Channel
@DYCGJX
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,276subscribers
+3 since we began measuring on 24 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001880515062 |
|---|---|
| Type | Channel |
| Username | @DYCGJX |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 24 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/DYCGJX |
Memes & entertainment — 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 61% 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 |
|---|---|---|
| 16 Sept 2026, 08:22 | 8,276 | -124 |
| 12 Sept 2026, 19:37 | 8,400 | +47 |
| 9 Sept 2026, 05:42 | 8,353 | -86 |
| 4 Sept 2026, 05:17 | 8,439 | +31 |
| 31 Aug 2026, 14:04 | 8,408 | +40 |
| 28 Aug 2026, 11:54 | 8,368 | +70 |
| 25 Aug 2026, 04:38 | 8,298 | +25 |
| 24 Aug 2026, 07:15 | 8,273 | first reading |
34 posts held, back to 23 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 7 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 10 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 34 (23 August 2026 – 28 August 2026) |
| Views total | 7,893 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 17:47 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.
Measured directly from 19 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.
23 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 39.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 9 | 39.1% | |
| ❤ | 7 | 30.4% | |
| 🔥 | 5 | 21.7% | |
| 👏 | 1 | 4.35% | |
| 🥰 | 1 | 4.35% |
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 10 of the 34 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 23 August 2026 to 28 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.
#频道互推 #相似推荐 ------------------------------ 📢 妈妈 母子 乱伦 新闻 📢 吃瓜娱乐资讯🔥 @SSBYQ 📢 东南亚吃瓜悬赏令 📢 东南亚曝光新闻 📢 东南亚新事件-新闻.曝光 📢 Ⓜ麻豆国产剧情看片 📢 东南亚中文吃瓜事件【大曝光】 📢 【柬埔寨】新闻吃瓜 📢 大事件曝光/华人资讯 📢 东南亚华人新闻大曝光 ------------------------------ ☁️ 互推入口：@sooo
#抖音网红 #荣哥 #梁青荣 贵州凯里抖音网红梁青荣（网名荣哥，粉丝27.8万）平时以90后慈善家、中国国际救援中心宣传部部长自居，主页常发荣誉证书、爱心企业家聘书和公益形象大使照片。正牌女友直接曝光其出轨行为，聊天记录中一句“我累了你赢了”被视作摆烂逃避。随后大量私密照片与视频流出，引发广泛讨论。
车内情况引关注 车内出现了异常情况，这么大动作真是少见。
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。
👍1
#海安曲塘 #三人同框 #抖音 #网红 #三观炸裂 江苏海安曲塘这瓜直接把全网三观干碎！ 两名高颜值网红闺蜜，表面上姐妹情深、亲密无间，私下却心甘情愿共享同一个男友。 三人经常同框出游、亲密互动，还在社交平台隐晦秀恩爱，毫无底线可言。 更离谱的是，直播中两人频频暗讽、争风吃醋，虚伪面目暴露无遗。 男子坐享齐人之福，两女却甘愿共侍，关系荒唐到让人脊背发凉。 据知情网友爆料，她们彼此完全知晓对方的存在，却和平共处，时常三人一同出游、亲密互动，甚至在社交平台隐晦秀恩爱。
🥰1
#频道互推 #相似推荐 ------------------------------ 📢 妈妈 母子 乱伦 新闻 📢 吃瓜娱乐资讯🔥 @SSBYQ 📢 东南亚吃瓜悬赏令 📢 东南亚曝光新闻 📢 东南亚新事件-新闻.曝光 📢 Ⓜ麻豆国产剧情看片 📢 东南亚中文吃瓜事件【大曝光】 📢 【柬埔寨】新闻吃瓜 📢 粉圈大事件 📢 大事件曝光/华人资讯 ------------------------------ ☁️ 互推入口：@sooo
SOSO 搜搜 把 Telegram 搜索和发现放在一个入口。 想继续找频道、群组、帖子或贴纸，直接输入关键词。 也可以从发现页继续浏览同类入口。
包贝尔疑似出轨事件引关注 有消息称包贝尔疑似出轨，相关视频由狗仔刘大锤曝光，显示他与一位美女进入同一房间。
印度糖厂发生事故 在印度北方邦，年轻的Danish和大约15个同伴前往马哈拉施特拉邦一所糖厂工作，为了偿还家庭的7万卢比债务。在准备产品时，他因吸入有毒气体感到头晕，不慎失去平衡，掉进了正在沸腾的糖锅中。
关注婚礼文明 婚礼中出现的低俗闹事行为引发关注，希望大家能文明庆祝。
玉林南流江警民合力救人 玉林南流江，许多人在压力之下似乎难以承受，报警和警察一起救助了落水者。
邢台酒后男子拦车事件 在河北邢台新兴街北头，有一名男子酒后拦车的情况发生。
Showing the 12 most recent of 34 posts we hold for @DYCGJX. 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.
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“抖音吃瓜|实时分享全网热门吃瓜” (@DYCGJX), 8,276 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/DYCGJX.
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.