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Channel

Liz Harrington

@LizHarrington76

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

22,779subscribers

-776 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-1001404077180
TypeChannel
Username@LizHarrington76
DescriptionFan channel dedicated to President Trump’s spokesperson and former RNC national spokesperson Liz Harrington - bringing you original Truths as well as other MAGA-related stuff. This channel is not associated / managed by Liz.
Created15 June 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live30 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 30 September 2026
On Telegramt.me/LizHarrington76

Topic

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@LizHarrington76/7133 · this entry17 Jul 2026, 17:49 UTC@realLizUSA/595317 Jul 2026, 17:52 UTC0.973 minutes
@LizHarrington76/7145 · this entry31 Jul 2026, 14:46 UTC@realLizUSA/595531 Jul 2026, 14:49 UTC0.973 minutes
@LizHarrington76/7134 · this entry17 Jul 2026, 23:37 UTC@realLizUSA/595417 Jul 2026, 23:40 UTC0.963 minutes
@LizHarrington76/7148 · this entry1 Aug 2026, 21:38 UTC@realLizUSA/59581 Aug 2026, 21:41 UTC0.963 minutes
@LizHarrington76/7146 · this entry31 Jul 2026, 15:14 UTC@realLizUSA/595631 Jul 2026, 15:17 UTC0.963 minutes
@LizHarrington76/7150 · this entry5 Aug 2026, 15:51 UTC@realLizUSA/59605 Aug 2026, 15:54 UTC0.943 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@realLizUSA7 (7/7 hand-verifiable sample passed)0.953 minutesthis entry (7–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 17 July 2026 to 5 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @LizHarrington76 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

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.

Growth

22,77923,55523,1676 August 2026 — 23,555 subscribers6 August 2026 — 23,555 subscribers7 August 2026 — 23,549 subscribers8 August 2026 — 23,518 subscribers9 August 2026 — 23,506 subscribers10 August 2026 — 23,495 subscribers11 August 2026 — 23,460 subscribers12 August 2026 — 23,445 subscribers13 August 2026 — 23,439 subscribers14 August 2026 — 23,419 subscribers16 August 2026 — 23,386 subscribers17 August 2026 — 23,370 subscribers18 August 2026 — 23,366 subscribers19 August 2026 — 23,353 subscribers20 August 2026 — 23,333 subscribers22 August 2026 — 23,316 subscribers23 August 2026 — 23,293 subscribers25 August 2026 — 23,275 subscribers26 August 2026 — 23,263 subscribers27 August 2026 — 23,259 subscribers28 August 2026 — 23,245 subscribers29 August 2026 — 23,225 subscribers29 August 2026 — 23,211 subscribers30 August 2026 — 23,202 subscribers31 August 2026 — 23,185 subscribers1 September 2026 — 23,180 subscribers2 September 2026 — 23,167 subscribers4 September 2026 — 23,149 subscribers7 September 2026 — 23,103 subscribers10 September 2026 — 23,062 subscribers12 September 2026 — 23,033 subscribers14 September 2026 — 23,010 subscribers15 September 2026 — 22,979 subscribers18 September 2026 — 22,953 subscribers30 September 2026 — 22,779 subscribers6 August 202630 September 2026
35 measurements spanning 55 days, net -776. 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 22,663–23,671 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
30 Sept 2026, 06:0022,779-174
18 Sept 2026, 06:2022,953-26
15 Sept 2026, 22:5922,979-31
14 Sept 2026, 04:0123,010-23
12 Sept 2026, 12:5823,033-29
10 Sept 2026, 09:4023,062-41
7 Sept 2026, 04:1923,103-46
4 Sept 2026, 10:2023,149-18
2 Sept 2026, 21:2923,167-13
1 Sept 2026, 18:2223,180-5
31 Aug 2026, 20:4523,185-17
30 Aug 2026, 21:4723,202-9
29 Aug 2026, 22:5623,211-14
29 Aug 2026, 01:4723,225-20
28 Aug 2026, 02:3423,245-14
27 Aug 2026, 05:5723,259-4
26 Aug 2026, 03:5923,263-12
25 Aug 2026, 04:0323,275-18
23 Aug 2026, 22:4523,293-23
22 Aug 2026, 07:2823,316first reading

