Official Robin Monotti + Cory Morningstar
Donations:
robinmonotti.substack.com/
www.patreon.com/CoryMorningstar
Group is @robinmggroup
We don't DM from this channel account.
Rule: Be polite & respectful.
Created
27 November 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Politics & activism — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 86% 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
16 measurements spanning 15 days, net -421. 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 68,767–69,314 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
21 Aug 2026, 10:27
68,830
-22
20 Aug 2026, 13:05
68,852
-25
19 Aug 2026, 16:34
68,877
-40
18 Aug 2026, 17:27
68,917
-12
17 Aug 2026, 20:04
68,929
-35
16 Aug 2026, 22:06
68,964
-44
15 Aug 2026, 15:57
69,008
-46
14 Aug 2026, 00:44
69,054
-44
12 Aug 2026, 19:43
69,098
-27
11 Aug 2026, 16:56
69,125
-22
10 Aug 2026, 20:21
69,147
-27
9 Aug 2026, 21:21
69,174
-25
8 Aug 2026, 20:31
69,199
-4
7 Aug 2026, 18:07
69,203
-39
6 Aug 2026, 20:22
69,242
-9
6 Aug 2026, 09:46
69,251
first reading
Engagement
106 posts held, back to 2 August 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 35 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.43%
avg views ÷ 68,830 subscribers
Avg views / post
4,430
106 posts measured
Reaction rate
1.56%
reactions ÷ views · ER floor
Posts in window
106
of 106 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 22 August 2026
Posts held
106 (2 August 2026 – 22 August 2026)
Views total
469,250
Reactions total
7,313
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Aug 2026, 12:49 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
≈15,600
Videos
≈8,660
Links
≈29,800
Lifetime counters from Telegram’s own channel header, read 22 August 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.
Video runtime
42m 45s
Average length
2m 15s
Measured directly from 19 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
7,313 reactions across 106 posts, in 38 distinct kinds. The most used accounts for 20.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
1,519
20.8%
👍
1,045
14.3%
🤬
837
11.4%
❤
819
11.2%
👏
732
10.0%
🤮
548
7.49%
🙏
446
6.10%
🔥
406
5.55%
🤔
166
2.27%
👀
86
1.18%
🤯
84
1.15%
😢
77
1.05%
🤪
74
1.01%
🤣
61
0.834%
😡
55
0.752%
😁
42
0.574%
✍
40
0.547%
🫡
36
0.492%
🎉
29
0.397%
🤷♂
29
0.397%
18 further kinds
182
2.49%
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 106 of the 106 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 7,313reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 106 most recent posts we hold, published 2 August 2026 to 22 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.
WHO top scientist was 'collaborator' of Peter Daszak
"Jeremy Farrar — chief scientific officer of the World Health Organization and a central figure in efforts to suppress speculation about a possible lab origin of COVID-19 — collaborated on a viral discovery project in Southeast Asia involving Peter Daszak, a scientist at the center of that speculation, according to grant documents.
A 2010 National Institutes of H…
Is anybody asking the question of why British scientists were conspiring with US officials to hide man's role in the creation & release of the SARSCoV2 virus?
'Court documents reveal emails between a senior US health official and British scientist Peter Daszak, including plans to work “behind the scenes” to counter the theory that Covid leaked from a Wuhan laboratory.
Daszak also sent the official wine, thanking hi…
DOCTORS ARE BAFFLED! 💸
What mRNA experimental injection was introduced in the general population in 2021 that may be causing this?
How much were doctors paid per injection to ignore safety concerns and administer it?
📱 ROBINMG
UK experts helped shut down Covid lab leak theory - weeks after being told it might be true
Sir Patrick Vallance among scientists behind paper that stifled debate into the origins of the virus
"Top scientists including Sir Patrick Vallance were warned that Covid-19 could have evolved in laboratory animals, but collaborated in a paper which shut down the lab leak theory, it has emerged.
The paper, “The proximal ori…
A primer here prepared by my colleague, friend and talented creative brain, Ella Smart, summarising the UK nexus to Proximal Origins, via Wellcome, Farrar, Rambaut, SAGE. The questions raised are serious, unaccounted for and have been completely sidestepped by the UK's £200m plus Covid Inquiry and its army of 150+ lawyers. With the sole exception of coverage from Sarah Knapton in The Telegraph (link below), the issue…
New from modern uk ... the money behind Burnham:
Andy Burnham has finally told us who his donors are, and he certainly hasn’t shied away from big business or the Israeli lobby.
