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 97% 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.
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. They sit inside a group of 3 channels that share the same post bodies with each other. 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 (2 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 37 comparable posts for this entry, running 4 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 3, the earliest publisher we hold is @ONCHETVERIKOVA — 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 2 other registered channels, 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.
29 measurements spanning 44 days, net +2. 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 31,086–31,149 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
18 Sept 2026, 14:58
31,141
-1
16 Sept 2026, 09:59
31,142
+19
14 Sept 2026, 12:57
31,123
+20
12 Sept 2026, 20:02
31,103
-3
10 Sept 2026, 21:36
31,106
-11
7 Sept 2026, 22:39
31,117
-1
4 Sept 2026, 23:22
31,118
+2
3 Sept 2026, 08:42
31,116
-8
2 Sept 2026, 02:55
31,124
+6
1 Sept 2026, 06:04
31,118
-1
30 Aug 2026, 11:35
31,119
+3
28 Aug 2026, 14:53
31,116
-2
26 Aug 2026, 14:43
31,118
+3
25 Aug 2026, 16:45
31,115
+15
24 Aug 2026, 16:02
31,100
-7
22 Aug 2026, 21:42
31,107
-3
21 Aug 2026, 08:25
31,110
-1
20 Aug 2026, 08:25
31,111
-2
19 Aug 2026, 11:57
31,113
+7
17 Aug 2026, 15:53
31,106
first reading
Engagement
393 posts held, back to 4 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 74 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.17%
avg views ÷ 31,141 subscribers
Avg views / post
2,230
179 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
180
of 393 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
393 (4 August 2026 – 23 September 2026)
Views total
399,893
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 20:47 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
≈3,640
Videos
≈1,580
Links
≈12,500
Lifetime counters from Telegram’s own channel header, read 23 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
2h 36m
Average length
5m 35s
Measured directly from 28 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.
Advertising
Ad load
0.254%
1 of 393 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
2,280
over 1 measured post
Median views · rest
2,300
over 389 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VfnxvpUYvX
1
27 August 2026
27 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 393 most recent posts we hold, published 4 August 2026 to 23 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
ВЦИОМ, напомним, всегда рисуют нужные заказчику цифры.
Ведь социологические службы - один из важнейших инструментов манипулирования общественным сознанием.
Странно, у них только"больше половины", а не три четверти.
Потом доведут до 10 лет, но и на этом не остановятся.
https://t.me/moscowmap/78851
А это в ответ патриарху о том, что народ был "одурачен" левыми идеями.
И сейчас "одурачен"?
А октябрь 1993 г. - это что было? Торжество демократии?
https://dialectic.club/2026/09/16/zapad-polyarizuetsya-a-rossiya-vybiraet-levyj-kurs/
В России внутренние опросы показывают рост популярности левых идеологий. Социологи подсчитали в апреле 2024 года общую долю сторонников левых идей в стране и зафиксировали рост показ…
Друзья!
Сохраните это для истории.
Кто такой Шапошников, думаю, объяснять не надо.
Надо напомнить господам, что принцип социализма - "от каждого по способностям, каждому - по труду".
"По потребностям" - это при коммунизме, который недостижим.
Зато нынешний правящий класс вторую часть этого принципа - "по потребностям" - взял на вооружение и воплотил в жизнь, забыв про первую - "по способностям".
Так ч…
Те, кто ставит капкан, первыми туда и попадут.
Естественно, цифровые экспериментальные кролики проигнорируют разъяснение ЦБ, на которое ссылается в своём посте Е.В.Чекан:
Обязан ли работодатель с 1 октября 2026 г. платить зарплату работникам цифровом рубле?
ЦБ: Такой обязанности у работодателя нет и не будет. Обязанность предоставить инфраструктуру для работы с цифровыми рублями по закону с 1 сентября 2026 …
https://dzen.ru/a/YnJ_0BjfCFR1Xyp5?ysclid=mucl7hwt3c618136644
«Тяжёлые времена рождают сильных людей, сильные люди создают лёгкие времена. Лёгкие времена рождают слабых людей. Слабые люди создают тяжёлые времена.»
В московской школе установили необычную систему оценок, которая должна понравиться двоечникам. В ней 2 — это 5 с плюсом.
Систему ввели в школе №1514. Пока что она действует только для начальных классов. В системе всего три оценки: 2, 1 и 0. Оценка 2 значит отлично выполненное задание, переводя на классическую систему — это 5+ или 5 (но не ниже). Под 1 подпадает «хорошо» и «удовлетворительно»: от 5 с минусом до 3. А …
Число пропавших без вести в ходе конфликта на Украине людей достигло 275 тыс. человек. Об этом «Ведомостям» сообщила президент Международного комитета Красного Креста (МККК) Мирьяна Сполярич-Эггер.
По ее словам, МККК в среднем получает 10 тыс. новых запросов на розыск в месяц. При этом с 2025 года организация изменила методику учета: в статистику теперь включаются не только формализованные запросы, но и предваритель…
Россияне стали ещё больше смотреть YouTube, несмотря на замедление сервиса, следует из данных статистики. В первом полугодии среднее время просмотра выросло на 24%, до 99 минут в день, тогда как аудитория Rutube продолжила снижаться.