Engagement

39 posts held, back to 17 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 65 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
16.8%
avg views ÷ 22,779 subscribers
Avg views / post
3,840
10 posts measured
Reaction rate
4.84%
reactions ÷ views · ER floor
Posts in window
10
of 39 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 26 September 2026
Posts held39 (17 July 2026 – 26 September 2026)
Views total38,380
Reactions total1,857
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 10:30 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
≈3,600
Videos
≈1,060
Links
≈1,990

Lifetime counters from Telegram’s own channel header, read 30 September 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
45m 47s
Average length
1m 59s

Measured directly from 23 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

6,926 reactions across 39 posts, in 25 distinct kinds. The most used accounts for 45.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯3,11645.0%
👍1,05615.2%
🔥5107.36%
❤4266.15%
👏4065.86%
🙏3314.78%
😁1912.76%
🤣1552.24%
🤬1552.24%
😈1181.70%
🤡1061.53%
😢821.18%
🤔630.91%
🥱570.823%
👎470.679%
🤯290.419%
😡190.274%
🙈170.245%
🤮170.245%
💩90.13%
5 further kinds160.231%

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 39 of the 39 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 6,926 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 17 July 2026 to 26 September 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

26 Sept 2026, 16:34 UTC≈2,010 views77 reactionsread 30 September 2026
Video

Having these awful outfielders (Hinds and Taveras), who shouldn’t even be on the roster, playing is a choice and the reason we’re not in the playoffs. “But they can bat right handed!” (And strike out 100% of the time) https://x.com/JakeDRill/status/2103656471502508111/video/1 @LizHarrington76

🤡44🥱15😁9💯6🔥3

25 Sept 2026, 00:32 UTC≈2,500 views270 reactionsread 30 September 2026
Photo

Terrible news. In honor of Jim, the FBI should release all of its documents related to Butler to the public https://x.com/realLizUSA/status/2103275990021476546/photo/1 @LizHarrington76

🙏169😢51💯27👍14❤8😁1

18 Sept 2026, 01:07 UTC≈4,160 views182 reactionsread 30 September 2026

We deserve the truth — but we’re likely not going to get it from an FBI claiming it’s just another “lone wolf.” They’re just as corrupt as ever https://nypost.com/2026/09/16/opinion/miranda-devine-trump-was-nearly-assassinated-more-than-2-years-ago-we-deserve-the-truth/ @LizHarrington76

💯106👍46❤15🔥6🤔5🤡3👎1

16 Sept 2026, 20:12 UTC≈3,370 views84 reactionsread 30 September 2026
Video

Great question! Answer leaves a lot to be desired https://x.com/RealLindellTV/status/2099942823261040865/video/1 @LizHarrington76

👍51🔥15❤8👎5👀4😴1

15 Sept 2026, 22:28 UTC≈3,380 views208 reactionsread 30 September 2026
Video

Definitely looks like a guy who can talk foreign policy for “just shy of 20 minutes” https://x.com/appodlachia/status/2099648339876729152/video/1 @LizHarrington76

😁98🤡36👎33🙈17🤬13🤯5🤔3🔥2

15 Sept 2026, 18:08 UTC≈3,450 views213 reactionsread 30 September 2026
Photo

If he can’t get answers, who can? That is a major problem. https://x.com/realLizUSA/status/2099914258431525298/photo/1 @LizHarrington76

💯191👍13❤4🙏4🔥1

8 Sept 2026, 22:06 UTC≈3,950 views135 reactionsread 30 September 2026

Notice how all the same people who are against changing a program to include stay at home moms in childcare funding all supported DeSantis in 2024? @LizHarrington76

