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 9 September 2026 and assigned it the closest of 31 fixed categories, at 46% 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
34 measurements spanning 43 days, net -937. 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 34,404–35,623 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 10:58
34,545
-41
16 Sept 2026, 04:17
34,586
-24
14 Sept 2026, 11:37
34,610
-45
12 Sept 2026, 17:55
34,655
-57
10 Sept 2026, 17:02
34,712
-62
7 Sept 2026, 16:20
34,774
-68
4 Sept 2026, 18:00
34,842
-46
3 Sept 2026, 00:34
34,888
-12
1 Sept 2026, 20:35
34,900
-28
31 Aug 2026, 19:36
34,928
-8
30 Aug 2026, 21:14
34,936
-30
29 Aug 2026, 19:28
34,966
-13
28 Aug 2026, 22:27
34,979
-30
28 Aug 2026, 01:54
35,009
-27
26 Aug 2026, 22:23
35,036
-6
26 Aug 2026, 00:23
35,042
-29
24 Aug 2026, 21:24
35,071
-42
23 Aug 2026, 08:06
35,113
-17
21 Aug 2026, 21:07
35,130
-30
20 Aug 2026, 20:34
35,160
first reading
Engagement
60 posts held, back to 28 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 72 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.45%
avg views ÷ 34,545 subscribers
Avg views / post
3,260
15 posts measured
Reaction rate
4.19%
reactions ÷ views · ER floor
Posts in window
15
of 60 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 17 September 2026
Posts held
60 (28 July 2026 – 17 September 2026)
Views total
48,960
Reactions total
2,051
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
19 Sept 2026, 13:33 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
≈1,200
Videos
≈674
Links
≈7,180
Lifetime counters from Telegram’s own channel header, read 19 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
9m 39s
Average length
1m 56s
Measured directly from 5 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
8,030 reactions across 60 posts, in 8 distinct kinds. The most used accounts for 31.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤮
2,522
31.4%
👍
1,525
19.0%
🤯
992
12.4%
🔥
967
12.0%
👎
754
9.39%
😱
615
7.66%
😢
544
6.77%
❤
111
1.38%
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 60 of the 60 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 8,030 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 28 July 2026 to 17 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.
“The left should riot more”
“It’s high time that business owners stopped leeching off the community”
Communist DSA operative, tax evader and Portland city council member Mitch Green encouraged political violence, campaigned for the end of all law enforcement and slammed Portland businesses for complaining about their suffering in the city. https://thepostmillennial.com/portland-socialist-city-councilor-mitch-green-a…
For months, I’ve been working to unmask a Dallas-area transgender-identifying Antifa cell leader. Now I have.
He was arrested over an attack outside the RNC conference. His name is Hunter David Holmes. Read:
https://www.ngocomment.com/p/texas-trans-antifa-leader-unmasked
New Ngo report: I’ve unmasked a long-time Dallas trans Antifa cell leader who uses the alias “Doberman.”
The violent militant was arrested over an attack. He’s previously been raided by the FBI. His real name is Hunter David Holmes. READ: https://thepostmillennial.com/andy-ngo-reports-texas-trans-antifa-leader-unmasked-after-arrest-at-rnc-direct-action?utm_campaign=64470
My upcoming investigative true-crime book reveals how a group of leftist tech nerds obsessed about the threat of super intelligent AI ended up forming a cult where they believed trans people would save the world.
They left a trail of bodies in their wake.
Pre-order now: https://www.hachettebookgroup.com/titles/andy-ngo/the-zizians/9780316599030/
After Tyler Robinson was arrested in connection with Charlie Kirk's assassination, I was interviewed by @TheFP about all the clues that the suspect was motivated by leftist politics and maybe even Antifa ideology. https://www.thefp.com/p/understanding-tyler-robinsons-motives
After Charlie Kirk was assassinated, I wrote about my own experiences with people trying to kill me. I revealed how one Portland woman, a teacher, came to my parents' home looking for me with a weapon. She had researched how to make a bomb. https://www.ngocomment.com/p/the-assassination-of-charlie-kirk
My upcoming shocking, investigative political true-crime book about the Zizian trans death cult comes out soon. Barnes & Noble members will get 25% off preorders using code PREORDER25 until Sept. 11.
Premium B&N members will receive another 10% off. (Audiobooks and eBooks are included in this deal.)
Pre-order now: https://www.barnesandnoble.com/w/the-zizians-andy-ngo/1150264907
Ngo Comment exclusive: An African Muslim migrant killed an Antifa associate and another leftist outside a Tucson bar in an anti-gay hate attack.
Victim Cameron Capara openly promoted Antifa, mass migration and anti-American extremist views.
