笑掉大牙! #杜淳妻子王灿被美容院骗去做灌肠 灌肠也就算了还灌错了位置。 请问这个灌肠灌到什么地方去了! 😂😂😂😂 新闻来源:新晚报 #灌肠
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Channel
@renrenchigua
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
68,509subscribers
+170 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001521754979 |
|---|---|
| Type | Channel |
| Username | @renrenchigua |
| Description | 吃瓜新闻曝光 热点资讯 沙雕视频 可爱动物 1228 0130 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/renrenchigua |
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 11:02 | 68,509 | -56 |
| 19 Sept 2026, 09:20 | 68,565 | -27 |
| 16 Sept 2026, 21:00 | 68,592 | +379 |
| 14 Sept 2026, 23:22 | 68,213 | +21 |
| 13 Sept 2026, 06:55 | 68,192 | -45 |
| 11 Sept 2026, 08:38 | 68,237 | +31 |
| 8 Sept 2026, 12:36 | 68,206 | -13 |
| 5 Sept 2026, 08:15 | 68,219 | +14 |
| 3 Sept 2026, 11:00 | 68,205 | +10 |
| 2 Sept 2026, 06:56 | 68,195 | -11 |
| 1 Sept 2026, 10:24 | 68,206 | -9 |
| 31 Aug 2026, 12:34 | 68,215 | -14 |
| 30 Aug 2026, 13:28 | 68,229 | +3 |
| 29 Aug 2026, 13:24 | 68,226 | +17 |
| 28 Aug 2026, 10:38 | 68,209 | -15 |
| 27 Aug 2026, 11:57 | 68,224 | +11 |
| 26 Aug 2026, 12:54 | 68,213 | +9 |
| 25 Aug 2026, 11:26 | 68,204 | +14 |
| 24 Aug 2026, 09:12 | 68,190 | -1 |
| 22 Aug 2026, 18:13 | 68,191 | first reading |
1,028 posts held, back to 6 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 199 pages of Telegram’s post history, 20 posts per page.
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 193 of 555 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 1,028 (6 August 2026 – 29 September 2026) |
| Views total | 356,410 |
| Reactions total | 299 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 21:46 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.
Lifetime counters from Telegram’s own channel header, read 29 September 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.
Measured directly from 849 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.
404 reactions across 231 posts, in 17 distinct kinds. The most used accounts for 46.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 189 | 46.8% | |
| 👍 | 130 | 32.2% | |
| 😁 | 16 | 3.96% | |
| 👏 | 14 | 3.47% | |
| 🥰 | 11 | 2.72% | |
| ⚡ | 10 | 2.48% | |
| 🎉 | 9 | 2.23% | |
| 🤩 | 5 | 1.24% | |
| 🔥 | 4 | 0.99% | |
| 🙏 | 4 | 0.99% | |
| 😭 | 3 | 0.743% | |
| 🤯 | 3 | 0.743% | |
| 🤮 | 2 | 0.495% | |
| 🕊 | 1 | 0.248% | |
| 😨 | 1 | 0.248% | |
| 🤡 | 1 | 0.248% | |
| 🤣 | 1 | 0.248% |
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 284 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 404 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 7 August 2026 to 29 September 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.
笑掉大牙! #杜淳妻子王灿被美容院骗去做灌肠 灌肠也就算了还灌错了位置。 请问这个灌肠灌到什么地方去了! 😂😂😂😂 新闻来源:新晚报 #灌肠
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瑜珈体位解锁真人示范
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看到这个姿势我不得不想歪啊,有一句话叫我能想到最浪漫的事就是和你用遍所有姿势
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你喜欢这种按摩吧…?不然怎么会有反应
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日本红灯区。妈咪就坐在旁边,明码标价,老少无欺。
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一般人真坚持不了1分钟。
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9月26-27日,河南郑州中原万达广场举办了一场千人脱单相亲活动,有网友拍摄到现场设有体制内专区,高净值专区,高学历专区。
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法学教授劳东燕,主张对违法犯罪都能够宽容大度,主打一个封存,保护罪犯的隐私信息。 然而和网友对线破防了,却公布别人的邮箱地址教唆自己的粉丝获取对方的个人信息。 所以就是违反犯罪,没犯到她身上,就能高谈阔论。一犯到她身上就一蹦三尺高🤣
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人肉发射架
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不要说娶川渝婆娘, 享背时人生! 看了这个视频后是娶川渝婆娘, 她将护你一生!
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这老大爷也是性情中人啊 到了有心无力的年纪 看看过过眼瘾也好啊
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你见过鬼吗? 你大白天有没有活见鬼? 看看这个视频,这位货车司机就真的是活见鬼了! 挡车的立柱,刚才还是好好的,转眼之间就不见了! 而大妈属于那种随时准备好了,抓住机会就搞一把的人,终于给她逮住机会,小赚一笔。 这种犹如牛皮癣的小偷小摸,其实对社会互信的伤害是最大的,由于金额不大,很难受到什么惩罚,但却人受害者欲哭无泪。
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Showing the 12 most recent of 1,028 posts we hold for @renrenchigua. 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.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“快来吃瓜” (@renrenchigua), 68,509 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/renrenchigua.
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.