👍98🤔30🥱5👎2

5 Sept 2026, 22:13 UTC≈4,790 views183 reactionsread 30 September 2026
Photo

This could be a game changer for families with stay at home moms. Please do this! https://x.com/realLizUSA/status/2096359290063733222/photo/1 @LizHarrington76

👏132❤35🤔7👎4🤮4🔥1

4 Sept 2026, 16:48 UTC≈5,680 views255 reactionsread 30 September 2026
Video

Like when they called Arizona for Biden but had not called Ohio for Trump — when he was up by 8 with 94% of the vote in! 😂 https://x.com/reallizusa/status/1419840740809707528/video/1 @LizHarrington76

💯216❤17👍15🥱7

4 Sept 2026, 16:19 UTC≈5,090 views250 reactionsread 30 September 2026
Photo

Fox is never going to cover the most important story in America — our corrupt elections — because they are in on it https://x.com/realLizUSA/status/2095643787724763465/photo/1 @LizHarrington76

💯176👍50🥱10🔥7🤔4😈3

26 Aug 2026, 16:01 UTC≈5,050 views159 reactionsread 30 September 2026
Video

God have mercy on our souls https://x.com/realLizUSA/status/2092620503647232453/video/1 @LizHarrington76

😈102🤬26👍14😢8🔥5❤3🙏1

25 Aug 2026, 18:46 UTC≈4,710 views201 reactionsread 30 September 2026
Photo

💔 https://x.com/realLizUSA/status/2092321757982065127/photo/1 @LizHarrington76

🙏132❤39😢22👀4🤮3😁1

Showing the 12 most recent of 39 posts we hold for @LizHarrington76. 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 14 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.

