#喷水 #喷尿 女主播 高潮潮吹 漏了 ~😆

Channel
东南亚 吃瓜|看戏| 追踪|围观
@chigua1799
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
1,077subscribers
+615 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003786123750 |
|---|---|
| Type | Channel |
| Username | @chigua1799 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 September 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/chigua1799 |
Topic
Adult — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 |
|---|---|---|
| 17 Sept 2026, 15:20 | 1,077 | +6 |
| 13 Sept 2026, 06:56 | 1,071 | +12 |
| 9 Sept 2026, 00:17 | 1,059 | -1 |
| 7 Sept 2026, 05:22 | 1,060 | no change |
| 3 Sept 2026, 08:16 | 1,060 | +10 |
| 31 Aug 2026, 02:24 | 1,050 | +323 |
| 23 Aug 2026, 14:12 | 727 | +22 |
| 15 Aug 2026, 16:52 | 705 | +243 |
| 7 Aug 2026, 18:46 | 462 | first reading |
Engagement
14 posts held, back to 4 September 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 28.3%
- avg views ÷ 1,077 subscribers
- Avg views / post
- 305
- 14 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 14
- of 14 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.
| Window | Rolling 30 days · latest post in window 7 September 2026 |
|---|---|
| Posts held | 14 (4 September 2026 – 7 September 2026) |
| Views total | 4,274 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Sept 2026, 05:22 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
- 1h 15m
- Average length
- 5m 47s
Measured directly from 13 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.
Recent posts
#空乘 #大四御姐
#群友投稿:最近看到很多中国人欺骗中国人,中国人杀害中国人,中国人绑架中国人的,我想说一句。 请问你的祖宗是中国人吗,或者说是人吗?都是出门在外不求你能互帮互助,但求你别伤害。有时候看着都感觉心疼感觉跟狗咬狗一样。 这些做坏事的中国人,你父母在国内吧,你的妻儿在国内吧或许你想着干了这样的坏事,你不打算回国了,说句难听的在外通过迫害同胞挣几十万几百万美金。 又够你享受多少时日呢,你又能快活多久呢。如此害群之马你可知天外有天人外有人,你死无葬身之地的时候有谁会心疼你,可能都是说死的好吧。 无论你是做什么行业,但求不要迫害同胞,挣自己该挣的钱有哪个丧尽天良的人在东南亚有好下场的,希望在东南亚的同胞反思。 📢 东南亚头条新闻 🔗 频道 @abc03 😘 爆料 @kPI567
#抖音 #大诗瑶 #芷仪G宝
#抖音 #滚滚
#李佳慧 #天津女高
Video, posted without a caption
#网友反馈 金边Heart 酒吧 后台 酒吧跳舞女郎 喝太多酒了 不省人事 旁边这个男人直接捡走了 📢 东南亚头条新闻 🔗 频道 @abc03 😘 爆料 @kPI567
#王欣楠 #江苏白丝兔女郎
吃瓜热点
#陈燕羽 #四川成都职业学院
#王永康 #山东烟台莱州
Showing the 12 most recent of 14 posts we hold for @chigua1799. 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.
Forward network
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 7 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚 吃瓜|看戏| 追踪|围观” (@chigua1799), 1,077 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/chigua1799.
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.