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 77% 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 42 days, net -748. 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 30,723–31,695 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
17 Sept 2026, 19:16
30,835
-38
15 Sept 2026, 14:18
30,873
-27
14 Sept 2026, 02:18
30,900
-29
12 Sept 2026, 10:37
30,929
-58
10 Sept 2026, 05:17
30,987
-46
7 Sept 2026, 01:02
31,033
-52
4 Sept 2026, 08:39
31,085
-27
2 Sept 2026, 18:45
31,112
-12
1 Sept 2026, 17:34
31,124
-5
31 Aug 2026, 18:26
31,129
-25
30 Aug 2026, 17:06
31,154
-11
29 Aug 2026, 19:44
31,165
-12
28 Aug 2026, 23:03
31,177
-22
27 Aug 2026, 20:24
31,199
-19
26 Aug 2026, 17:44
31,218
-14
25 Aug 2026, 17:27
31,232
-7
24 Aug 2026, 17:19
31,239
-28
23 Aug 2026, 02:27
31,267
-26
21 Aug 2026, 12:54
31,293
-27
20 Aug 2026, 15:52
31,320
first reading
Engagement
46 posts held, back to 19 June 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 69 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.3%
avg views ÷ 30,835 subscribers
Avg views / post
5,940
15 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
16
of 46 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
46 (19 June 2026 – 17 September 2026)
Views total
89,100
Reactions total
1,276
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 09:06 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
≈8,030
Videos
≈1,230
Links
≈8,220
Lifetime counters from Telegram’s own channel header, read 22 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.
Reaction mix
4,917 reactions across 42 posts, in 24 distinct kinds. The most used accounts for 23.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,148
23.3%
👍
1,008
20.5%
❤
860
17.5%
👏
502
10.2%
🤔
363
7.38%
🤪
162
3.29%
🤯
161
3.27%
💯
159
3.23%
❤🔥
135
2.75%
🤣
122
2.48%
😁
93
1.89%
🏆
81
1.65%
👀
64
1.30%
🙏
24
0.488%
😐
8
0.163%
😨
7
0.142%
😎
6
0.122%
⚡
5
0.102%
👌
4
0.081%
🐳
1
0.02%
4 further kinds
4
0.081%
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 42 of the 46 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 4,917 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 46 most recent posts we hold, published 19 June 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.
When defense attorneys in a criminal case (United States v. Cole) use that case to compel the government to produce materials (that would not otherwise be available) for a separate but related civil case in which they are also defense attorneys (Kerkhoff v. Blaze, Baker, and Hanneman)... it's a serious problem.
The judge seems keen to correct it.
https://t.me/realjust_human/18130
I was thinking last night about how we regulate (or don’t regulate) products that can do both good and harm.
Matches. Lightbulbs. Food with peanuts. Glue. Detergents. Graphic material.
For so many of these, we simply add a warning label.
The label tells the consumer what the risks are:
- Made in a facility that processes nuts
- Do not inhale. Use in a well-ventilated area.
- Bulb gets very hot when in use.
- Chok…
🧵United States v. Cole
(J5 Pipe Bomber case)
Cole and disgraced Blaze reporters Steve Baker and Joseph Hanneman have been sharing some of the same defense attorneys since April—without informing the courts.
The judge in Cole's case was recently alerted to this conflict...
Thread
https://threadreaderapp.com/thread/2100002523742363715.html
Fmr CIA Director John Brennan Subpoena’d in Criminal Probe Targeting Brennan… But That Doesn’t Make Sense.
Rumble
https://rumble.com/v7fjjbg-brennan-subpoenad-in-criminal-probe-targeting-brennan...-but-that-doesnt-ma.html
YouTube
https://youtu.be/LeQEY1H26qM
Case of CIA Agent Who Swiped 300+ Gold Bars From Agency May Resolve in Plea Agreement
Rumble
https://rumble.com/v7fjj6m-case-of-cia-agent-who-swiped-300-gold-bars-from-agency-may-resolve-in-plea-.html
YouTube
https://youtu.be/ju60b_IlCD8
The anti-AI hysteria is pretty dumb, but this subheading is brilliantly dystopian.
https://www.wsj.com/finance/stocks/ai-leaders-are-calling-for-a-slowdown-but-wall-street-keeps-on-buying-7c671903
🧵The Brennan news going around is largely informed by a filing his attorney made in their lawsuit against DOJ and by statements that attorney made to the media. Salt accordingly.
In the four-page filing, Brennan's attorney states that he received a subpoena for his client to testify before a grand jury on Oct 15 and that it was signed by diGenova.
That same day, diGenova resigned.
Thread
https://threadreaderapp.co…
🧵United States v. Rush
Remember the CIA agent who lied about his education and military career, committed ~$80k in timecard fraud, swiped 300+ gold bars from the Agency, and had a stash of 35 luxury watches at his home?
His case may soon resolve in a plea agreement.
Thread here
https://threadreaderapp.com/thread/2099546240715293077.html
I think the 9/11 memorial turned out remarkably well considering the challenges it faced: turning a gravesite for 3,000 people into a solemn place for families to visit and honor their memory, while also accommodating a new tower and a museum to preserve the history—plus all the usual difficulties of building anything this large in Manhattan.
