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Channel

COVID-19 Up

@COVID19Up

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry

25,522subscribers

-1,052 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001259249024
TypeChannel
Username@COVID19Up
Created7 March 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/COVID19Up

Topic

Politics & activism — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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

25,52226,57426,0486 August 20267 November 2026
61 measurements spanning 93 days, net -1,052. 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 25,364–26,732 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
7 Nov 2026, 00:1825,522-27
5 Nov 2026, 21:3025,549-14
5 Nov 2026, 00:3725,563-15
3 Nov 2026, 22:1225,578-18
2 Nov 2026, 20:1625,596-8
1 Nov 2026, 17:2825,604-16
31 Oct 2026, 16:3925,620-2
30 Oct 2026, 17:5525,622-25
29 Oct 2026, 14:4025,647-17
28 Oct 2026, 16:3825,664-15
27 Oct 2026, 14:2625,679-4
26 Oct 2026, 12:2725,683-6
25 Oct 2026, 13:5625,689-13
24 Oct 2026, 15:1925,702-5
23 Oct 2026, 14:3525,707-13
22 Oct 2026, 15:4725,720-15
21 Oct 2026, 11:2625,735-11
20 Oct 2026, 11:5925,746-14
19 Oct 2026, 12:5525,760-11
18 Oct 2026, 14:2125,771first reading

Engagement

76 posts held, back to 29 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 134 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.42%
avg views ÷ 25,522 subscribers
Avg views / post
874
45 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
45
of 76 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
WindowRolling 30 days · latest post in window 6 November 2026
Posts held76 (29 July 2026 – 6 November 2026)
Views total39,320
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 20:42 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

Video runtime
3h 59m
Average length
3m 14s

Measured directly from 74 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 45 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).

6 Nov 2026, 13:01 UTC351 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

Catherine Austin Fitts warns that surveillance-driven AI algorithms will enable central bankers to automatically freeze individual bank accounts based on behaviour, including failure to take specific vaccines. "Rather than the bank stop that transaction, the AI and the algorithm can just stop that transaction... which gives me the ability, based on my surveillance of you and my algorithm for you, to manage your fina…

6 Nov 2026, 10:19 UTC406 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

Dr. Peter McCullough argues that a powerful "biopharmaceutical complex", centred around the WHO, World Economic Forum and Gates Foundation, coordinated the lockstep global Covid response, prioritising mass vaccination over alternative approaches. "The world doesn't agree on anything. Can't agree on currency, can't agree on policy, can't agree on anything. How can they completely agree on this pandemic response?" "E…

5 Nov 2026, 12:16 UTC624 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

According to Tucker Carlson, the Republican midterms disaster can partly be traced to Trump's refusal to release the Epstein files. He argues that the administration's handling of the scandal revealed its connections to the very elites it had promised to expose. Source Follow @RealWideAwakeMedia for more content like this! Merch: https://wideawake.clothing X | YT | IG | Rumble

5 Nov 2026, 12:03 UTC592 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

"They think that Israel should come first." Tucker Carlson says neoconservatives deliberately sabotaged Trump's America First coalition because its principles conflicted with their commitment to Israel. He accuses them of prioritising a foreign government's interests while questioning the patriotism of Americans who objected. Source Follow @RealWideAwakeMedia for more content like this! Merch: https://wideawake.…

5 Nov 2026, 12:01 UTC521 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

"You just watched the spell get broken." Dave Smith says the Republican midterms disaster has shattered the political consensus defending the Iran war. He describes watching prominent conservative commentators finally acknowledge the war's electoral consequences after dismissing his warnings for more than a year. "You can't cover up the Epstein files and launch a war when everyone wanted the opposite." Source Fol…

5 Nov 2026, 10:56 UTC509 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

"It's time to repudiate Donald Trump." Dave Smith argues that Republicans must nominate an anti-war candidate to have any chance of winning in 2028. He maintains that Trump's abandonment of his anti-war coalition destroyed the party's electoral prospects and handed Democrats a decisive victory. Source Follow @RealWideAwakeMedia for more content like this! Merch: https://wideawake.clothing X | YT | IG | Rumble

