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 9 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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
65 measurements spanning 97 days, net -6,006. 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 53,426–61,234 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
12 Nov 2026, 16:56
54,327
-100
10 Nov 2026, 09:37
54,427
-124
8 Nov 2026, 23:50
54,551
-44
7 Nov 2026, 19:49
54,595
-83
6 Nov 2026, 17:36
54,678
-88
5 Nov 2026, 14:16
54,766
-47
4 Nov 2026, 17:35
54,813
-84
3 Nov 2026, 20:08
54,897
-110
2 Nov 2026, 18:21
55,007
-45
1 Nov 2026, 19:48
55,052
-67
31 Oct 2026, 17:54
55,119
-68
30 Oct 2026, 16:54
55,187
-79
29 Oct 2026, 18:30
55,266
-67
28 Oct 2026, 17:57
55,333
-59
27 Oct 2026, 20:00
55,392
-76
26 Oct 2026, 22:20
55,468
-63
25 Oct 2026, 23:36
55,531
-38
25 Oct 2026, 00:31
55,569
-66
24 Oct 2026, 00:49
55,635
-71
22 Oct 2026, 23:09
55,706
first reading
Engagement
38 posts held, back to 22 May 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 199 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.434%
avg views ÷ 54,327 subscribers
Avg views / post
236
5 posts measured
Reaction rate
2.54%
reactions ÷ views · ER floor
Posts in window
5
of 38 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 12 November 2026
Posts held
38 (22 May 2026 – 12 November 2026)
Views total
1,179
Reactions total
30
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 23:21 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
255
Videos
78
Links
364
Lifetime counters from Telegram’s own channel header, read 13 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
11m 27s
Average length
1m 09s
Measured directly from 10 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
230 reactions across 38 posts, in 3 distinct kinds. The most used accounts for 82.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
190
82.6%
🔥
38
16.5%
👏
2
0.87%
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 38 of the 38 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 230 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 22 May 2026 to 12 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: 0 of 5 posts held from the last 30 days (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).
Tokenised assets in Dubai are moving from conference panels into products residents can buy, so we’re hearing this question more often.
The word “token” tends to borrow its reputation from cryptocurrency, yet a tokenised bond carries the risks of the bond itself.
If you’ve been offered something tokenised and want a second view, we’re glad to look at it with you.
Tweet: https://x.com/WelfFinance/status/2120824378…
Dubai’s tokenised sukuk and funds are part of a wider shift. In October, the US depository for US$114tn of securities launched a tokenisation service.
Read the full article: https://www.welf.com/insight/tokenised-assets-in-dubai
Tweet: https://x.com/WelfFinance/status/2119766905234108850?a=acricsSzWCpHU16BYkc&s=20
A pattern we notice in reviews: the holdings that fail this test are rarely the famous names, they're the forgotten mid-sized positions nobody has re-examined in years.
When did your portfolio last face a full re-underwriting rather than a rebalance?
Tweet:
https://x.com/WelfFinance/status/2117547684999647537?a=-4oMCnt6julPMTY1H_I&s=20
A digital asset held in a personal wallet, under a personal name, with no documented succession, is a position that lives and dies with one person.
Held through the right structure, with qualified custody and a clear transfer path, it is an asset like any other. Same holding. Very different outcome.
Engage on X: https://x.com/welffinance/status/2110998930863394937?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
Most digital asset losses we see were not caused by the market.
They were operational: a key held by one person, an exchange used as a custodian, a transfer with no second approval.
The infrastructure around a position is part of the position.
Engage on X: https://x.com/welffinance/status/2110757118181597220?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
→ welf.com.
What the position is worth matters less than what happens to the rest of the portfolio when it moves.
Correlation in a drawdown, liquidity under stress, and the exit path on a bad day: that is where a digital asset allocation is actually tested.
Engage and follow us on X: https://x.com/welffinance/status/2108101841250930803?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
Three things change when an asset is tokenized: how ownership is recorded, how quickly it settles, and who can access it.
Three things do not: the underlying asset, the legal claim, and the investor's duty to understand both.
Keep the two lists separate and most of the noise disappears.
Engage on X: https://x.com/welffinance/status/2107859164756066713?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
Setting an allocation takes one decision. Keeping it takes hundreds.
A documented rebalancing policy, with bands and triggers agreed in advance, is what stops a position from quietly becoming a concentration.
Engage on X: https://x.com/welffinance/status/2104518845683675576?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
🔥 The WELF Engine keeps running: $9,800 more converted into $WELF!
Two fresh conversions just landed: ✅ $5,000 ✅ $4,800
Both fully funded by real revenue from Welf Solutions. No hype, no emissions, just client business flowing straight into the ecosystem.
📈 Total converted since launch: $177,898 That's 379,163 $WELF converted so far.
How it works: every advisory engagement (residency programs, tax planning, wealt…
$WELF is a Top Gainer on CoinMarketCap!
$WELF has secured a spot on today's top gainers list based on 24 hour percentage, up 47.08%, as well as placing on the top gainers list for weekly and monthly percentage!
We keep on building, and we're excited for what's ahead! Thank you for your support as we shape the future of $WELF.
Top Gainers on CoinMarketCap: See The Top Crypto Gainers And Losers Today [Updated] | Coi…
The best time to ask the questions that should precede a digital assets allocation is before a single currency is committed, and there is a free way to test your own answers:
Track the position on paper for a few months and pay attention to how a 40 percent drawdown actually feels. Some come out of that exercise ready to proceed; others decide the asset class isn't for them.
Either way, nothing was at stake while t…
Same underlying assets, new behaviour: settlement in minutes, transferability by design, reporting in real time. When the operational profile of an instrument changes, so does its role in a portfolio.
That is a structuring question, not a technology one.
Visit our website → welf.com.
Engage on X: https://x.com/welffinance/status/2098013855305585006?s=46&t=nY9SaseZoSzzL4HnAF7Fpw
❤5
Showing the 12 most recent of 38 posts we hold for @WelfAnnouncement. 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
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Welf | Announcements Channel” (@WelfAnnouncement), 54,327 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/WelfAnnouncement.
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.