National news — 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 76% 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.
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)
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 24 comparable posts for this entry, running 7 August 2026 to 7 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 @MAKS23_NAFO — 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 8 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.
60 measurements spanning 92 days, net +43. 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 10,272–10,521 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
7 Nov 2026, 08:15
10,401
-7
6 Nov 2026, 09:41
10,408
-3
5 Nov 2026, 09:20
10,411
-3
4 Nov 2026, 07:11
10,414
+18
3 Nov 2026, 08:06
10,396
-3
2 Nov 2026, 09:01
10,399
-5
1 Nov 2026, 08:35
10,404
-6
31 Oct 2026, 08:00
10,410
+1
30 Oct 2026, 10:31
10,409
-2
29 Oct 2026, 07:56
10,411
-3
28 Oct 2026, 02:59
10,414
-2
27 Oct 2026, 00:18
10,416
-3
25 Oct 2026, 20:55
10,419
-5
24 Oct 2026, 19:07
10,424
-1
23 Oct 2026, 21:48
10,425
-5
22 Oct 2026, 20:17
10,430
-14
21 Oct 2026, 13:31
10,444
-11
20 Oct 2026, 13:15
10,455
+3
19 Oct 2026, 16:21
10,452
-3
18 Oct 2026, 17:27
10,455
first reading
Engagement
704 posts held, back to 7 August 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 47 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.10%
avg views ÷ 10,401 subscribers
Avg views / post
323
132 posts measured
Reaction rate
6.36%
reactions ÷ views · ER floor
Posts in window
132
of 704 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. It is computed over the 130 of 132 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
704 (7 August 2026 – 7 November 2026)
Views total
42,585
Reactions total
2,710
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 09:02 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
≈77,500
Videos
≈34,100
Links
≈2,170
Lifetime counters from Telegram’s own channel header, read 7 November 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
2h 27m
Average length
40s
Measured directly from 219 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
17,532 reactions across 689 posts, in 66 distinct kinds. The most used accounts for 22.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
3,871
22.1%
❤
1,959
11.2%
🤬
1,296
7.39%
👍
1,216
6.94%
🤡
956
5.45%
🙏
880
5.02%
🖕
596
3.40%
🤣
505
2.88%
👀
474
2.70%
🥰
472
2.69%
😡
458
2.61%
💯
450
2.57%
😢
417
2.38%
👏
395
2.25%
❤🔥
389
2.22%
😁
376
2.14%
🎉
337
1.92%
💩
219
1.25%
🤔
213
1.21%
🫡
186
1.06%
46 further kinds
1,867
10.6%
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 689 of the 704 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 17,532 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 704 most recent posts we hold, published 7 August 2026 to 7 November 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
Telegram’s own ‘edited’ marker: 1 of 132 posts held from the last 30 days (0.758%) 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).
🇺🇦🔱🚀 “Neptunes” on the military-industrial complex: Ukrainian Navy struck the Proton plant in Oryol, which produced equipment for ballistic and cruise missiles!
❗️War crime in Komyshuvakha — GUR identified Russians involved in airstrike on school
At least 55 people died, and more than 50 are considered missing.
According to military intelligence, the strike on Komyshuvakha was planned by Colonel Fedor Zubakov, head of the fire control group of the headquarters of “Dnepr” group of troops (forces) of the Russian occupation army. Four Su-34 aircraft were involved in the war c…
😢 The death toll from the Russian airstrike on Komyshuvakha on November 2 has risen to 55, - State Emergency Service
In the past 24 hours alone, rescuers have removed the bodies and remains of 9 more dead people from under the rubble.
🛰 Russia has begun using its own satellite system "Rassvet" to control drones over Ukraine. GUR reported this to Reuters.
This year, Russia launched 32 satellites into orbit, and the system can already transmit data from reconnaissance drones in real time and allow changing the route of attack UAVs during flight.
GUR notes that this will make it more difficult to intercept them with electronic warfare means.