Let’s get one thing straight - Burnham doesn’t NEED this money, no politician needs anywhere near >£300,000 to run an uncontested leadership campaign. So why did he receive this money? Draw your own conclusions.
#ukpolitics #andyburnham #lob…
"A British zoologist involved in risky bat coronavirus experiments in Wuhan is accused of plotting with a senior US health official to shut down the theory that Covid-19 leaked from a lab.
Dr Peter Daszak, the former president of EcoHealth Alliance, sent bottles of wine to David Morens, thanking him for his “behind the scenes shenanigans” and promising further gifts, such as dinners at Michelin-starred restaurants, …
RAND PAUL: Fauci confidante, Jeremy Farrar, privately worried that COVID came from Wuhan Lab while publicly conspiring with Fauci to argue that the virus came from nature.
https://t.co/v7Gw6l2bWJ
📱 ROBINMG
House Oversight accuses Becerra of hiding Fauci's COVID diary and phone |
Fauci scandal grows as top House committee accuses Biden Cabinet official of hiding COVID diary
Chairman James Comer places blame on former HHS Secretary Xavier Becerra for failing to produce pandemic-era records
https://www.foxnews.com/politics/fauci-scandal-grows-top-house-committee-accuses-california-governor-hopeful-hiding-covid-diary
📱…
People are going to jail in the US for this.
In the UK? Nothing.
Where is the political will for justice for the Covid crimes?
t.me/robinmg/47190
📱 ROBINMG
🙏29💯18❤8🔥2
Showing the 12 most recent of 106 posts we hold for @robinmg. 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
@robinmg 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 August 2026
Most recent edit
15 August 2026
Citation-graph rank
Citation-graph rank — 11,589 of 1,583,249entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 85 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Independent Medical Alliance @IMA_Health · 32,186#90
Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Robert W Malone, MD @RWMaloneMD · 107,012 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 15 August 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺 @ReinerFuellmichEnglish · 85,854 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 18 August 2026
Stew Peters ✝️🇺🇸 @stewpeters · 139,343 Telegram ranks this channel #12 of 73 here — alongside 72 others — read 13 August 2026
LauraAboli @LauraAbolichannel · 170,149 Telegram ranks this channel #13 of 77 here — alongside 76 others — read 12 August 2026
Just a Dude 😎 @JustDudeChannel · 64,148 Telegram ranks this channel #14 of 67 here — alongside 66 others — read 21 August 2026
Covid Truth Network @covidtruthnet · 59,818 Telegram ranks this channel #17 of 83 here — alongside 82 others — read 22 August 2026
Dr Jane Ruby @DrJaneRuby · 59,485 Telegram ranks this channel #34 of 81 here — alongside 80 others — read 22 August 2026
Project Veritas @project_veritas · 210,322 Telegram ranks this channel #47 of 87 here — alongside 86 others — read 11 August 2026
David Avocado Wolfe @davidavocadowolfe · 104,358 Telegram ranks this channel #48 of 69 here — alongside 68 others — read 15 August 2026
Health Ranger @RealHealthRanger · 64,168 Telegram ranks this channel #49 of 82 here — alongside 81 others — read 21 August 2026
The Vigilant Fox 🦊 @VigilantFox · 121,601 Telegram ranks this channel #53 of 83 here — alongside 82 others — read 14 August 2026
STRANGER THAN FICTION NEWS @stfn_news · 63,719 Telegram ranks this channel #54 of 73 here — alongside 72 others — read 21 August 2026
Dr. Tenpenny @DrTenpenny · 90,302 Telegram ranks this channel #54 of 82 here — alongside 81 others — read 17 August 2026
KanekoaTheGreat @KanekoaTheGreat · 119,004 Telegram ranks this channel #60 of 80 here — alongside 79 others — read 14 August 2026
World Doctors Alliance @worlddoctorsalliance · 77,199 Telegram ranks this channel #64 of 88 here — alongside 87 others — read 19 August 2026
Dr. Simone Gold @DrSimoneGold · 82,813 Telegram ranks this channel #66 of 89 here — alongside 88 others — read 18 August 2026
This channel appears in 16 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 21 August 2026 — this
entry's latest reading, not the date you are reading this.
“Robin Monotti” (@robinmg), 68,830 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/robinmg.
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.