Donald J. Trump
@real_donaldjtrump · 591,100
#1
Gateway Pundit
@gatewaypunditofficial · 110,404
#2
Charlie Kirk
@CharlieKirk · 151,701
#3
Captain Keshel and Co. American Election Integrity HQ
@ElectionHQ2024 · 69,154
#4
General Flynn ️
@RealGenFlynn · 148,425
#5
BioClandestine
@bioclandestine · 138,712
#6
The Vigilant Fox 🦊
@VigilantFox · 120,265
#7
The Washington Pundit
@TheWashingtonPundit · 5,875
#8
GEORGENEWS
@georgenews · 144,438
#9
BREAKING HEADLINES
@BREAKINGHEADLINES · 67,461
#10
Resist the Mainstream
@ResisttheMainstream · 130,027
#11
TheStormHasArrived17
@TheStormHasArrived17 · 92,725
#12
Donald Trump Jr
@TrumpJr · 355,467
#13
Dot Connecting Anons
@dotconnectinganons · 27,855
#14
The Federalist
@FDRLSTT · 24,519
#15
Jon Herold
@patelpatriot · 84,024
#16
⚡️ 🇺🇸 Sidney Powell 🇺🇸 🗽
@SidneyPowell · 126,066
#17
One America News Network
@OANNTV · 145,109
#18
PatriotAU️️️
@ThePatriotAU · 14,045
#19
Let’s Go Brandon (Official)
@LetsGoBrandon · 19,192
#20
David Clements
@theprofessorsrecord · 50,604
#21
VOLTRON4444 🇺🇸🦅
@Voltron4444 · 11,566
#22
Trump Supporters Channel 🇺🇸
@TrumpChannel · 133,650
#23
Marjorie Taylor Greene
@RealMarjorieGreene · 57,298
#24
RealTimeNews™
@dailyrealtimenews · 19,663
#25
Sergeant News Network 🇺🇸
@SGTnewsNetwork · 111,081
#26
Benny Johnson
@BennyJohnson · 62,999
#27
Catturd Fan Club
@CatturdFanClub · 22,682
#28
O'Keefe Media Group
@OKeefeMediaGroup · 22,318
#29
Telegram Feed - PearFEED
@PearFEED · 41,018
#30
Patri0tsareinContr0l ⭐️⭐️⭐️
@Patri0tsareinContr0l · 20,008
#31
Joe Oltmann Official
@joeoltmann · 18,491
#32
The American Tribune
@theamericantribune · 17,766
#33
Karma Patriot 🤍
@nyflipbucket · 9,588
#34
ElectionFraud20.org
@ElectionFraud20_org · 5,425
#35
Congresswoman Marjorie Taylor Greene
@RepMTG · 8,278
#36
Matt Gaetz
@MattGaetzOfficial · 30,027
#37
Natalie Winters
@NatalieWinters · 2,753
#38
The Babylon Bee
@TheBabylonBee · 94,841
#39
Jack Posobiec
@Jack_Posobiec · 116,972
#40
KanekoaTheGreat
@KanekoaTheGreat · 116,639
#41
We The Media
@WeTheMedia · 142,828
#42
ULTRA Pepe Lives Matter 🐸
@PepeMatter · 146,341
#43
Dan Scavino FORCE🇺🇸🦅
@DanScavinoFORCE · 90,076
#44
WarRoom: Official Telegram Channel
@BannonWarRoom · 52,030
#45
💊 ℝ𝕖𝕕.ℙ𝕚𝕝𝕝.ℙ𝕙𝕒𝕣𝕞𝕒𝕔𝕚𝕤𝕥 💊
@RPPharmacistOfficial · 51,726
#46
The Justice League
@THEREALTORIABROOKE · 27,034
#47
The Western Journal
@WesternJournal · 50,748
#48
The Epoch Times
@epochtimes · 128,370
#49
Election Wizard
@realelectionwizard · 21,366
#50
Disclose.tv
@disclosetv · 321,989
#51
il Donaldo Trumpo
@RealDonaldoTrumpo · 155,727
#52
Raheem Kassam
@RaheemKassam · 7,762
#53
X22 Report Official
@realx22report · 160,450
#54
The Post Millennial
@ThePostMillennial · 19,470
#55
Police frequency
@police_frequency · 69,996
#56
The General
@GeneralMCNews · 144,274
#57
Pepe Deluxe
@PepeDeluxed · 56,634
#58
Just Human ⭐️⭐️⭐️
@realjust_human · 30,649
#59
Insider Paper
@insiderpaper · 108,525
#60
Marco Polo
@MarcoPolo501c3 · 32,430
#61
NTD
@NTDNews · 53,125
#62
James O'Keefe
@JamesOKeefeIII · 166,322
#63
Josh Hawley
@Josh_Hawley · 26,107
#64
Ron Watkins [CodeMonkeyZ]
@CodeMonkeyZ · 125,706
#65
Daily Bible Devotionals
@dailybibledevotionals2 · 20,435
#66
Jordan Sather
@jordansather · 47,655
#67
Patrick M. Byrne
@PatrickMByrne · 43,287
#68
Libs of TikTok Fans
@libsontiktok · 16,206
#69
Scott Presler
@ScottPresler · 16,850
#70
Right Side Broadcasting Network (RSBN)
@rsbnetwork · 103,061
#71
Andy Ngo (Official)
@Andy_Ngo · 34,545
#72
Based Rand Paul ★★★
@BasedRandPaul · 4,229
#73
Paul Serran
@SignaltoNoiseChannel · 7,065
#74
Julie Kelly 🇺🇲
@Julie_Kelly2 · 2,273
#75
Woke Societies
@WokeSocieties · 25,823
#76
Lara Logan
@NoAgendaLara · 26,030
#77
Dan Bongino
@DBongino · 105,975
#78
Rise of the New Media - Brian Cates
@riseofthenewmedia · 18,079
#79
Shadow of Ezra
@ShadowofEzra · 146,732
#80
Independent Journal Review
@theijr · 9,055
#81
Political Moonshine
@PoliticalMoonshine · 5,620
#82
LAURA LOOMER
@loomeredofficial · 19,498
#83
The Library
@The_Library_II · 18,895
#84
CognitiveCarbon Public
@CognitiveCarbonPublic · 11,322
#85
Amir Tsarfati
@beholdisraelchannel · 568,741
#86

Read from Telegram’s recommendation API, most recently 19 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.

