Sports — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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.
Growth
63 measurements spanning 94 days, net -7,076. 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 52,267–61,465 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
9 Nov 2026, 14:05
53,328
-166
8 Nov 2026, 03:01
53,494
-118
6 Nov 2026, 23:55
53,612
-87
6 Nov 2026, 00:30
53,699
-86
5 Nov 2026, 00:17
53,785
-107
3 Nov 2026, 20:56
53,892
-61
2 Nov 2026, 20:39
53,953
-95
1 Nov 2026, 22:10
54,048
-92
31 Oct 2026, 23:46
54,140
-76
31 Oct 2026, 02:41
54,216
-118
29 Oct 2026, 23:49
54,334
-104
28 Oct 2026, 20:40
54,438
-109
27 Oct 2026, 17:18
54,547
-110
26 Oct 2026, 16:44
54,657
-44
25 Oct 2026, 13:51
54,701
-57
24 Oct 2026, 10:34
54,758
-96
23 Oct 2026, 09:06
54,854
-133
22 Oct 2026, 08:46
54,987
-95
20 Oct 2026, 22:48
55,082
-104
19 Oct 2026, 22:31
55,186
first reading
Engagement
25 posts held, back to 26 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 191 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.73%
avg views ÷ 53,328 subscribers
Avg views / post
921
2 posts measured
Reaction rate
2.61%
reactions ÷ views · ER floor
Posts in window
2
of 25 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 2 November 2026
Posts held
25 (26 December 2025 – 2 November 2026)
Views total
1,842
Reactions total
48
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 11:13 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.
Reaction mix
549 reactions across 25 posts, in 15 distinct kinds. The most used accounts for 66.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
367
66.8%
🔥
82
14.9%
🍾
24
4.37%
💯
20
3.64%
🐳
17
3.10%
👏
11
2.00%
🎉
6
1.09%
🏆
6
1.09%
😁
4
0.729%
👍
3
0.546%
🤩
3
0.546%
👌
2
0.364%
😱
2
0.364%
🙏
1
0.182%
🤯
1
0.182%
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 25 of the 25 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 549 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 26 December 2025 to 2 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 2 posts held from the last 30 days (50.0%) 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).
📢 Q&A TOOLING NOW LIVE 📢
As announced with the recent changes to our community channels, questions remain welcome, and the dedicated tooling for them is now live.
Submit your questions here: https://askone.org/r/XU2KWM
How it works:
📌 Questions can be submitted at any time through the link above.
📌 Answers will be published in periodic Q&A posts in this channel, so every answer is on the record and visible to th…
📢 CLOSURE OF OUR COMMUNITY AND DAO CHATS 📢
As part of the new communication strategy outlined in our August group update, we are restructuring how we communicate across our channels.
Effective Today, the community chat and the DAO Members chat will close permanently. All official communication will continue through our announcements channel: https://t.me/officialpropchainannouncements.
If you have not joined it ye…
Oliver Goethe on when to commit, when to hold back, and how split-second decisions get made on the racing track.
Part two of our conversation with the MP Motorsport driver, sponsored by Prop.com: https://x.com/propglobal/status/2090762386206572987?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
Oliver Goethe on how a driver actually prepares for Spa: simulator hours, the physical work, and the mentality it takes to hold form across a long season.
Part one of Prop.com’s conversation with the MP Motorsport driver. Prop.com sits alongside Propchain in the Welfare Group ecosystem, and its F2 sponsorship is putting the brand in front of one of motorsport’s fastest growing audiences.
Watch part one here: https:…
The final part of our conversation with racing superstar, Gabriele Minì.
The F2 championship contender speaks on his long-term goals, the career he is building, and what Prop.com's backing has meant to him this season.
Talent for the long run, not the quick return.
Like and share on X: https://x.com/propglobal/status/2084661252291227788?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
We were proud to be one of the main sponsors of the Internationale GTC Rally during the Nacht van Achtmaal.
From our position alongside the legendary "De Hel" special stage, our guests experienced the rally action up close while enjoying dinner and champagne in the VIP area.
The evening brought together clients, investors and entrepreneurs, giving us the chance to strengthen relationships and make new connections i…
Did you know a Prop.com driver is leading the Formula 2 Championship?
Watch an exclusive interview with Gabriele Miní and Prop.com in the run up to Silverstone below.
https://x.com/propglobal/status/2073734845562290321?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
European Le Mans Series driver, Huub van Eijndhoven, shares what carrying the Prop.com name means to him this season.
https://x.com/propglobal/status/2070136090229403859?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
🇦🇹⛳ Prop.com athlete Wouter de Vries is heading to Austria for the Interwetten Open on the HotelPlanner Tour.
Check out the latest update and show your support 👇
https://x.com/propglobal/status/2065059644125368530
🇳🇱 Wouter de Vries is teeing it up at this week’s KLM Open after securing his place through qualifying.
Competing on home soil at The International, Wouter gets the chance to test himself against a strong DP World Tour field in front of Dutch fans.
Prop.com is proud to be supporting his journey and look forward to following his progress throughout the week.
Hear from Wouter: https://x.com/propglobal/status/2062207…
Introducing the Alpha Series to Prop.com. Weekly episodes exploring where real returns are made in real estate today. First up, Paul Hohenstatt, CIO at Prop.com, speaks about Entry Alpha, and why in today's market the profit is made at purchase, not at exit.
Watch here: https://x.com/propglobal/status/2055268283415134447?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
🐳17❤9👌2👍1🔥1
Showing the 12 most recent of 25 posts we hold for @officialpropchainannouncements. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@officialpropchainannouncements named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@propchainglobal named in 10 posts, 8 August 2026 – 19 August 2026
@propglobal named in 8 posts, 8 August 2026 – 13 August 2026
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Propchain - Announcements” (@officialpropchainannouncements), 53,328 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/officialpropchainannouncements.
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.