Job listings — 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 99% 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 7 other registered channels. This entry also sits inside a group of 6 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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 (6 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. 145 of the 163 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 363 comparable posts for this entry, running 26 July 2026 to 11 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).
Of the group of 6 channels, the one whose matching posts we hold earliest is @m_marketd. That is a statement about our reading window, not a claim of authorship.
Views per post sit far below this size band
17.5 average views per post against 23,765 subscribers — an engagement rate of 0.073%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
130 of 130 published in the window (130 exact, 0 rounded by Telegram)
Views totalled
2,272
Mature posts only
0.079% over 111 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below 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_copy · clone_source · err_low, last confirmed 12 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.
Channels linked by matching posts
This channel is in a group of 6 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
66 measurements spanning 96 days, net -1,182. 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 23,495–25,031 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
11 Nov 2026, 07:56
23,672
-30
9 Nov 2026, 17:07
23,702
-13
8 Nov 2026, 10:41
23,715
-21
7 Nov 2026, 06:45
23,736
-11
6 Nov 2026, 07:19
23,747
-18
5 Nov 2026, 06:06
23,765
-10
4 Nov 2026, 06:29
23,775
-12
3 Nov 2026, 08:48
23,787
-10
2 Nov 2026, 09:59
23,797
-14
1 Nov 2026, 12:57
23,811
-10
31 Oct 2026, 11:06
23,821
-11
30 Oct 2026, 09:28
23,832
-22
29 Oct 2026, 11:16
23,854
-14
28 Oct 2026, 10:26
23,868
-8
27 Oct 2026, 11:58
23,876
-13
26 Oct 2026, 10:30
23,889
-13
25 Oct 2026, 09:05
23,902
-26
24 Oct 2026, 06:41
23,928
-9
23 Oct 2026, 04:30
23,937
-9
22 Oct 2026, 05:30
23,946
first reading
Engagement
380 posts held, back to 26 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 132 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.076%
avg views ÷ 23,672 subscribers
Avg views / post
18.0
124 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
124
of 380 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 12 November 2026
Posts held
380 (26 July 2026 – 12 November 2026)
Views total
2,226
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 11:52 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
≈2,610
Videos
≈5
Links
≈2,240
Lifetime counters from Telegram’s own channel header, read 12 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 124 posts held from the last 30 days (0%) 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).
УДАЛЕНКА! СПЕЦИАЛИСТ ПО РАБОТЕ С ПРАЙС-ЛИСТАМИ🗓️
В онлайн-проект требуется сотрудник для актуализации информации о товарах и ценах.
Оплата: 60 000–80 000 ₽ в месяц.
Задачи: получать списки товаров, сверять стоимость и характеристики, отмечать изменения, обновлять данные в электронных таблицах и проверять корректность внесённой информации.
Работа удалённая, от 4 часов в день. Обучение и готовые инструкции предостав…
Ищем автора сценариев для коротких видео
Reels, Shorts и другие короткие ролики начинаются не с камеры, а с хорошей идеи.
Именно с этим предстоит работать: придумывать темы, писать сценарии на 30–60 секунд, подбирать интересные заходы и формулировать текст для озвучки.
Например, превратить обычную тему в короткий ролик, который захочется досмотреть до конца.
Подойдёт тем, кто следит за соцсетями, любит креативить и…
📄 Ассистент по документообороту - удалённо|ежедневные выплаты
📝 Обязанности: регистрация и сортировка документов, внесение данных в системы, подготовка пакетов для архива/подразделений, поддержка шаблонов. Работа подойдёт тем, кто внимателен к деталям и умеет держать процессы под контролем.
💰 Условия: пересмотр зарплаты и годовая премия, льготы, бонусы, гибкий график
👉 Откликайтесь! @ari_smirnovva
🟣 Ставить лайки на товары Ozon/WB 💙
💰Оплата: от 3 000₽ в день
Требования:
• Любое устройство;
• 1-2 часа свободного времени;
• Возраст от 18 лет, для жителей РФ.
Задачи:
• Нужно заходить по ссылкам, ставить лайк на товар и добавлять в избранное.
Условия:
• Работа из дома
• Оплата сразу после выполнения 5 заданий;
• Без опыта.
📩 Узнать детали и инструкции здесь: @elizz_mikhailovna
➖➖➖➖➖➖➖➖➖➖➖
📊 Работа с таблицам…
Открыт набор на позицию МОДЕРАТОРА ТЕКСТОВОГО КОНТЕНТА!
💰Доход: 55 000–80 000 ₽
Твоя задача — проверять входящие текстовые материалы и анкеты, находить опечатки и ошибки, отклонять дубли и следить за соблюдением стандартов качества.
🏠Удалённо, гибкие смены на выбор (от 4 до 8 часов в день).
🏦Быстрый ввод в работу и поддержка наставника на старте.
✨Опыт работы в сфере контента не обязателен!