Kari Lake
@realKariLake · 22,293
Telegram ranks this channel #8 of 88 here — alongside 87 others — read 21 September 2026
Ted Cruz
@TedCruzTX · 28,071
Telegram ranks this channel #11 of 94 here — alongside 93 others — read 9 September 2026
Daily Caller
@Daily_Caller · 28,668
Telegram ranks this channel #12 of 97 here — alongside 96 others — read 8 September 2026
Catturd Fan Club
@CatturdFanClub · 22,682
Telegram ranks this channel #13 of 83 here — alongside 82 others — read 19 September 2026
Wendy Rogers
@wendyrogersaz · 45,674
Telegram ranks this channel #14 of 84 here — alongside 83 others — read 27 August 2026
⚡️ 🇺🇸 Sidney Powell 🇺🇸 🗽
@SidneyPowell · 126,066
Telegram ranks this channel #14 of 87 here — alongside 86 others — read 13 August 2026
Dr. Lynn Fynn’s Science Enlightenment Channel & Stuff
@DrLynnFynn · 24,452
Telegram ranks this channel #15 of 84 here — alongside 83 others — read 16 September 2026
The American Spectator
@AmericanSpectator · 42,870
Telegram ranks this channel #15 of 92 here — alongside 91 others — read 28 August 2026
The Federalist
@FDRLSTT · 24,519
Telegram ranks this channel #18 of 89 here — alongside 88 others — read 15 September 2026
David Clements
@theprofessorsrecord · 50,604
Telegram ranks this channel #18 of 70 here — alongside 69 others — read 25 August 2026
Charlie Kirk
@CharlieKirk · 151,701
Telegram ranks this channel #18 of 85 here — alongside 84 others — read 12 August 2026
Daily Wire Junkies
@realDailyWire · 38,890
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 30 August 2026
Marjorie Taylor Greene
@RealMarjorieGreene · 57,298
Telegram ranks this channel #19 of 86 here — alongside 85 others — read 22 August 2026
O'Keefe Media Group
@OKeefeMediaGroup · 22,318
Telegram ranks this channel #21 of 84 here — alongside 83 others — read 20 September 2026
Official RedPill78 Channel
@OfficialRedPillNews · 34,920
Telegram ranks this channel #22 of 75 here — alongside 74 others — read 2 September 2026
Jon Herold
@patelpatriot · 84,024
Telegram ranks this channel #22 of 81 here — alongside 80 others — read 2 September 2026
Ryan Fournier
@RyanAFournier · 20,375
Telegram ranks this channel #23 of 88 here — alongside 87 others — read 27 September 2026
Glenn Beck Fans
@glennbeck · 36,856
Telegram ranks this channel #24 of 88 here — alongside 87 others — read 1 September 2026
General Flynn ️
@RealGenFlynn · 148,425
Telegram ranks this channel #24 of 80 here — alongside 79 others — read 12 August 2026
Telegram Feed - PearFEED
@PearFEED · 41,018
Telegram ranks this channel #25 of 89 here — alongside 88 others — read 29 August 2026
Captain Keshel and Co. American Election Integrity HQ
@ElectionHQ2024 · 69,154
Telegram ranks this channel #25 of 81 here — alongside 80 others — read 20 August 2026
JovanHuttonPulitzer
@JovanHuttonPulitzer · 26,546
Telegram ranks this channel #27 of 80 here — alongside 79 others — read 11 September 2026
Dinesh D’Souza
@DineshJDSouza · 70,989
Telegram ranks this channel #29 of 93 here — alongside 92 others — read 19 August 2026
Patri0tsareinContr0l ⭐️⭐️⭐️
@Patri0tsareinContr0l · 20,008
Telegram ranks this channel #30 of 78 here — alongside 77 others — read 29 September 2026

This channel appears in 53 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 30 September 2026 — this entry's latest reading, not the date you are reading this.

“Liz Harrington” (@LizHarrington76), 22,779 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/LizHarrington76.

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.