5 Nov 2026, 10:06 UTC521 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

Tucker Carlson says Donald Trump "chose Israel over the United States", but that his presidency inadvertently revealed the hidden power structures shaping American politics. "We should be thankful for the main thing he did for us, which is to reveal the subterranean architecture of power." "Trump... pulled back the curtain and suddenly we could see how the system actually works." "And it's been horrifying." Sourc…

5 Nov 2026, 09:01 UTC567 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

Former UK PM Liz Truss outlines how the British "deep state" exerts immense unelected power from behind the scenes. She describes how this hidden machinery prevents politicians from enacting change, forcing them to conform to woke ideology or face exclusion from post-office opportunities. "The tentacles of the octopus... prevent politicians from actually doing anything." "Many politicians... come into the House of…

4 Nov 2026, 11:04 UTC784 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

"Republicans broke almost every promise they made." Thomas Massie says he was removed from Congress because he exposed the Republican Party's failure to honour campaign promises. He points to the Epstein files, the pledge to avoid new foreign wars and promises to cut government spending as commitments he tried to enforce through legislation. Source Follow @RealWideAwakeMedia for more content like this! Merch: htt…

4 Nov 2026, 10:28 UTC738 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

Former Democrat Lindy Li says she abandoned her party to support Trump, only to watch his historic political coalition fall apart. She argues the Iran war squandered an extraordinary opportunity and warns that young Americans haven't forgotten the Epstein files. Source Follow @RealWideAwakeMedia for more content like this! Merch: https://wideawake.clothing X | YT | IG | Rumble

4 Nov 2026, 09:31 UTC662 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

"Why are we constantly funding a different nation?" Cenk Uygur says the midterm election results demonstrate that American voters are rejecting politicians who prioritise Israel over their own constituents. He argues that the America First principle is correct and should mean ending foreign wars and funding for Israel. "The American voters should come first. Why are we constantly funding a different nation? Why ar…

4 Nov 2026, 09:04 UTC614 viewsread 6 November 2026
Forwarded from @realwideawakemediaVideo

"It's all the Iran war." Ann Coulter doesn't mince words about the Republican midterms disaster. She argues Trump's Iran war devastated the party, drove up living costs, and handed Democrats a victory. "It's what the polls show. I mean, if people don't say the Iran war specifically, and a lot of them say the Iran war, they say gas prices. They say cost of living." "Well, that's the Iran war." Source Follow @Real…

Showing the 12 most recent of 76 posts we hold for @COVID19Up. 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

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 10 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.

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.

