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 why it has no browse page of its own yet.
Growth
14 measurements spanning 43 days, net -79. 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 8,615–8,718 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
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
-4
20 Aug 2026, 03:48
8,671
-6
17 Aug 2026, 11:58
8,677
-14
13 Aug 2026, 18:26
8,691
-11
11 Aug 2026, 00:24
8,702
-1
7 Aug 2026, 13:43
8,703
-3
7 Aug 2026, 01:16
8,706
first reading
Engagement
105 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 28 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.74%
avg views ÷ 8,627 subscribers
Avg views / post
409
30 posts measured
Reaction rate
1.87%
reactions ÷ views · ER floor
Posts in window
30
of 105 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 28 of 30 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 28 August 2026
Posts held
105 (30 July 2026 – 28 August 2026)
Views total
12,274
Reactions total
227
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 16:37 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
822 reactions across 101 posts, in 32 distinct kinds. The most used accounts for 22.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
181
22.0%
😈
90
10.9%
❤
78
9.49%
🤬
77
9.37%
💯
73
8.88%
🤡
48
5.84%
👏
35
4.26%
😁
31
3.77%
👎
30
3.65%
🔥
26
3.16%
🤯
20
2.43%
🤣
19
2.31%
🖕
18
2.19%
🤔
16
1.95%
🤪
13
1.58%
💩
11
1.34%
🙏
11
1.34%
🤮
7
0.852%
🤷♂
7
0.852%
👻
6
0.73%
12 further kinds
25
3.04%
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 102 of the 105 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 822 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 105 most recent posts we hold, published 30 July 2026 to 28 August 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.
Statins and Memory Loss: Mainstream Media Ignores Study Linking America’s Most-Prescribed Drug to Amnesia
A new study examining 20 years of reports submitted to the U.S. Food and Drug Administration (FDA) has found an association between amnesia and four widely used cholesterol-lowering statin drugs, including atorvastatin, the most commonly prescribed drug in America. The finding comes 14 years after the FDA first …
Hoping for Smooth Sailing with the Sea Gulls and Thoreau
It is very hard to put all America behind you when the fog of endless propaganda wars invades your mind and tries to crush your spirit even when you look away as far as the eye can see.
Read here: https://www.globalresearch.ca/hoping-smooth-sailing-sea-gulls-thoreau/5938259
Why is the Word Metohija “Verboten” in Kosovo?
Last month, in July 2026, Serbian artist Milan Vasić was invited to give a concert in Prizren, a town in occupied Kosovo whose historical significance stretches back to the Serbian middle ages. Prizren was the capital of the Serbian kingdom before it was overrun by the Ottoman Turks in the 15th century. The occasion for the festivity was the local Orthodox monastery of …
The Nuclear Regulatory Commission: Bringing Cancer Potential to a Community Near You
The Nuclear Regulatory Commission, or NRC, whose mission is to protect public health and safety regarding nuclear energy, has now transformed into an agency, as so many have under the current administration, to support the nuclear industry and its billionaire backers.
Read here: https://www.globalresearch.ca/nuclear-regulatory-comm…
Is Russia Under Putin An Example of Self-Defeat?
Since 2014 I have been puzzled by the absence of a Russian foreign policy strategy.
The Kremlin had the carrot–diplomacy–but no stick, the absence of which made the diplomacy ineffective. If the diplomacy failed, there was no backup plan.
Read here: https://www.globalresearch.ca/russia-under-putin-example-self-defeat/5938205
If NASA Went to the Moon Six Times, Why Is Going Back So Difficult
If the United States really possessed a reliable capability to land human beings on the Moon more than half a century ago, why has returning there proved so extraordinarily difficult?
Read here: https://www.globalresearch.ca/if-nasa-went-moon-six-times-why-going-back-difficult/5938172
First Nations in Canada. “Genocidal Reverberations.” The Historical Spillover of Indigenous and Colonial Histories
Throughout Canada, the spillover effects of colonialism continue to be experienced. In the west coast city colonially designated as Victoria,1 named after an imperialist queen who never set foot in the city, a political reckoning is underway to return pockets of land to the Songhees.
The return is be…
Purgatorial Ethics: Sudan, the UAE and Australia’s Arms Trade
Reprehensible as it is, the arms trade is an exercise of purgatorial ethics pursued by all states keen on having a market for the merchants of death: from the perspective of countries and those who represent them, it’s a matter of cold business and hot transactions. The principles (how the arms will be used, how many innocents will be butchered) can go an…
US-Canada Tensions Escalating
Canadian authorities plan retaliation against Trump's trade war measures.
Read here: https://www.globalresearch.ca/us-canada-tensions-escalating/5938092
West Papua: Protesters Shot in Police Crackdown on Demonstrations
Protests across West Papua on August 15 marked 64 years since a United States-brokered deal between the Netherlands and Indonesia robbed West Papuans of their right to self determination.
The 1962 New York Agreement brought the former Dutch colony under Indonesian control.
Read here: https://www.asia-pacificresearch.com/west-papua-protesters-shot-po…
The Completely Privatized World of the Oligarchs. “The Strait of Trump”, “The Lake of America”
Only a few people realize that we are currently undergoing a transformation of historic proportions. Those who do not wake up now will find themselves as serfs in a techno-feudal reality.
Read here: https://www.globalresearch.ca/completely-privatized-world-oligarchs/5938085
Judge Desmond Fagan’s Damning Verdict: Vandalism and Antisemitism in Australia
The term “antisemitism” is now so commonly used as an accusation as to be placed beyond questioning.
This is particularly so in countries claiming some protections for free speech or lawful assembly.
Read here: https://www.globalresearch.ca/judge-desmond-fagan-damning-verdict-vandalism-antisemitism-australia/5938054
❤1👍1🖕1
Showing the 12 most recent of 105 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 · 27,989 Telegram ranks this channel #6 of 83 here — alongside 82 others — read 10 September 2026
Dr Mike Yeadon solo channel @DrMikeYeadonsolochannel · 26,014 Telegram ranks this channel #13 of 89 here — alongside 88 others — read 13 September 2026
Robin Monotti @robinmg · 68,021 Telegram ranks this channel #13 of 90 here — alongside 89 others — read 20 August 2026
Children’s Health Defense @childrenshd · 53,485 Telegram ranks this channel #22 of 91 here — alongside 90 others — read 24 August 2026
World Doctors Alliance @worlddoctorsalliance · 76,344 Telegram ranks this channel #24 of 88 here — alongside 87 others — read 19 August 2026
Wide Awake Media - Official Channel @realwideawakemedia · 37,273 Telegram ranks this channel #28 of 84 here — alongside 83 others — read 1 September 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺 @ReinerFuellmichEnglish · 84,909 Telegram ranks this channel #29 of 91 here — alongside 90 others — read 18 August 2026
World Council for Health @wch_org · 34,705 Telegram ranks this channel #33 of 87 here — alongside 86 others — read 2 September 2026
Dr Mike Yeadon @DrMikeYeadon · 27,285 Telegram ranks this channel #34 of 87 here — alongside 86 others — read 11 September 2026
Christine Anderson, MdEP (AfD) @christineanderson · 35,564 Telegram ranks this channel #39 of 86 here — alongside 85 others — read 2 September 2026
This channel appears in 10 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Global Research” (@gr_crg), 8,627 subscribers as measured 19 September 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.