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 41% 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
26 measurements spanning 95 days, net -162. 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 8,520–8,730 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
9 Nov 2026, 16:46
8,544
-1
6 Nov 2026, 03:39
8,545
-3
3 Nov 2026, 03:57
8,548
-7
31 Oct 2026, 02:47
8,555
-2
27 Oct 2026, 19:45
8,557
-10
24 Oct 2026, 12:18
8,567
-4
21 Oct 2026, 14:59
8,571
-14
18 Oct 2026, 20:56
8,585
-3
15 Oct 2026, 22:46
8,588
+4
13 Oct 2026, 02:21
8,584
-10
6 Oct 2026, 08:22
8,594
-17
29 Sept 2026, 14:16
8,611
-16
19 Sept 2026, 12:20
8,627
-9
14 Sept 2026, 19:16
8,636
-4
10 Sept 2026, 21:58
8,640
-12
5 Sept 2026, 22:59
8,652
-6
1 Sept 2026, 20:44
8,658
-4
30 Aug 2026, 01:04
8,662
-6
27 Aug 2026, 07:54
8,668
+1
24 Aug 2026, 04:08
8,667
first reading
Engagement
160 posts held, back to 30 July 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.71%
avg views ÷ 8,544 subscribers
Avg views / post
574
55 posts measured
Reaction rate
1.10%
reactions ÷ views · ER floor
Posts in window
55
of 160 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 53 of 55 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 11 November 2026
Posts held
160 (30 July 2026 – 11 November 2026)
Views total
31,548
Reactions total
341
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 01:07 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
≈9,860
Videos
≈8
Links
≈9,940
Lifetime counters from Telegram’s own channel header, read 12 November 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.
Reaction mix
1,163 reactions across 152 posts, in 35 distinct kinds. The most used accounts for 20.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
234
20.1%
😈
142
12.2%
💯
124
10.7%
🤬
108
9.29%
❤
105
9.03%
👏
60
5.16%
🤡
59
5.07%
👎
50
4.30%
🔥
45
3.87%
😁
34
2.92%
🤔
33
2.84%
🖕
23
1.98%
🤯
22
1.89%
🤣
21
1.81%
🤪
20
1.72%
🙏
17
1.46%
💩
11
0.946%
🤷♂
8
0.688%
🤮
7
0.602%
👻
6
0.516%
15 further kinds
34
2.92%
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 155 of the 160 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 1,163 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 160 most recent posts we hold, published 30 July 2026 to 11 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: 2 of 55 posts held from the last 30 days (3.64%) 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).
“The Great Reset”: “Pushing the Reset Button” in the Wake of the COVID Crisis: Implanting Chips in Human Beings
“What we see is a kind of fusion of the physical, digital and biological world” said WEF Chairman Klaus Schwab
Read here: https://michelchossudovsky.substack.com/p/pushing-reset-button-wake-covid-crisis-implanting-chips-human-beings
Women’s Rights and the Feminisation of Labour: Implications for Global Development
The unequal power relations between men and women are exacerbated by the feminisation of labour in the international political economy.
As a result, Herzfeld argues that there is a continuation of slavery whereby women and girls are victims of forced labour, sexual exploitation, human trafficking and other illicit actions.
Read here…
Obsolete and Overdue: Withdrawing US Forces from the Gulf
Presumptions of friendship and guarantees in international relations are never secure and rarely lasting.
Even when they are given the stamp of firm endurance, a closer look will find greater benefits accruing to one party over the other.
When one needs to persuade a weaker power into surrendering real estate and valuable terrain for the more powerful count…
How to Become the Architect of Your Own Life
Start By Overcoming Self Defeating Habits
Read here: https://www.globalresearch.ca/how-become-architect-your-own-life/5945646
Black Votes and the Blue Wave
All across the South, Southwest, Midwest, West and East Coast the Democratic Party made huge gains setting the stage for a majority within the House of Representatives and Senate. It was the phenomenal turnout among African Americans which turned the tide against the MAGA Republicans
Read here: https://www.globalresearch.ca/black-votes-blue-wave/5945616
The Technocracy Movement and the World Economic Forum
The Technocracy Movement of the 1930’s, dominant in Canada and the USA, appears to have greatly influenced much of the ethos of the World Economic Forum (WEF) manifesting itself in the early 1970’s.