The Vigilant Fox 🦊
@VigilantFox · 118,816
#1
G3 News
@g3news · 6,060
#2
World Council for Health
@wch_org · 34,025
#3
World Doctors Alliance
@worlddoctorsalliance · 74,878
#4
Children’s Health Defense
@childrenshd · 52,477
#5
Robert W Malone, MD
@RWMaloneMD · 103,240
#6
Tucker Carlson
@TuckerCarlsonNetwork · 203,171
#7
Covid Truth Network
@covidtruthnet · 57,553
#8
LauraAboli
@LauraAbolichannel · 165,455
#9
David Avocado Wolfe
@davidavocadowolfe · 101,587
#10
Dr Mike Yeadon solo channel
@DrMikeYeadonsolochannel · 25,917
#11
The Exposé News (Official)
@dailyexpose · 27,519
#12
The Daily Pulse
@TDailyPulse · 11,750
#13
1984 Prevention Team
@prevent1984 · 7,882
#14
The Conscious Resistance
@theconsciousresistance · 6,089
#15
BioClandestine
@bioclandestine · 137,678
#16
Dr. Simon
@goddek · 38,391
#17
Steve Kirsch Channel
@stkirsch · 18,859
#18
Ethical Skeptic
@EthicalSkeptic · 3,215
#19
Dr. Paul Marik
@DrPaulMarik · 9,699
#20
Covid BC (Excess Deaths)
@covidbc · 30,775
#21
Gateway Pundit
@gatewaypunditofficial · 108,321
#22
OffGuardian (official)
@offguardian · 8,543
#23
We The Media
@WeTheMedia · 139,751
#24
COVID VACCINE VICTIMS AND FAMILIES
@covid19vaccinevictims · 37,698
#25
Doctors For Covid Ethics Channel
@Doctorsforcovidethics · 5,480
#26
#TBOT: Take Back Our Tech
@takebackourtech · 10,637
#27
Mikki Willis Official
@OfficialPlandemic · 32,643
#28
Dr. Tenpenny
@DrTenpenny · 87,635
#29
Dr David Martin
@DrDavidMartin · 49,805
#30
The Free Thought Project
@TFTPofficial · 9,310
#31
Wide Awake Media
@wideawakemedia · 26,629
#32
COVID19 VACCINE VICTIMS AND FAMILIES
@COVID19VACCINEVICTIMSANDFAMILIES · 18,016
#33
Peter A. McCullough, MD, MPH™
@PeterMcCulloughMD · 4,471
#34
Derrick Broze's Daily News
@dbrozenews · 7,328
#35
Reclaim The Net
@reclaimthenet · 3,819
#36
Edward Dowd
@Edward_Dowd · 12,235
#37
Health Ranger
@RealHealthRanger · 62,515
#38
Child Covid Vaccine Injuries UK
@childcovidvaccineinjuriesuk · 18,863
#39
Dr Mike Yeadon
@DrMikeYeadon · 26,881
#40
Fearless John - @European_dissident
@European_dissident · 69,295
#41
Expose The Agenda
@ETAgenda · 15,716
#42
𝚁𝚎𝚟𝚎𝚕𝚊𝚝𝚒𝚘𝚗𝚜 𝚊𝚗𝚍 𝚁𝚊𝚋𝚋𝚒𝚝 𝙷𝚘𝚕𝚎𝚜
@Revelations_and_Rabbit_Holes · 24,572
#43
Zeee Media 🎙
@zeeemedia · 53,700
#44
PLANDEMIC 1984
@plandemik1984 · 5,342
#45
Resist the Mainstream
@ResisttheMainstream · 126,421
#46
Dr. Shankara Chetty
@ShankaraChetty · 5,182
#47
Steve Kirsch
@SteveKirsch · 3,500
#48
Disclose.tv
@disclosetv · 317,208
#49
Robin Monotti
@robinmg · 66,964
#50
KanekoaTheGreat
@KanekoaTheGreat · 114,334
#51
Independent Medical Alliance
@IMA_Health · 31,012
#52
Intel Slava
@intelslava · 385,925
#53
/CIG/ Telegram | Counter Intelligence Global
@CIG_telegram · 114,549
#54
Insider Paper
@insiderpaper · 107,904
#55
Sergeant News Network 🇺🇸
@SGTnewsNetwork · 109,736
#56
Project Veritas
@project_veritas · 200,482
#57
Intel Republic
@Intel_Republic12 · 94,517
#58
The General
@GeneralMCNews · 142,505
#59
The Pulse
@thepulseone · 13,401
#60
RealTimeNews™
@dailyrealtimenews · 19,174
#61
Police frequency
@police_frequency · 69,106
#62
Taylor Hudak Media
@taylorhudak · 4,076
#63
Wide Awake Media - Official Channel
@realwideawakemedia · 36,494
#64
Rise of the New Media - Brian Cates
@riseofthenewmedia · 17,864
#65
Just a Dude 😎
@JustDudeChannel · 62,120
#66
Edward Dowd
@EdwardDowdReal · 5,218
#67
STRANGER THAN FICTION NEWS
@stfn_news · 61,996
#68
We Are Change
@News4AChange · 10,074
#69
Geopolitics & Empire
@GeopoliticsAndEmpire · 12,494
#70
Jack Posobiec
@Jack_Posobiec · 114,201
#71
Orwellian Dystopia
@OrwellianDystopia · 14,117
#72
🎧 CJ Onfrab🔊🎼 (Official)
@Onfrabmusic · 47,326
#73
CognitiveCarbon Public
@CognitiveCarbonPublic · 11,087
#74
Publius
@Publius_76 · 5,760
#75
The Awakened Species ☀️
@awakenedspecies · 140,093
#76
ULTRA Pepe Lives Matter 🐸
@PepeMatter · 142,610
#77
Bellum Acta - Intel, Urgent News and Archives ✝️ #FreeVenezuela
@BellumActaNews · 108,208
#78
The End Times
@demacre · 37,938
#79

Read from Telegram’s recommendation API, most recently 13 September 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.