The story the national media won’t tell you about the shooting: https://www.ngocomment.com/p/exclusive-african-muslim-migrant
An Oregon leftist who plotted to bomb and behead federal officials to support illegal immigration was sentenced to probation in a sweetheart state plea deal. https://thepostmillennial.com/oregon-judge-sentences-teen-who-plotted-to-bomb-behead-ice-agents-in-domestic-terror-plot-to-3-years-of-probation?utm_campaign=64470
An Oregon leftist has been sentenced to only 75 days in a local jail and probation after being convicted of a plot to hunt down Portland ICE agents and behead and bomb them. Rayden Coleman procured knives and explosive device components. He praised killing "Nazis" on social media.
Leftists and many liberals have been urging one another to injure or kill federal agents in order to aid foreign interests. Read more abo…
One of the victims of the brutal knife-stabbing attack in Times Square is a Bank of America vice president.
Leftists have been urging comrades to m—rder corporate officials, like what Luigi Mangione is accused of, but this attack appears to have been random. https://thepostmillennial.com/bank-of-america-vp-identified-as-victim-in-crazed-womans-times-square-stabbing-spree?utm_campaign=64470
🤮69🤯30😢15🔥7👎4
Showing the 12 most recent of 60 posts we hold for @Andy_Ngo. 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 3 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.
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.
Read from Telegram’s recommendation API, most recently 2 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.
Josh Hawley @Josh_Hawley · 26,289 Telegram ranks this channel #25 of 94 here — alongside 93 others — read 12 September 2026
Tommy Robinson News @TommyRobinsonNews · 75,617 Telegram ranks this channel #33 of 72 here — alongside 71 others — read 19 August 2026
James O'Keefe @JamesOKeefeIII · 167,068 Telegram ranks this channel #37 of 88 here — alongside 87 others — read 12 August 2026
Sarah Huckabee Sanders @SarahHuckabee · 24,122 Telegram ranks this channel #39 of 87 here — alongside 86 others — read 16 September 2026
Turning Point USA @TPUSA · 47,158 Telegram ranks this channel #40 of 94 here — alongside 93 others — read 26 August 2026
Ted Cruz @TedCruzTX · 28,337 Telegram ranks this channel #49 of 94 here — alongside 93 others — read 9 September 2026
Ben Shapiro Gang @BenShapiroGang · 53,619 Telegram ranks this channel #50 of 93 here — alongside 92 others — read 23 August 2026
Rebel News @RealRebelNews · 30,735 Telegram ranks this channel #53 of 87 here — alongside 86 others — read 6 September 2026
Dan Bongino @DBongino · 106,897 Telegram ranks this channel #54 of 86 here — alongside 85 others — read 14 August 2026
JovanHuttonPulitzer @JovanHuttonPulitzer · 26,718 Telegram ranks this channel #55 of 80 here — alongside 79 others — read 11 September 2026
The American Spectator @AmericanSpectator · 43,073 Telegram ranks this channel #55 of 92 here — alongside 91 others — read 28 August 2026
Marjorie Taylor Greene @RealMarjorieGreene · 57,874 Telegram ranks this channel #55 of 86 here — alongside 85 others — read 22 August 2026
Wendy Rogers @wendyrogersaz · 45,898 Telegram ranks this channel #59 of 84 here — alongside 83 others — read 27 August 2026
The Federalist @FDRLSTT · 24,519 Telegram ranks this channel #60 of 89 here — alongside 88 others — read 15 September 2026
Mike Lindell @MichaelJLindell · 79,221 Telegram ranks this channel #61 of 85 here — alongside 84 others — read 18 August 2026
Matt Gaetz @MattGaetzOfficial · 30,200 Telegram ranks this channel #62 of 90 here — alongside 89 others — read 7 September 2026
Steven Crowder Fans @StevenCrowder · 50,783 Telegram ranks this channel #65 of 93 here — alongside 92 others — read 24 August 2026
The Western Journal @WesternJournal · 51,086 Telegram ranks this channel #65 of 88 here — alongside 87 others — read 24 August 2026
Marco Polo @MarcoPolo501c3 · 32,553 Telegram ranks this channel #66 of 81 here — alongside 80 others — read 4 September 2026
Analyzing America @analyzingamerica · 35,254 Telegram ranks this channel #66 of 85 here — alongside 84 others — read 2 September 2026
Dinesh D’Souza @DineshJDSouza · 71,631 Telegram ranks this channel #67 of 93 here — alongside 92 others — read 19 August 2026
One America News Network @OANNTV · 145,109 Telegram ranks this channel #69 of 87 here — alongside 86 others — read 12 August 2026
Mark Levin Warroom @MarkRLevin · 39,260 Telegram ranks this channel #70 of 91 here — alongside 90 others — read 30 August 2026
The Babylon Bee @TheBabylonBee · 95,276 Telegram ranks this channel #70 of 87 here — alongside 86 others — read 16 August 2026
This channel appears in 38 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Andy Ngo (Official)” (@Andy_Ngo), 34,545 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Andy_Ngo.
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.