WEF policy has been adopted by many of the world’s major influencing bodies and the close relationship with the United Nations organisations is particularly prescien…
BREAKING: Trump Suggests Territorial Changes in Ukraine
American president seems optimistic about new round of negotiations with Russia.
Read here: https://www.globalresearch.ca/trump-suggests-territorial-changes-ukraine/5945585
Spain’s Social Squeeze: Housing, Public Services, and the Cost of War
Spain faces a complex social dilemma shaped by competing demands and limited resources. At the heart of this debate lies a pressing question: How can Spain demonstrate solidarity with Ukraine amid ongoing conflict, manage migration humanely, and at the same time guarantee affordable housing and reliable public services for its own people?
Read he…
Russia-Africa Summit Signals New Challenge to US Influence
A landmark Russia-Africa cooperation agreement highlights Moscow’s growing diplomatic reach and the intensifying rivalry with Washington. African states are leveraging this competition to pursue greater autonomy in a multipolar world.
Read here: https://www.globalresearch.ca/russia-africa-summit-signals-new-challenge-us-influence/5945492
Europe Faces Hellish Christmas Over Budget, Ukraine and Energy Shortages
European leaders risk spending Christmas with four major political questions still unresolved: agreement on the next seven-year EU budget, a €45 billion financing plan for Ukraine, a replacement for Christine Lagarde as European Central Bank president, and the possible appointment of a representative to negotiate with Russia.
Read here: https:…
Universal Healthcare in America: Its Time Has Come
Now with the mid-term election behind us and a monumental Democrat sweep of the Senate and House, there continues to remain a national media blackout about the horrible state of Americans’ physical and mental health and a broken healthcare system.
It remains the forbidden subject in Washington.
Read here: https://www.globalresearch.ca/universal-healthcare-time-com…
Maybe We Need to Rethink About Humanity
Maybe we need to rethink this place we call reality.
I recall a video I saw many decades ago wherein the photographer took a video of a human and slowly extended the view until their existence was of no importance in the scheme of eternity.
Read here: https://www.globalresearch.ca/maybe-need-rethink-about-humanity/5945428
❤2👍1
Showing the 12 most recent of 160 posts we hold for @gr_crg. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
The Exposé News (Official) @dailyexpose · 27,479 Telegram ranks this channel #6 of 83 here — alongside 82 others — read 10 September 2026
Dr Mike Yeadon solo channel @DrMikeYeadonsolochannel · 25,912 Telegram ranks this channel #13 of 89 here — alongside 88 others — read 13 September 2026
Robin Monotti @robinmg · 66,867 Telegram ranks this channel #13 of 90 here — alongside 89 others — read 20 August 2026
Children’s Health Defense @childrenshd · 52,345 Telegram ranks this channel #22 of 91 here — alongside 90 others — read 24 August 2026
World Doctors Alliance @worlddoctorsalliance · 74,706 Telegram ranks this channel #24 of 88 here — alongside 87 others — read 19 August 2026
Wide Awake Media - Official Channel @realwideawakemedia · 36,427 Telegram ranks this channel #28 of 84 here — alongside 83 others — read 1 September 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺 @ReinerFuellmichEnglish · 83,263 Telegram ranks this channel #29 of 91 here — alongside 90 others — read 18 August 2026
World Council for Health @wch_org · 33,944 Telegram ranks this channel #33 of 87 here — alongside 86 others — read 2 September 2026
Dr Mike Yeadon @DrMikeYeadon · 26,850 Telegram ranks this channel #34 of 87 here — alongside 86 others — read 11 September 2026
Christine Anderson, MdEP (AfD) @christineanderson · 34,931 Telegram ranks this channel #39 of 86 here — alongside 85 others — read 2 September 2026
Child Covid Vaccine Injuries UK @childcovidvaccineinjuriesuk · 18,812 Telegram ranks this channel #41 of 80 here — alongside 79 others — read 3 October 2026
Dr John B. @DrJohnB · 21,069 Telegram ranks this channel #48 of 85 here — alongside 84 others — read 23 September 2026
This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Global Research” (@gr_crg), 8,544 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/gr_crg.
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.