Other / unclassifiable — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 54% 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 in near-verbatim form on 2 other registered channels. 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 (1 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 136 comparable posts for this entry, running 21 July 2026 to 13 November 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).
Views per post sit far above this size band
134,000 average views per post against 179,971 subscribers — an engagement rate of 74.7%. Across the 6,815 registered channels in the same cohort — 100,017–316,171 subscribers — the middle half sit between 1.89% and 13.4%, with a median of 5.44%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
36 of 36 published in the window (0 exact, 36 rounded by Telegram)
Views totalled
4,837,900
Mature posts only
76.3% over 35 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_source · err_high, last confirmed 15 November 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.
Growth
66 measurements spanning 101 days, net -6,884. 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 178,234–187,184 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
14 Nov 2026, 23:10
179,267
-202
11 Nov 2026, 21:39
179,469
-178
9 Nov 2026, 22:20
179,647
-89
8 Nov 2026, 13:47
179,736
-59
7 Nov 2026, 08:38
179,795
-77
6 Nov 2026, 05:26
179,872
-99
5 Nov 2026, 07:37
179,971
-111
4 Nov 2026, 07:17
180,082
-120
3 Nov 2026, 07:19
180,202
-303
2 Nov 2026, 03:38
180,505
-59
1 Nov 2026, 03:59
180,564
-59
31 Oct 2026, 06:45
180,623
-32
30 Oct 2026, 06:27
180,655
-31
29 Oct 2026, 07:56
180,686
-56
28 Oct 2026, 04:16
180,742
-67
27 Oct 2026, 05:16
180,809
+63
26 Oct 2026, 04:20
180,746
-69
25 Oct 2026, 01:19
180,815
-49
24 Oct 2026, 00:45
180,864
-79
22 Oct 2026, 23:16
180,943
first reading
Engagement
150 posts held, back to 21 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 207 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
70.1%
avg views ÷ 179,267 subscribers
Avg views / post
126,000
41 posts measured
Reaction rate
3.92%
reactions ÷ views · ER floor
Posts in window
41
of 150 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 14 November 2026
Posts held
150 (21 July 2026 – 14 November 2026)
Views total
5,150,200
Reactions total
201,822
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 04:01 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
≈1,310
Videos
≈731
Links
≈5,290
Lifetime counters from Telegram’s own channel header, read 15 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
1m 33s
Average length
19s
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
738,917 reactions across 150 posts, in 59 distinct kinds. The most used accounts for 27.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
203,993
27.6%
❤
139,324
18.9%
🙏
100,955
13.7%
🤣
50,405
6.82%
🤬
47,204
6.39%
👍
38,579
5.22%
🔥
37,598
5.09%
😢
34,095
4.61%
😁
31,729
4.29%
🫡
12,545
1.70%
👀
6,074
0.822%
🤔
5,537
0.749%
🙈
3,979
0.538%
🍾
3,752
0.508%
😭
3,613
0.489%
👏
3,458
0.468%
💊
3,298
0.446%
😍
2,733
0.37%
custom 5314614887375192869
2,584
0.35%
💔
2,337
0.316%
39 further kinds
5,125
0.694%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 150 of the 150 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 738,917 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 150 most recent posts we hold, published 21 July 2026 to 14 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.
Telegram Stars
Stars received
379
across the posts below
Posts paid on
89
of 150 we hold a reading for · 59%
Most on one post
61
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @officer_33. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 150 most recent posts we hold for this entry, published 21 July 2026 to 14 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 7 of 41 posts held from the last 30 days (17.1%) 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).
Кількість терміналів Starlink у ворога кожного місяця поступово зростає.
Запаси та можливості використання старлінків противником дозволяє юзати їх не тільки наприклад на позиціях розрахунків БпЛА, а і під час штурмових дій, встановлючи на квадроциклах, для звʼязку зі штумовими групами, також активно використовують навіть на своїх нечисленних НРК.