Cover…
🇺🇦❗️ Zelensky:
Russia is preparing for the trilateral talks by launching ballistic missiles at Ukrainian critical infrastructure. Where the security situation allows, repair and rescue work is ongoing in the affected regions.
The attack was combined, in total, the Russians used 172 drones and 36 ballistic missiles, and all the missiles were aimed at Kyiv and the region. The main target of the strike was again the e…
🇺🇦🇺🇸 Zelensky:
I've heard from new people who will be in Congress, and also from the Democratic Party, that they stand on our side.
They don't try to balance between us and Russia. They are not afraid to say that Russia is the aggressor.
They don't want to give our land to Putin.
And I think that, based on such things, of course, we count on even more support.
🇪🇺 Zelensky: They want to begin with a new security infrastructure in Europe.
It's dangerous, by the way. It's more dangerous for the EU than for us. We are not part of the EU.
🇺🇦 Zelensky: I'm not crying when I see that the soldiers of Russia who are on our territory and killing our people are dying.
It's their choice. The choice of one person. The soldiers are not free, but they have their hands. It's Putin's ch…
🇺🇦 Zelensky:
I heard about some security infrastructure that the American side wanted to discuss, the idea of a European-Russian security infrastructure.
For me, it's not simple, and it can be dangerous for us.
That's why I was very clear with all of our partners. I think first, we have to discuss how to end this war.
🔱🚀 Missile Forces "Neptunes" Hit "Proton-Electrotex" in Oryol
ℹ️ JSC "Proton-Electrotex" is a leading Russian manufacturer of optoelectronic equipment and devices of a full production cycle. Among the company's products are modules for cruise aircraft missiles "Kover" and switch-inverters for ballistic missiles 9M723 OTRK "Iskander-M", etc.
❗️❗️Multiple explosions have been heard in Kyiv amid a Russian ballistic missile attack.
😡1
Showing the 12 most recent of 704 posts we hold for @MAKS23_NAFO. 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.
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.
Ukrainian Witness | War in Ukraine @warinukraineua · 20,666 Telegram ranks this channel #8 of 70 here — alongside 69 others — read 25 September 2026
Denys Davydov @pilotblog · 190,334 Telegram ranks this channel #9 of 80 here — alongside 79 others — read 11 August 2026
NOELREPORTS 🇪🇺 🇺🇦 @noel_reports · 4 Telegram ranks this channel #20 of 74 here — alongside 73 others — read 3 September 2026
frontier_conflict @frontier_conflict1 · 25,183 Telegram ranks this channel #29 of 74 here — alongside 73 others — read 14 September 2026
ProjectLeaflet @TheLeaflet · 27,822 Telegram ranks this channel #35 of 71 here — alongside 70 others — read 10 September 2026
DamnedHistory⚡️ @Damhistory · 20,878 Telegram ranks this channel #43 of 78 here — alongside 77 others — read 24 September 2026
The Defender Dome @DefenderDome · 21,315 Telegram ranks this channel #46 of 81 here — alongside 80 others — read 23 September 2026
Militare Semplice @militaresemplice · 31,905 Telegram ranks this channel #46 of 79 here — alongside 78 others — read 5 September 2026
Clash Report @ClashReport · 110,147 Telegram ranks this channel #50 of 83 here — alongside 82 others — read 14 August 2026
RAGE X - Intelligence | War @rageintel · 20,046 Telegram ranks this channel #54 of 79 here — alongside 78 others — read 28 September 2026
Lion Udler @LionUdler · 20,293 Telegram ranks this channel #74 of 90 here — alongside 89 others — read 26 September 2026
Exilenova+ @exilenova_plus · 323,917 Telegram ranks this channel #74 of 74 here — alongside 73 others — read 11 August 2026
This channel appears in 12 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.
“MAKS 26 🇺🇦👀” (@MAKS23_NAFO), 10,401 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/MAKS23_NAFO.
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.
