好的深度影评,实际上是影片必备佐料。 能让观众对个体关注点以外的内容产生理解和认可,减少困惑和不解。 开分5.9,那就更灾难了… 人们会默认烂片,不值一提。 一些影视从业者认为该片评分低的一大灾难点,在于85花请的过多了,半场开香槟🍾,产生了过强的噪点。

👏1

9 Nov 2026, 18:05 UTC29 views1 reactionsread 9 November 2026
Video

印度人庆祝排灯节,德里、孟买等多地发生火灾 #节日 #火灾

👍1

9 Nov 2026, 18:04 UTC959 views1 reactionsread 9 November 2026
Video

大哥你这是什么新型搭讪方式

❤‍🔥1

9 Nov 2026, 18:04 UTC≈1,280 views1 reactionsread 9 November 2026
Video

最近华为车集体在半夜抽风…… 原因是华为搞了一个智能驾驶比赛 使用自动泊车、智能驾驶功能可以获得积分,前几名有大奖 于是不少车主选择在半夜疯狂刷分…..🤔

❤1

9 Nov 2026, 18:04 UTC30 views1 reactionsread 9 November 2026
Video

霍尔木兹海峡新的袭船事件

👌1

9 Nov 2026, 18:03 UTC28 views1 reactionsread 9 November 2026
Photo

Alice Huang 黄乐 个人简历 如何成为黄女郎 #科普 黄仁勋 出轨 女主角

👎1

9 Nov 2026, 09:23 UTC971 views2 reactionsread 9 November 2026
Video

#开车 #冲店 人没事吧 #车祸

🍌1👍1

9 Nov 2026, 09:22 UTC≈1,300 views2 reactionsread 9 November 2026

已知是恋童癖的账号“窝瓜王”加入了该群组。已自动封禁。 原因:该账号参与了一个鼓励/允许分享儿童色情内容/链接,并进行公开恋童话题的群组。

👍2

Showing the 12 most recent of 2,002 posts we hold for @regua888. 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

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

“国内热点吃瓜” (@regua888), 67,493 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/regua888.

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.