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 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.
Growth
34 measurements spanning 50 days, net -812. 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 29,188–30,244 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
25 Sept 2026, 04:59
29,310
-129
17 Sept 2026, 07:58
29,439
-41
15 Sept 2026, 05:21
29,480
-35
13 Sept 2026, 13:21
29,515
-50
11 Sept 2026, 14:41
29,565
-39
8 Sept 2026, 20:19
29,604
-38
5 Sept 2026, 13:00
29,642
-29
3 Sept 2026, 13:38
29,671
-17
2 Sept 2026, 05:08
29,688
-19
1 Sept 2026, 03:47
29,707
-26
31 Aug 2026, 06:34
29,733
-14
30 Aug 2026, 06:08
29,747
-14
29 Aug 2026, 08:17
29,761
-16
28 Aug 2026, 08:43
29,777
-29
27 Aug 2026, 07:12
29,806
-3
26 Aug 2026, 06:55
29,809
-16
25 Aug 2026, 05:11
29,825
-11
24 Aug 2026, 06:13
29,836
-31
22 Aug 2026, 14:52
29,867
-17
21 Aug 2026, 08:42
29,884
first reading
Engagement
87 posts held, back to 20 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 71 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.55%
avg views ÷ 29,310 subscribers
Avg views / post
2,510
28 posts measured
Reaction rate
1.42%
reactions ÷ views · ER floor
Posts in window
28
of 87 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 23 September 2026
Posts held
87 (20 July 2026 – 23 September 2026)
Views total
70,150
Reactions total
996
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 12:34 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
≈5,790
Videos
≈3,050
Links
≈11,700
Lifetime counters from Telegram’s own channel header, read 25 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
39m 55s
Average length
2m 21s
Measured directly from 17 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
2,821 reactions across 84 posts, in 19 distinct kinds. The most used accounts for 22.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
640
22.7%
👍
615
21.8%
💯
503
17.8%
🔥
362
12.8%
👏
151
5.35%
🤬
127
4.50%
🤔
100
3.54%
😱
63
2.23%
🤯
61
2.16%
🙏
56
1.99%
😡
35
1.24%
👎
30
1.06%
👀
24
0.851%
⚡
21
0.744%
😢
13
0.461%
😁
9
0.319%
💔
5
0.177%
🤷♂
4
0.142%
🕊
2
0.071%
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 85 of the 87 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 2,821 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 87 most recent posts we hold, published 20 July 2026 to 23 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.
🚨 500 ARRESTED IN SOUTHWEST FLORIDA ICE OPERATION
ICE says those arrested included a man charged with murder, a man accused of child molestation and a suspected cartel member. Florida Highway Patrol, the Lee County Sheriff’s Office and other agencies joined the operation.
Trump told the UN that nations have a right to remain sovereign and criticized mass migration. His administration is carrying out immigration arrests, including 500 reported in a Southwest Florida operation.
The question for the administration:
How many people have been deported, how does that compare with the mass deportation effort Trump promised during his campaign, and what is preventing it from reaching the sca…
Tonight’s space with @laralogan Greg McCabe, CEO of NBH, @busybrands @bleedblue18 @JunkSavvy @Beardvet @Notarighty12
will be one for the ages of true unmasking.
Time to name names as we get deeper into the public prosecution phase.
Inviting the OG of public prosecution through information reveal @JulianAssange to join.
Julian, the whole US financial system is corrupt. Would love to hear your take.
6pm ET x.com/i/s…
If you are a true blue, red blooded American and want to be a part of a movement of people who are exposing the criminals on Wall Street, this space is for you.
.
@laralogan
co-hosts this space with
@busybrands
Tuesday 9/22 6pm ET with Next Bridge Hydrocarbons CEO, Greg McCabe.
Get ready…. The flood gates of information the SEC and FINRA don’t want you to hear is spilling out.
NCSWIC
#MMTLPARMY #MMTLP
https:/…
BREAKING - US, Denmark, Greenland to sign US security deal for Greenland in New York on Tuesday: statement bit.ly/3V8HryS
Follow @InsiderPaper for more news
Having traveled alot and reporting on these subjects for 10 years I concur with this assessment. Look no further than the GENIUS and CLARITY Actgsto comprehend the digital financial enslavement coming all managed by the manufactured fear porn that we are in an AI race against China. Now you know why the federal government is fast tracking the build out of HYPERSCALE data centers nationwide.