What we wish was there were two towers rebuilt, or at least the FEELING th…
Just Human pinned «Just Human #377: 9/11 A Generation Later—Memories, Lessons Not Learned, Teaching the Next Generation 9/11 twenty-five years later. A generation has grown up with no memory of that morning. In this episode I sit with the footage, the posts, the commemorations…»
Just Human #377: 9/11 A Generation Later—Memories, Lessons Not Learned, Teaching the Next Generation
9/11 twenty-five years later.
A generation has grown up with no memory of that morning. In this episode I sit with the footage, the posts, the commemorations, and my own memories of September 11, 2001.
I walk through videos and images from the day—the impacts, the collapses of the Twin Towers and WTC 7, President B…
Among the fallout from 9/11 was a flood of misinformation, disinformation, and malinformation that sparked conspiracy theories still popular today.
Those theories targeted and exploited cognitive vulnerabilities we all have: emotions, gaps in knowledge, a tendency toward superstitious or magical thinking, prejudices, awareness of class or social status, and our dopamine system.
Motivated actors—politicians, grifter…
❤62👏28💯16🔥11🤪10👍3⚡2🐳1
Showing the 12 most recent of 46 posts we hold for @realjust_human. 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 2 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.
Handles this channel named that no longer answer
Dead references
2
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
2
vacant every time we have ever looked
@realjust_human named 2 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.
@dagtoddblanche named in 6 posts, 8 August 2026 – 15 August 2026
@usattypirro named in 6 posts, 8 August 2026 – 15 August 2026
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.
drefanzor (and friends) memes @drefanzor · 3,627#81
Read from Telegram’s recommendation API, most recently 6 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.
Jon Herold @patelpatriot · 84,673 Telegram ranks this channel #2 of 81 here — alongside 80 others — read 2 September 2026
TruthHammer 🙏🇺🇸 (DM's & Channel Spam are FAKERS.) @TruthHammer · 46,055 Telegram ranks this channel #8 of 81 here — alongside 80 others — read 27 August 2026
Jordan Sather @jordansather · 47,773 Telegram ranks this channel #10 of 81 here — alongside 80 others — read 26 August 2026
Captain Keshel and Co. American Election Integrity HQ @ElectionHQ2024 · 69,581 Telegram ranks this channel #14 of 81 here — alongside 80 others — read 20 August 2026
Dot Connecting Anons @dotconnectinganons · 27,855 Telegram ranks this channel #15 of 72 here — alongside 71 others — read 9 September 2026
Marco Polo @MarcoPolo501c3 · 32,553 Telegram ranks this channel #15 of 81 here — alongside 80 others — read 4 September 2026
Lara Logan @NoAgendaLara · 26,102 Telegram ranks this channel #18 of 84 here — alongside 83 others — read 13 September 2026
Patton6966 @patton6966 · 26,466 Telegram ranks this channel #18 of 77 here — alongside 76 others — read 12 September 2026
Pepe Deluxe @PepeDeluxed · 56,808 Telegram ranks this channel #20 of 70 here — alongside 69 others — read 23 August 2026
Enthéos @RealEntheos · 31,595 Telegram ranks this channel #21 of 68 here — alongside 67 others — read 5 September 2026
✞ Dr C ✞ @InevitableET · 38,818 Telegram ranks this channel #22 of 80 here — alongside 79 others — read 31 August 2026
Dan Scavino 🇺🇸 @DanScavino17 · 46,968 Telegram ranks this channel #22 of 70 here — alongside 69 others — read 26 August 2026
Becker News @beckernews · 28,300 Telegram ranks this channel #23 of 90 here — alongside 89 others — read 9 September 2026
Praying Medic News @PrayingMedicNews · 24,379 Telegram ranks this channel #24 of 77 here — alongside 76 others — read 16 September 2026
The Patriot Voice @PatriotVoiceOfficial · 32,495 Telegram ranks this channel #28 of 70 here — alongside 69 others — read 5 September 2026
The Justice League @THEREALTORIABROOKE · 27,121 Telegram ranks this channel #29 of 75 here — alongside 74 others — read 11 September 2026
Official RedPill78 Channel @OfficialRedPillNews · 35,064 Telegram ranks this channel #33 of 75 here — alongside 74 others — read 2 September 2026
And We Know® @andweknowLT · 86,337 Telegram ranks this channel #36 of 73 here — alongside 72 others — read 17 August 2026
Jeffrey Peterson - jeff.pro @jeffdotpro · 24,077 Telegram ranks this channel #41 of 75 here — alongside 74 others — read 17 September 2026
Tracy Beanz @TracybeanzOfficial · 26,607 Telegram ranks this channel #44 of 84 here — alongside 83 others — read 12 September 2026
💊 ℝ𝕖𝕕.ℙ𝕚𝕝𝕝.ℙ𝕙𝕒𝕣𝕞𝕒𝕔𝕚𝕤𝕥 💊 @RPPharmacistOfficial · 51,973 Telegram ranks this channel #45 of 73 here — alongside 72 others — read 24 August 2026
Patrick M. Byrne @PatrickMByrne · 43,466 Telegram ranks this channel #46 of 78 here — alongside 77 others — read 28 August 2026
JovanHuttonPulitzer @JovanHuttonPulitzer · 26,718 Telegram ranks this channel #48 of 80 here — alongside 79 others — read 11 September 2026
Matt Gaetz @MattGaetzOfficial · 30,200 Telegram ranks this channel #49 of 90 here — alongside 89 others — read 7 September 2026
This channel appears in 35 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Just Human ⭐️⭐️⭐️” (@realjust_human), 30,835 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/realjust_human.
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.