#吃瓜 #奥迪 #冷白 菜做的好不好吃不知道, 但是做菜的过程非常具有观赏性

Channel
吃瓜新闻 搞笑视频 内涵段子 吃瓜群众
@cocog888
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
26,771subscribers
+17,153 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 | -1003888339486 |
|---|---|
| Type | Channel |
| Username | @cocog888 |
| Created | Between 1 February 2026 and 30 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/cocog888 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 07:57 | 26,771 | +520 |
| 3 Sept 2026, 13:56 | 26,251 | +490 |
| 2 Sept 2026, 10:34 | 25,761 | +490 |
| 1 Sept 2026, 11:18 | 25,271 | +211 |
| 31 Aug 2026, 14:25 | 25,060 | +456 |
| 30 Aug 2026, 13:54 | 24,604 | +31 |
| 29 Aug 2026, 14:03 | 24,573 | -123 |
| 28 Aug 2026, 15:55 | 24,696 | +270 |
| 27 Aug 2026, 14:34 | 24,426 | +5 |
| 26 Aug 2026, 14:48 | 24,421 | +93 |
| 25 Aug 2026, 15:38 | 24,328 | +536 |
| 24 Aug 2026, 15:03 | 23,792 | +1,060 |
| 22 Aug 2026, 21:34 | 22,732 | +1,608 |
| 21 Aug 2026, 09:36 | 21,124 | +1,069 |
| 20 Aug 2026, 11:48 | 20,055 | +536 |
| 19 Aug 2026, 13:23 | 19,519 | +1,066 |
| 18 Aug 2026, 16:33 | 18,453 | +1,402 |
| 17 Aug 2026, 15:08 | 17,051 | +526 |
| 16 Aug 2026, 08:46 | 16,525 | +1,626 |
| 14 Aug 2026, 20:23 | 14,899 | first reading |
Engagement
497 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 54 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.27%
- avg views ÷ 26,771 subscribers
- Avg views / post
- 339
- 476 posts measured
- Reaction rate
- 0.302%
- reactions ÷ views · ER floor
- Posts in window
- 476
- of 497 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 64 of 476 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 497 (6 August 2026 – 3 September 2026) |
| Views total | 161,524 |
| Reactions total | 68 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 11:47 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
- 3h 14m
- Average length
- 25s
Measured directly from 458 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
71 reactions across 62 posts, in 7 distinct kinds. The most used accounts for 47.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 34 | 47.9% | |
| ❤ | 30 | 42.3% | |
| 👏 | 2 | 2.82% | |
| 🔥 | 2 | 2.82% | |
| 😁 | 1 | 1.41% | |
| 🤣 | 1 | 1.41% | |
| 🥰 | 1 | 1.41% |
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 67 of the 497 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 71 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 497 most recent posts we hold, published 6 August 2026 to 3 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.
Recent posts
#吃瓜 #奥迪 #擦边 这礼物没有停过,果然还是要给福利给兄弟们才行 关注内涵段子: @cocog888 💵广告投放: @TG_G001
#吃瓜 #陪酒 #美女 碰到了大哥 妹子赚钱还是挺容易的,这种酒越喝越有劲
#吃瓜 #户外 #露出 一路闪电带火花,这是受了多大的委屈,社交圈基本废了
📢 黑洞加速|新用户免费体验 需要稳定使用 ChatGPT、Claude、YouTube、TikTok、X 等海外平台?现在注册即可免费领取体验套餐,满意后再充值使用。 ✅ 高质量网络节点,低至30元/月 ✅ 多地区节点,满足不同使用需求 ✅ 支持 Windows / Mac / Android / iPhone ✅ 适用于AI工具、视频、社交及日常网络需求 ✅ 新用户注册可领取免费体验套餐 ✅ 7×24小时人工客服支持 👇 立即注册:https://tgz.heidong.cyou/i/xhnyErHy 📣 官方频道:@heidongjiasu_Vpn01 🎁 黑洞官方福利群:https://t.me/HDJS1 💬 客服:@hdjsvpn1
有钱就是好啊,老牛吃嫩草
#吃瓜 #鞭炮 #炸b 互联网这碗饭 不是谁都能吃的, 没点东西砸赚钱
小姐姐奶子真不错 #大奶 关注内涵段子: @cocog888 💵广告投放: @TG_G001
#直播露点 #擦边 #走光 #故意露出 女主播直播时不小心露出胸口,姿态撩人,吸引众多关注~
话术素材岛 提供
#频道互推 #相似推荐 ------------------------------ 📢 妈妈 母子 乱伦 新闻 📢 缅北老街吃瓜中心 📢 吃瓜娱乐资讯🔥 @SSBYQ 📢 缅甸缅北吃瓜新闻曝光 📢 东南亚华人曝光 📢 东南亚曝光新闻 📢 东南亚新事件-新闻.曝光 📢 东南亚中文吃瓜事件【大曝光】 📢 悲欢离合 封号/号商/解封/舆情 📢 柬埔寨零距离 ------------------------------ ☁️ 互推入口:@souso
刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。
Showing the 12 most recent of 497 posts we hold for @cocog888. 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 4 registered channels — 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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜新闻 搞笑视频 内涵段子 吃瓜群众” (@cocog888), 26,771 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/cocog888.
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.