Film & TV — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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
33 measurements spanning 49 days, net +10,227. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 278,290–291,585 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
25 Sept 2026, 06:57
290,051
+1,109
19 Sept 2026, 00:41
288,942
+522
16 Sept 2026, 19:17
288,420
+268
14 Sept 2026, 20:42
288,152
+211
13 Sept 2026, 06:36
287,941
+332
11 Sept 2026, 05:59
287,609
+488
8 Sept 2026, 08:19
287,121
+586
5 Sept 2026, 05:57
286,535
+413
3 Sept 2026, 09:12
286,122
+188
2 Sept 2026, 02:13
285,934
+257
1 Sept 2026, 01:58
285,677
+108
30 Aug 2026, 23:53
285,569
+204
30 Aug 2026, 01:24
285,365
+85
29 Aug 2026, 02:18
285,280
+134
28 Aug 2026, 05:12
285,146
+168
27 Aug 2026, 05:22
284,978
+153
26 Aug 2026, 08:53
284,825
+187
25 Aug 2026, 05:16
284,638
+142
24 Aug 2026, 02:58
284,496
+309
22 Aug 2026, 11:58
284,187
first reading
Engagement
1,144 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 105 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.424%
avg views ÷ 290,051 subscribers
Avg views / post
1,230
705 posts measured
Reaction rate
0.468%
reactions ÷ views · ER floor
Posts in window
705
of 1,144 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 688 of 705 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 25 September 2026
Posts held
1,144 (6 August 2026 – 25 September 2026)
Views total
867,712
Reactions total
3,977
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 20:23 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
≈26,100
Videos
≈439
Links
≈5,010
Lifetime counters from Telegram’s own channel header, read 25 September 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
38m 08s
Average length
52s
Measured directly from 44 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
5,432 reactions across 976 posts, in 19 distinct kinds. The most used accounts for 77.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
4,205
77.4%
❤
932
17.2%
💩
111
2.04%
😡
68
1.25%
😍
38
0.7%
🤡
26
0.479%
🤣
11
0.203%
😱
8
0.147%
👏
6
0.11%
👎
5
0.092%
😁
5
0.092%
🔥
3
0.055%
😭
3
0.055%
🤓
3
0.055%
🫡
3
0.055%
🥰
2
0.037%
🌭
1
0.018%
🎉
1
0.018%
🦄
1
0.018%
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 978 of the 1,000 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 5,432 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 14 August 2026 to 25 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.
片名：书写人生：高中生眼中的埃尔诺 【纪录片】
又名：Writing Life – Annie Ernaux Through The Eyes Of High School Students / You Talk of Ourselves / 昔文今读安妮艾诺(港) / Écrire la vie. Annie Ernaux racontée par des lycéennes et des lycéens
地区：法国
首映：2025-08-27(威尼斯电影节) / 2026-09-23(法国)
主演：安妮·埃尔诺 【导演: 克莱尔·西蒙】
类型：纪录片
简介：玫瑰花蕾影业原本邀请克莱尔·西蒙拍摄一部有关安妮·埃尔诺的肖像纪录片，但最终她没有选择传统的传记片路线，而是决定通过学生如何阅读埃尔诺来间接拍埃尔诺。西蒙后来解释，她特别希望观众真正听到作品文本本身，因为她觉得传统作家传记片中反而很少让文本获得足够空间。于是，克莱尔·西蒙…
👍10
Showing the 12 most recent of 1,144 posts we hold for @Macau_movie. 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
@Macau_movie edited 3 posts 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
8 August 2026
Most recent edit
7 September 2026
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.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Youxiu影视导航🎬” (@Macau_movie), 290,051 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/Macau_movie.
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.