🤑 The Экономист
Showing the 12 most recent of 393 posts we hold for @ONCHETVERIKOVA. 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.
Posts edited after publishing
@ONCHETVERIKOVA edited 5 posts 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
13 August 2026
Most recent edit
23 September 2026
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 29 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.
Handles this channel named that no longer answer
Dead references
3
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
3
vacant every time we have ever looked
@ONCHETVERIKOVA named 3 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.
@bizzybarney named in 2 posts, 2 September 2026 – 3 September 2026
@simoncholland named in 2 posts, 2 September 2026 – 3 September 2026
@rian_ru named in 1 post, 27 August 2026 – 27 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.
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.
ТЗС (Правозащитное Сообщество Торжества Здравого Смысла) @victoria_de_communi_sensu · 23,979 Telegram ranks this channel #9 of 85 here — alongside 84 others — read 17 September 2026
Перехват управления @logikadysha · 37,230 Telegram ranks this channel #11 of 84 here — alongside 83 others — read 1 September 2026
Галина Царёва (официальный) @Galina_Tsareva_official · 67,635 Telegram ranks this channel #12 of 81 here — alongside 80 others — read 20 August 2026
Марина Масленникова @mamaslennikova · 29,860 Telegram ranks this channel #20 of 88 here — alongside 87 others — read 8 September 2026
Даниил (Даниэль) Сачков, создатель Бастиона @danielsatchkov · 35,753 Telegram ranks this channel #23 of 85 here — alongside 84 others — read 2 September 2026
КПО - Анна Руднева @anna_kpo · 22,416 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 20 September 2026
Глобальная перезагрузка @sensible_people · 38,027 Telegram ranks this channel #28 of 84 here — alongside 83 others — read 31 August 2026
Будильник. Кому не всё равно @komunevseravno · 40,122 Telegram ranks this channel #29 of 81 here — alongside 80 others — read 30 August 2026
Россия на игле @RNIGL · 35,680 Telegram ranks this channel #36 of 81 here — alongside 80 others — read 19 September 2026
Телеканал «Сталинград» @TELEKANALSTALINGRAD · 84,551 Telegram ranks this channel #41 of 86 here — alongside 85 others — read 18 August 2026
ДОКТОР ДЕНИС ИВАНОВ @doctor_denisivanov · 24,523 Telegram ranks this channel #42 of 91 here — alongside 90 others — read 16 September 2026
Будьте здоровы! А.Редько @budte_zdorovi_vse · 33,161 Telegram ranks this channel #46 of 92 here — alongside 91 others — read 4 September 2026
⚠️ Общественный уполномоченный по защите семьи (ОУЗС) @ouzs_ru · 75,260 Telegram ranks this channel #51 of 88 here — alongside 87 others — read 19 August 2026
Вадим Шегалов. PLANDEMIA.NEWS @voyager1970 · 45,099 Telegram ranks this channel #54 of 87 here — alongside 86 others — read 27 August 2026
Дмитрий Перетолчин — «Картина Мира» @ndayclub · 23,459 Telegram ranks this channel #56 of 96 here — alongside 95 others — read 18 September 2026
ПРАВДА СИЛЬНЕЕ!!! @PRAVDASILNEE · 31,532 Telegram ranks this channel #56 of 82 here — alongside 81 others — read 6 September 2026
Спец @spetstv · 21,609 Telegram ranks this channel #57 of 87 here — alongside 86 others — read 23 September 2026
Независимая Ассоциация Врачей @associationofdoctors · 29,474 Telegram ranks this channel #59 of 89 here — alongside 88 others — read 8 September 2026
Коваленко. НОВЫЙ МИРОВОЙ ПОРЯДОК- СОПРОТИВЛЕНИЕ @n_w_order · 111,688 Telegram ranks this channel #60 of 83 here — alongside 82 others — read 14 August 2026
Ирина Жильцова.Родители ВМЕСТЕ @IrinaZhiltsovaVmeste · 33,693 Telegram ranks this channel #67 of 87 here — alongside 86 others — read 4 September 2026
Мария Шукшина @mariashukshina · 152,930 Telegram ranks this channel #70 of 92 here — alongside 91 others — read 12 August 2026
ЭТОТ ПРЕКРАСНЫЙ И ТАИНСТВЕННЫЙ МИР @mir_krasoti_i_tain · 26,326 Telegram ranks this channel #78 of 84 here — alongside 83 others — read 12 September 2026
Книжный день @knijnij_den · 46,236 Telegram ranks this channel #80 of 94 here — alongside 93 others — read 27 August 2026
АНТИУТОПИЯ @utopiyaproject · 30,864 Telegram ranks this channel #82 of 88 here — alongside 87 others — read 6 September 2026
This channel appears in 26 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.
“Ольга Четверикова | Официальный канал” (@ONCHETVERIKOVA), 31,141 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ONCHETVERIKOVA.
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.
