Gambling & betting — 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 26 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
68,900 average views per post against 98,881 subscribers — an engagement rate of 69.7%. Across the 1,296 registered channels in the same cohort — 31,659–99,809 subscribers, posting mainly in Chinese — the middle half sit between 0.987% and 5.59%, with a median of 2.51%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
13 of 13 published in the window (1 exact, 12 rounded by Telegram)
Views totalled
896,226
Mature posts only
75.5% over 12 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 5 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
50 measurements spanning 83 days, net +92,906. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)
Subscribers
Change
10 Nov 2026, 06:47
94,856
-147
8 Nov 2026, 19:21
95,003
-423
7 Nov 2026, 13:34
95,426
-1,092
6 Nov 2026, 17:06
96,518
-2,009
5 Nov 2026, 13:47
98,527
-354
4 Nov 2026, 16:11
98,881
-702
3 Nov 2026, 17:07
99,583
-1,865
2 Nov 2026, 13:45
101,448
-758
1 Nov 2026, 14:41
102,206
+1,626
31 Oct 2026, 14:39
100,580
+2,401
30 Oct 2026, 15:58
98,179
+9,222
29 Oct 2026, 12:40
88,957
+11,490
28 Oct 2026, 12:31
77,467
+4,210
27 Oct 2026, 14:36
73,257
-2,031
26 Oct 2026, 15:15
75,288
-2,139
25 Oct 2026, 18:46
77,427
-1,391
24 Oct 2026, 19:40
78,818
-3,347
23 Oct 2026, 20:27
82,165
-1,711
22 Oct 2026, 17:49
83,876
-3,748
21 Oct 2026, 13:01
87,624
first reading
Engagement
26 posts held, back to 19 August 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 171 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
78.8%
avg views ÷ 94,856 subscribers
Avg views / post
74,700
12 posts measured
Reaction rate
0.492%
reactions ÷ views · ER floor
Posts in window
13
of 26 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 8 November 2026
Posts held
26 (19 August 2026 – 8 November 2026)
Views total
896,660
Reactions total
4,409
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 12:04 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
15
Videos
2
Links
18
Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
4m 26s
Average length
2m 13s
Measured directly from 2 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
8,769 reactions across 22 posts, in 10 distinct kinds. The most used accounts for 11.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤩
1,046
11.9%
🥰
1,016
11.6%
🎉
1,014
11.6%
🔥
985
11.2%
❤
969
11.1%
👍
964
11.0%
😍
914
10.4%
❤🔥
909
10.4%
💯
881
10.0%
👏
71
0.81%
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 22 of the 26 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 8,769 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 19 August 2026 to 8 November 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
Telegram’s own ‘edited’ marker: 1 of 13 posts held from the last 30 days (7.69%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Showing the 12 most recent of 26 posts we hold for @musendezhou38. 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
@musendezhou38 edited 1 post 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
15 September 2026
Most recent edit
15 September 2026
Posts recorded as deleted after publishing
We recorded 7 posts on @musendezhou38 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
20 August 2026
Most recent seen missing
8 November 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
2
Mentions
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“德州扑克-木森俱乐部” (@musendezhou38), 94,856 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/musendezhou38.
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.
