【中国网红新加坡“文化输出”翻车:拿娘惹文化当布景,街头挥刀博眼球】8月下旬,中国网红街舞团“弗兰舞团”及领舞“神童童”在新加坡牛车水拍摄短视频,引发争议。 视频中,舞者穿着传统娘惹服饰在餐馆突然热舞,还在街头挥舞刀具道具、横穿马路。当地土生华人团体批评,这种拍法把传统文化当成博流量的背景板,不少当地网友质疑影响公共秩序和交通安全。 涉事餐馆随后回应称,拍摄属于舞者个人行程,并为现场管理疏漏致歉。

Channel
每日24小时吃瓜|猎奇|抖音
@dy933333
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
7,689subscribers
-8,706 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003864743231 |
|---|---|
| Type | Channel |
| Username | @dy933333 |
| 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 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/dy933333 |
Topic
Other / unclassifiable — 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 42% 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 |
|---|---|---|
| 18 Sept 2026, 04:56 | 7,689 | -1,483 |
| 14 Sept 2026, 00:59 | 9,172 | -957 |
| 12 Sept 2026, 08:15 | 10,129 | -531 |
| 10 Sept 2026, 00:41 | 10,660 | -1,422 |
| 6 Sept 2026, 14:19 | 12,082 | -767 |
| 4 Sept 2026, 06:56 | 12,849 | -226 |
| 2 Sept 2026, 17:07 | 13,075 | -172 |
| 1 Sept 2026, 12:43 | 13,247 | -60 |
| 31 Aug 2026, 12:27 | 13,307 | -68 |
| 30 Aug 2026, 15:07 | 13,375 | -111 |
| 29 Aug 2026, 18:05 | 13,486 | -136 |
| 28 Aug 2026, 21:13 | 13,622 | -73 |
| 27 Aug 2026, 21:14 | 13,695 | -4 |
| 26 Aug 2026, 23:05 | 13,699 | -182 |
| 25 Aug 2026, 20:04 | 13,881 | -28 |
| 24 Aug 2026, 22:25 | 13,909 | -198 |
| 23 Aug 2026, 06:14 | 14,107 | -76 |
| 21 Aug 2026, 16:58 | 14,183 | -87 |
| 20 Aug 2026, 12:53 | 14,270 | -138 |
| 19 Aug 2026, 11:27 | 14,408 | first reading |
Engagement
493 posts held, back to 7 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 50 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.112%
- avg views ÷ 7,689 subscribers
- Avg views / post
- 8.6
- 196 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 196
- of 493 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 2 of 196 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 493 (7 August 2026 – 2 September 2026) |
| Views total | 1,688 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:46 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.
What this channel posts
- Video runtime
- 6h 50m
- Average length
- 1m 05s
Measured directly from 378 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
Clash 给央视投广告了?翻墙软件再登央视 8月27日12:07,央视《天下财经》播出“AI大模型竞争白热化 词元价格更普惠算力更稀缺”节目。 节目画面中,出现了翻墙软件 Clash Verge。继此前被央视节目拍到后,Clash Verge 又一次“登上央视”引发热议。
什么意思 ?
#不拉窗帘 大干一场
吉隆港监控拍下的一幕 冰山崩塌洪流袭来,危难降临的最后一刻,这位中国边防民警没有选择自己逃离,而是依旧坚守岗位,指挥现场平民紧急避险、转移至安全区域。 把生的机会留给群众,将危险自己扛下。 他定格在洪流之中,用生命扛起肩上的职责🕯️ 尼泊尔 西藏 #重大事故 #泥石流
京东健康官方人员在直播间骂用户是网络乞丐。 京东健康致歉:已严肃处置涉事人员,将优化活动任务设置。
孙宇晨你太可恶了 你让景甜给你生小孩 一想到你的JB要插到景甜的b里我就难受☹️ 呜呜呜我的女神 #景甜 #代孕 #吃瓜 #娱乐圈
孙宇晨:妈妈! 景甜:牛来!
是好女孩吗 ?
高层 吃鸡 #不拉窗帘 故意都吧 !好邻居啊!
看得出来 这是真憋不住了 #马路是我家 #放尿 #不擦屁股
人不是一步疯的,而是一步一步被逼疯的 #感情问题
Showing the 12 most recent of 493 posts we hold for @dy933333. 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 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“每日24小时吃瓜|猎奇|抖音” (@dy933333), 7,689 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/dy933333.
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.