Something is taking out the world's oil refineries, one at a time, and it's not a coincidence. I'll be covering this in more detail in my podcast tomorrow.
Look at the map. Ukraine is bombing Russian refineries that make diesel and gasoline. Yemen's strikes have hit Saudi refineries and pipelines, including the East-West line. The Nord Stream pipelines got destroyed, and Western Europe politically shut down its own …
BREAKING - Trump to give China’s Xi rare airport welcome: official
READ: https://insiderpaper.com/trump-to-give-chinas-xi-rare-airport-welcome-official/
🚨 LIVE TODAY AT 1 PM ET ON STEEL NEWS
Who truly controls your property, your business and your legacy?
Ann Vandersteel welcomes trust author and researcher Ann LeFlore for a powerful discussion on:
🔹 Private and nonstatutory trusts
🔹 Revocable versus irrevocable trusts
🔹 Asset protection and financial privacy
🔹 Trustee responsibilities
🔹 Probate and generational wealth
🔹 Private contract and constitutional rights
…
The masks are off.
Those who are telling you, don't worry, the white hats got this, are in fact authoritarian technocrats and most likely C-Lie-A.
I just had all the confirmation of that today.
I'd like to thank those who have continued to push the super secret, hush hush ,don't worry someone else is taking out the trash, narrative. Those are the people who are, in fact, the infiltrators and enemies to we the peop…
💯46👍8❤6👀2⚡1👎1
Signed ChristieChristie
Showing the 12 most recent of 87 posts we hold for @AnnVandersteelTruth. 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.
Handles this channel named that no longer answer
Dead references
9
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
9
vacant every time we have ever looked
@AnnVandersteelTruth named 9 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@paul_renner named in 24 posts, 8 August 2026 – 23 August 2026
@maureensteele_ named in 10 posts, 8 August 2026 – 4 September 2026
@rennerwarroom named in 8 posts, 8 August 2026 – 21 August 2026
@potus named in 4 posts, 13 August 2026 – 4 September 2026
@realamvoice named in 4 posts, 13 August 2026 – 21 August 2026
@seckennedy named in 3 posts, 13 August 2026 – 16 August 2026
@jackposoebiec named in 3 posts, 8 August 2026 – 13 August 2026
@rogersforfl named in 1 post, 23 August 2026 – 23 August 2026
@corymillsfl named in 1 post, 23 August 2026 – 23 August 2026
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.
Patriot Streetfighter @patriotstreetfighter · 71,852 Telegram ranks this channel #24 of 69 here — alongside 68 others — read 19 August 2026
Lara Logan @NoAgendaLara · 26,102 Telegram ranks this channel #30 of 84 here — alongside 83 others — read 13 September 2026
Dr. Lynn Fynn’s Science Enlightenment Channel & Stuff @DrLynnFynn · 24,452 Telegram ranks this channel #45 of 84 here — alongside 83 others — read 16 September 2026
Dr Jane Ruby @DrJaneRuby · 58,422 Telegram ranks this channel #45 of 81 here — alongside 80 others — read 22 August 2026
Utsava @utsavaprophecy · 24,488 Telegram ranks this channel #55 of 64 here — alongside 63 others — read 16 September 2026
Patrick M. Byrne @PatrickMByrne · 43,466 Telegram ranks this channel #64 of 78 here — alongside 77 others — read 28 August 2026
Dr. Simone Gold @DrSimoneGold · 81,136 Telegram ranks this channel #68 of 89 here — alongside 88 others — read 18 August 2026
Dr Naomi Wolf @NaomiWolfDr · 25,310 Telegram ranks this channel #72 of 87 here — alongside 86 others — read 14 September 2026
Covid Truth Network @covidtruthnet · 58,857 Telegram ranks this channel #82 of 83 here — alongside 82 others — read 22 August 2026
This channel appears in 9 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“ANN VANDERSTEEL CHANNEL” (@AnnVandersteelTruth), 29,310 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/AnnVandersteelTruth.
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.