+по підар-соцмережах купа оголошень про можливість продажу активован…
Сьогодні противник вдався до спроби штурмових дій на Добропільському напрямку, під туман намагаючись залетіти до н.п. Грузьке, підари задіяли 3 танка, 3 БМП та більше 10 одиниць ЛАТ та мототехніки, ну і відповідно на них десятки бажаючих відправитись в останню путь)
Так склалось, що найбільших успіхів досягла бронетехніка, доіхавши до ЛБЗ, решта потужичів спішились за декілька кілометрів до лінії бойового зіткнення …
«Отмотайтє НАТО на 30 лєт назад»
Вимога повернути кордони НАТО станом на 1997 рік означає, що в будь-якому випадку справа не в частині Донецької області, а питання з самого початку глибоко геополітичне і якщо в якійсь паралельний реальності США та Європа підуть на такі умови, то це буде означати вже не програш України, а капітуляція всієї Європи перед рф.
Не думаю, що союзники настільки дурні, що погодяться на такі…
Противник продовжує стягування та накопичення ресурсів для активізації бойових дій на Херсонському напрямку, мова йде як і про елітні підрозділи, так і про щойно мобілізований контингент, який не встиг толком пройти злагодження та підготовку, саме їм і прийдеться протоптувати стежку для еліти)))
Фіксується активне переміщення вогневих позицій артилерійських систем та позицій БпЛА, що збільшує можливості вогневого в…
Останній рік всіх подій та новин в інформаційному просторі ознаменується для мене тим, що хохли більше самі руйнують цю країну зсередини, ніж це робить противник на фронті.
Стосується абсолютно всіх: від персонажів у вищих ешелонах влади та силових структур, які пиздять бабки та розігрують циркову виставу, потім йде судова система та самі органи влади та нижчі посадові особи, котрі підіграють в цьому цирку і в самом…
В тематиці бойового застосування безпілотних систем у 2026-му році одним з головних тезисів є популяризація використання систем автодонаведення, яка народилась та одразу загубилась ще в далекому 2024-му, але після сповільнення зміни трендів у FPV, з популяризацією інших засобів та і загалом відсутність вундервафлі змусила повернутися до цієї забутої тематики: Хорнети, ударні крила та FPV-дрони вітчизняного виробництв…
Байден на фоні Трампа - здоровєйший чєловєк, я б навіть сказав з богатирським здоров’ям, хоча в кінці 2024-го мало б хто так сказав на фоні проблем з памʼяттю Байдена в порівнянні з Трампом, який протанцював всю передвиборчу кампанію; памʼятаю як всі говорили, що кінець війни буде, коли Трамп прийде до влади)))))
А старий був не такий дурний, бо тільки зараз ми розуміємо, що таке справжня дурість, адже ми зіштовхнул…
Майже 0 належної реакції від партнерів, союзників та загалом міжнародної спільноти, чи як їх там називають, стосовно трагедії в Комишувасі, Запорізької області, та і ми на неї особливо не розраховували)
В принципі особливо і немає на що розраховувати, адже таке відчуття, що ми повертаємося в роки АТО/ООС, коли «стурбованість» - це базовий максимум підтримки, який можна очікувати від них, проте рф потроху розтягує ту…
Таке відчуття, що кацапи або йдуть ва-банк, або хочуть залутати якомога більше територій перед потенційною заморозкою: пройшов перший тиждень листопада, а втрати та кількість зафіксованих переміщень живої сили противника на напрямках кратно збільшилась(стосується здебільшого напрямків Донеччини), більше того - з такими темпами цього місячні втрати будуть рекордними за всю війну.
При тому, що очікувався спад активнос…
Трохи не зрозумів чому особа командувача НГУ, генерала Півненко є взагалі предметом якихось дискусій по ситуації в Петропавлівській Борщагівці, адже він, як більшість керівників відомств в подібних ситуаціях, міг би просто «стурбовано» спостерігати за подіями по телевізору або взагалі віддати наказ на розгін мітингу.