Covid Truth Network
@covidtruthnet · 57,553
Telegram ranks this channel #2 of 83 here — alongside 82 others — read 22 August 2026
World Council for Health
@wch_org · 34,025
Telegram ranks this channel #4 of 87 here — alongside 86 others — read 2 September 2026
Dr. Simon
@goddek · 38,391
Telegram ranks this channel #4 of 87 here — alongside 86 others — read 30 August 2026
Steve Kirsch Channel
@stkirsch · 18,859
Telegram ranks this channel #6 of 88 here — alongside 87 others — read 3 October 2026
Covid Vaccine Injuries
@covid_vaccine_injuries · 24,641
Telegram ranks this channel #12 of 73 here — alongside 72 others — read 14 September 2026
World Doctors Alliance
@worlddoctorsalliance · 74,878
Telegram ranks this channel #12 of 88 here — alongside 87 others — read 19 August 2026
Mikki Willis Official
@OfficialPlandemic · 32,643
Telegram ranks this channel #15 of 85 here — alongside 84 others — read 4 September 2026
Wide Awake Media - Official Channel
@realwideawakemedia · 36,494
Telegram ranks this channel #16 of 84 here — alongside 83 others — read 1 September 2026
Covid BC (Excess Deaths)
@covidbc · 30,775
Telegram ranks this channel #18 of 64 here — alongside 63 others — read 6 September 2026
COVID VACCINE VICTIMS AND FAMILIES
@covid19vaccinevictims · 37,698
Telegram ranks this channel #19 of 69 here — alongside 68 others — read 31 August 2026
Independent Medical Alliance
@IMA_Health · 31,012
Telegram ranks this channel #23 of 89 here — alongside 88 others — read 5 September 2026
The Exposé News (Official)
@dailyexpose · 27,519
Telegram ranks this channel #24 of 83 here — alongside 82 others — read 10 September 2026
Children’s Health Defense
@childrenshd · 52,477
Telegram ranks this channel #24 of 91 here — alongside 90 others — read 24 August 2026
Child Covid Vaccine Injuries UK
@childcovidvaccineinjuriesuk · 18,863
Telegram ranks this channel #30 of 80 here — alongside 79 others — read 3 October 2026
Robert W Malone, MD
@RWMaloneMD · 103,240
Telegram ranks this channel #34 of 89 here — alongside 88 others — read 15 August 2026
Dr Mike Yeadon
@DrMikeYeadon · 26,881
Telegram ranks this channel #35 of 87 here — alongside 86 others — read 11 September 2026
Dr John B.
@DrJohnB · 21,101
Telegram ranks this channel #36 of 85 here — alongside 84 others — read 23 September 2026
Dr Mike Yeadon solo channel
@DrMikeYeadonsolochannel · 25,917
Telegram ranks this channel #36 of 89 here — alongside 88 others — read 13 September 2026
Wide Awake Media
@wideawakemedia · 26,629
Telegram ranks this channel #36 of 76 here — alongside 75 others — read 11 September 2026
Robin Monotti
@robinmg · 66,964
Telegram ranks this channel #67 of 90 here — alongside 89 others — read 20 August 2026
Dr. Mercola
@DoctorMercola · 30,881
Telegram ranks this channel #68 of 77 here — alongside 76 others — read 5 September 2026
Project Veritas
@project_veritas · 200,482
Telegram ranks this channel #74 of 87 here — alongside 86 others — read 11 August 2026
Tracy Beanz
@TracybeanzOfficial · 25,887
Telegram ranks this channel #82 of 84 here — alongside 83 others — read 12 September 2026

This channel appears in 23 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“COVID-19 Up” (@COVID19Up), 25,522 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/COVID19Up.

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.