Требования: грамотный ру…
👩💻 РЕКРУТЕР ДЛЯ МАРКЕТПЛЕЙСОВ (Ищем менеджера по подбору персонала)
Если Вы умеете общаться с людьми и хотите быстро освоить подбор кадров - Вы нам подходите. Рутину мы автоматизировали, Вам нужно только направлять кандидатов.
Оплата: от 85 000 ₽ в месяц.
Опыт: Приветствуется, но можно и без опыта - даём готовые скрипты и инструкции.
Место работы: Удалённо.
Задачи:
- Размещать готовые вакансии и принимать отклик…
ВАКАНСИЯ: Координатор онлайн-проектов
💻Формат: полностью удалённо
💰Зарплата: 70 000–85 000 ₽ в месяц
Ищем ответственного человека, который хочет развиваться в сфере онлайн-проектов и готов работать в команде.
Что нужно делать:
-Координировать текущие задачи и следить за сроками их выполнения.
-Взаимодействовать с командой по рабочим вопросам.
-Проверять выполнение задач и поддерживать порядок в рабочих процессах.
-…
Ищем людей для написания отзывов о фильмах 🎬
Оплата: от 3000 руб в день
👤Требования:
- Любовь к кино
- Способность писать отзывы
- Возраст от 18 лет, для жителей РФ.
🪧Задачи:
- Просмотр фильмов
- Написание отзывов и рейтингов
❗️Условия:
- Работать можно из дома
- Доступ к фильмам предоставляется
📩 Связь: @polinaahr
➖➖➖➖➖➖➖➖➖➖➖
Отвечать на отзывы на маркетплейсе Ozon/WB ✔️
📋 Задача:
— Предоставим аккаунт
— Отвеч…
⭐ УДАЛЁННАЯ ВАКАНСИЯ | МОДЕРАТОР КАТАЛОГА
💸 Доход: 65 000–80 000 ₽/мес.
Фриланс / аутсорсинг. Ищем внимательных сотрудников для проверки публикаций и контроля качества контента.
Основные задачи:
— Проверять публикации на соответствие правилам и цензуре.
— Модерировать тексты, изображения и описания.
— Выявлять запрещённые материалы и некорректную информацию.
— Проверять правильность категорий и разделов.
Условия:
…
Именно такую зарплату имеют удаленные работники у Wildberries💜
🤍Запусти бот
🤍Напиши менеджеру
🤍Забери аванс
Самая стабильная работа, с лучшими условиями на рынке труда 💜
Showing the 12 most recent of 380 posts we hold for @mark_tod. 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 recorded as deleted after publishing
We recorded 8 posts on @mark_tod 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
7 August 2026
Most recent seen missing
28 September 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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
18
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
18
vacant every time we have ever looked
@mark_tod named 18 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.
@howr_hrmng named in 7 posts, 8 August 2026 – 20 August 2026
@smilegodlbovesyou named in 5 posts, 8 August 2026 – 18 August 2026
@pavlovna_wbozon named in 3 posts, 7 November 2026 – 11 November 2026
@pavlovna_managerhr named in 3 posts, 7 November 2026 – 9 November 2026
@pavlovna_sheets named in 3 posts, 3 November 2026 – 5 November 2026
@yaroslava_hrmng named in 3 posts, 6 October 2026 – 9 October 2026
@anna_sergeevna_77 named in 3 posts, 8 August 2026 – 11 August 2026
@daria_hrmanager named in 2 posts, 20 October 2026 – 21 October 2026
@alex_otzovi named in 2 posts, 14 October 2026 – 16 October 2026
@ver_managerhr named in 2 posts, 30 September 2026 – 1 October 2026
@evgeniya_wbozon named in 2 posts, 9 August 2026 – 10 August 2026
@ksenia_otzovi named in 1 post, 11 November 2026 – 11 November 2026
@polina_wbozon named in 1 post, 11 November 2026 – 11 November 2026
@veron_otzovi named in 1 post, 8 October 2026 – 8 October 2026
@yulia_hrmng named in 1 post, 6 October 2026 – 6 October 2026
@yulia_otzovi named in 1 post, 1 October 2026 – 1 October 2026
@evgeniya_managerhr named in 1 post, 8 August 2026 – 8 August 2026
@zlatta_managerwb named in 1 post, 8 August 2026 – 8 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 16 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.
Фриланс | Удалённая работа @jobi_jobs · 44,604 Telegram ranks this channel #2 of 72 here — alongside 71 others — read 26 August 2026
Удалёнка | Фриланс @jobs_start · 124,542 Telegram ranks this channel #3 of 80 here — alongside 79 others — read 13 August 2026
Avtozvuk - Музыка в машину🔊🔊🔊😜 @avtozvukBASS50 · 62,448 Telegram ranks this channel #31 of 44 here — alongside 43 others — read 26 August 2026
This channel appears in 3 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“VIP удалёнка” (@mark_tod), 23,672 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/mark_tod.
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.