#贵阳花果园吵架 贵阳有嘻哈,你家妈!

Channel
吃瓜群众12316猎奇新闻视频
@CG12316
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
152,383subscribers
+694 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002013033357 |
|---|---|
| Type | Channel |
| Username | @CG12316 |
| Description | 🍉吃瓜,是一种生活态度。 🤝广告合作联系 @CG10086_bot 👥也可群里留言 @CG12369 |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/CG12316 |
Topic
Gambling & betting — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 59% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 07:43 | 152,383 | +105 |
| 11 Aug 2026, 11:13 | 152,278 | +150 |
| 10 Aug 2026, 10:15 | 152,128 | +231 |
| 9 Aug 2026, 11:01 | 151,897 | +104 |
| 8 Aug 2026, 10:32 | 151,793 | +104 |
| 7 Aug 2026, 14:00 | 151,689 | no change |
| 7 Aug 2026, 13:58 | 151,689 | first reading |
Engagement
80 posts held, back to 5 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.45%
- avg views ÷ 152,383 subscribers
- Avg views / post
- 3,730
- 80 posts measured
- Reaction rate
- 0.107%
- reactions ÷ views · ER floor
- Posts in window
- 80
- of 80 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 57 of 80 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 80 (5 August 2026 – 12 August 2026) |
| Views total | 298,715 |
| Reactions total | 264 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 19:11 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
- ≈7,940
- Videos
- ≈13,600
- Links
- ≈242
Lifetime counters from Telegram’s own channel header, read 12 August 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
- 23m 45s
- Average length
- 20s
Measured directly from 71 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
264 reactions across 51 posts, in 12 distinct kinds. The most used accounts for 40.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 107 | 40.5% | |
| ❤ | 91 | 34.5% | |
| 💩 | 23 | 8.71% | |
| 🕊 | 9 | 3.41% | |
| 😁 | 9 | 3.41% | |
| 👏 | 7 | 2.65% | |
| 🙏 | 6 | 2.27% | |
| 😢 | 4 | 1.52% | |
| 🔥 | 3 | 1.14% | |
| 🥰 | 3 | 1.14% | |
| 👀 | 1 | 0.379% | |
| 🤷 | 1 | 0.379% |
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 57 of the 80 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 264reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 5 August 2026 to 12 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
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💩2🥰1
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#吐口水 泼水节吗?玩的这么开心!
#恋物癖 记录我人生中第一次打胶! 人生中第一次扫楼打胶就扫到丝袜小皮鞋 RT,昨晚是真的精虫上脑。壮着胆就干了 同小区不同楼栋的 女主白白瘦瘦的 经常穿jk 跟过她好几次了 每次都隔老远在她后面闻小香风 有个肥猪男友 之前也来过她这栋但是一直没找到她住哪一楼 昨天晚上换了个梯位往上爬 终于被我找到 看到皮鞋里塞着一双白袜我直接小头控制大头了。今天必须射她 担心她家门口有监控又担心里面有人会出来 我就在楼道口蹲了半天 然后又假装找错地方在门口绕了两圈 这会心脏都快跳出来了 直接拿着鞋子袜子进楼梯开打了 然后这个楼梯里的声控灯又特别灵敏 我一点点动静它就会亮起来 害得我硬不起来 还录了俩视频 一只丝袜套着 另一只放鼻子上闻 太刺激没忍住射里面 后面把丝袜带走了 鞋子放回原处 没忍住 主要太喜欢这款了 完全戳中我的点 喜欢穿各种小裙子 丝袜套白袜 这双白袜也是丝袜的材质。等于穿了两双丝袜。真的,太爽了。就是味道比较淡…
💩8❤3🤷1
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😂😂😂😂 😂😂😂😂 球速体育 相信品牌的力量,老品牌,值得信赖 🤩🤩🤩🤩🤩🤩🤩 qs1808.cc ➡️ 球速体育 豪礼大放送、高端嫩模、劳力士手表、奔驰E300 等大礼等你来豪夺 😀😀😀😀😀😀😀😀😀😀😀😀😀 球速体育 大会员再创新高: 1.泰国大老板百家乐存50万出512万 2.斯里兰卡神秘大哥连续5天总提4000万+ 3.实力盘总PA真人喜提990万一路爆红 4.pp电子糖果1000小注一拉爆出70万大奖 😁😀😁😁😁😁😚🙁😛☺️😉😋以及多种电子钱包存取款、大额出款无忧 (您的最佳选择,欢迎体验) 大额出款额外奖励8888-128888,双重日存彩金128888+4688每日送,周流水彩金68888每周送,双重签到彩金16888+3888送不停 😅😏😃😃🙃😢😅😚😍😀😏😝 【 #球速体育 安全有保障】 老品牌值得信赖、安全第一、保障第一 不限ip、 免实名、免绑卡、免绑手机号码 每日存款彩金每日送,每笔存…
#沈阳剧本杀 #剧本杀 避雷沈阳有鲤剧本杀不雅视频曝光!
❤7👀1
Showing the 12 most recent of 80 posts we hold for @CG12316. 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
@CG12316 edited 1 post 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
- 12 August 2026
- Most recent edit
- 12 August 2026
Citation-graph rank
Citation-graph rank — 356,289 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
@hy6688vip · 5395 posts🔥【球速体育】🔥官网招商
@QSTY321 · 9965 posts💖PG电子💖麻将胡了💖AG捕鱼
@qsty8999 · 11,5975 posts球速体育 赛事推荐、足球、nba篮球|世界杯
@QSTY988 · 4,6015 posts【汇盈娱乐官方频道】
@zhazhahuiyule · 3,4585 posts🍉吃瓜🍉 搞笑🍉 新闻
@chiguagaoxiaoxinwen · 15,6644 posts【182体育】官网招商
@DLHY182TY · 7364 posts🏆182体育🏆官网福利
@vip182ty888 · 9,9864 posts182体育 精准赛事推荐、nba篮球、足球|世界杯
@VIP182TYTJ · 3,5424 posts体育竞彩-足球篮球
@GQ148 · 1,6603 posts吃瓜群众184出轨捉奸抓小三
@CG184 · 2,5991 post吃瓜群众348头条新闻大事件
@CG348 · 46,9671 post
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜群众12316猎奇新闻视频” (@CG12316), 152,383 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/CG12316.
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.