Проте він особисто туди прибув на місце події та намагався уникнути загострення конфлікту, чим, повір…
Краматорськ залишається напевно лише в наших серцях та спогадах, адже місто просто нещадно руйнується та вимирає буквально на очах, воно вже зовсім не таке, як було на початку літа 2026…
Місто давно пережило той стан, коли прильоти та руйнування були відносно точковими; наразі ці ознаки прильотів та руйнувань - це звичний пейзаж і поступово переходить в стадію, коли прилітає в одні і ті ж місця по другому колу, букв…
😢4,510💔1,150😭242🤬219🙏104❤44🫡25😁25
Showing the 12 most recent of 150 posts we hold for @officer_33. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@officer_33 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 August 2026
Most recent edit
9 August 2026
Posts recorded as deleted after publishing
We recorded 5 posts on @officer_33 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
9 August 2026
Most recent seen missing
6 November 2026
Median time before seen missing
18 hours
Seen missing in the last 30 days
2
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 36 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 14 August 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.
Розвідник ✙ @rozvidnuk_1 · 52,546 Telegram ranks this channel #1 of 83 here — alongside 82 others — read 25 August 2026
Думки Фронтовика ∆ @dumky_frontovyka · 54,361 Telegram ranks this channel #1 of 84 here — alongside 83 others — read 23 August 2026
PEKHNO🇺🇦 @pekhno_news · 68,268 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 20 August 2026
In Factum @in_factum · 45,300 Telegram ranks this channel #2 of 81 here — alongside 80 others — read 28 August 2026
Позивний Каппа @KappaHimera · 51,595 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 24 August 2026
Око Гора ✙ Новости и аналитика @oko_gora · 69,131 Telegram ranks this channel #2 of 84 here — alongside 83 others — read 21 August 2026
47 окрема механізована бригада «Маґура» @brygada47 · 52,761 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 25 August 2026
Zvиздец Мангусту @zvizdecmanhustu · 67,695 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 20 August 2026
Sazonov / Official @Kirilovolodimirovich · 105,727 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 15 August 2026
Жорін /// Третій армійський корпус @MaksymZhorin · 118,317 Telegram ranks this channel #3 of 88 here — alongside 87 others — read 15 August 2026
Розвідка Ноєм @rozvidka_noem · 116,990 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 14 August 2026
WarArchive @WarArchive_ua · 51,504 Telegram ranks this channel #4 of 85 here — alongside 84 others — read 25 August 2026
🐻Балу HUB🐻 @BaluHUB777 · 52,969 Telegram ranks this channel #4 of 79 here — alongside 78 others — read 23 August 2026
Євген Карась ✙ @karas_evgen · 161,679 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 14 August 2026
✙Resurgam✙ @resurgammmm · 56,233 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 23 August 2026
UKRAINIAN MILITANT @ukrainian_militant · 62,960 Telegram ranks this channel #5 of 82 here — alongside 81 others — read 21 August 2026
Піхотинець Хижак🦅🇺🇦 @lost_generation_88 · 63,250 Telegram ranks this channel #5 of 81 here — alongside 80 others — read 21 August 2026
КіберБорошно | CyberBoroshno @kiber_boroshno · 69,785 Telegram ranks this channel #5 of 81 here — alongside 80 others — read 21 August 2026
Aeris Rimor @AerisRimor · 163,167 Telegram ranks this channel #5 of 88 here — alongside 87 others — read 14 August 2026
Міністерство оборони України @ministry_of_defense_ua · 65,970 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 21 August 2026
KRAKEN | ПБС 3 Армійського Корпусу @kraken_ab3 · 70,185 Telegram ranks this channel #6 of 82 here — alongside 81 others — read 19 August 2026
Американський 🚀 піхотинець @usinfantryman1 · 89,869 Telegram ranks this channel #6 of 86 here — alongside 85 others — read 16 August 2026
Фашик Донецький @gistapapapa · 103,936 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 15 August 2026
Strike Drone Company @strikedronescompany · 49,172 Telegram ranks this channel #7 of 91 here — alongside 90 others — read 25 August 2026
This channel appears in 194 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“Офіцер” (@officer_33), 179,267 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/officer_33.
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.
