Technology — 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 96% 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 3 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 (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 20 comparable posts for this entry, running 1 June 2026 to 3 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 4, the earliest publisher we hold is @prodigitalpro. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 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 3 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.
31 measurements spanning 52 days, net -92. 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 22,491–22,675 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
27 Sept 2026, 12:55
22,537
+24
17 Sept 2026, 18:55
22,513
+1
15 Sept 2026, 12:57
22,512
-30
13 Sept 2026, 19:17
22,542
-14
11 Sept 2026, 23:56
22,556
-61
9 Sept 2026, 13:38
22,617
-20
6 Sept 2026, 05:01
22,637
+4
4 Sept 2026, 01:39
22,633
+3
2 Sept 2026, 17:45
22,630
-5
1 Sept 2026, 13:48
22,635
-2
31 Aug 2026, 16:38
22,637
-7
30 Aug 2026, 19:54
22,644
-2
28 Aug 2026, 21:52
22,646
-1
27 Aug 2026, 23:26
22,647
+4
26 Aug 2026, 01:54
22,643
-5
25 Aug 2026, 03:24
22,648
+2
23 Aug 2026, 22:34
22,646
+4
22 Aug 2026, 09:54
22,642
-6
20 Aug 2026, 21:12
22,648
+2
19 Aug 2026, 21:48
22,646
first reading
Engagement
54 posts held, back to 1 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 65 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.9%
avg views ÷ 22,537 subscribers
Avg views / post
5,170
20 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
20
of 54 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 2 of 20 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 25 September 2026
Posts held
54 (1 June 2026 – 25 September 2026)
Views total
103,393
Reactions total
0
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 00:59 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
≈1,540
Videos
≈204
Links
≈1,900
Lifetime counters from Telegram’s own channel header, read 30 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
1m 18s
Average length
20s
Measured directly from 4 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 54 we hold a reading for · 4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @marketingj. 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 54 most recent posts we hold for this entry, published 1 June 2026 to 25 September 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.
Apple второй раз за два месяца сокращает команду Fitness+
Apple провела второй раунд сокращений менее чем за два месяца. На этот раз небольшое число сотрудников уволили в команде Fitness+, в частности специалистов, работающих над аудиоконтентом для тренировок. Речь идет в том числе о программах «Время для ходьбы» и «Время для бега», которые позволяют заниматься с Apple Watch без просмотра видео, сообщает Bloomberg.
…
YouTube позволит A/B-тестировать несколько версий монтажа
В Studio можно будет загрузить до трех разных версий одного ролика и проверить, например, какой хук лучше удерживает аудиторию.
Фича должна появиться в 2027 году. Победителя, судя по интерфейсу, будут выбирать по watch time share — той же метрике, которую YouTube уже использует для A/B-тестов тамбнейлов и тайтлов, а не по CTR или просто retention.
Тиктокеры зарабатывают тысячи долларов на скрытой рекламе
Пользователи соцсетей заводят отдельные аккаунты и публикуют рекламные ролики, которые выглядят как обычные видео
Все больше обычных пользователей TikTok и Instagram (*запрещена в России, принадлежат Meta*, признанной экстремистской и запрещенной в РФ) зарабатывают на создании рекламных роликов для компаний. Они заводят отдельные аккаунты и публикуют видео, …
Alibaba выпустила модель Qwen 3.8-Omni-Flash
Китайская компания Alibaba представила Qwen3.8-Omni-Flash — нативную мультимодальную модель, обладающую возможностями агента. Ее главная цель — расширить функционал ИИ-агентов для решения практических задач, обеспечив переход от простого понимания мультимодального контента к таким действиям, как планирование задач, использование внешних инструментов и выполнение творческо…
App Store, ChatGPT и Claude собрали пятую часть зарубежных оплат россиян
На три сервиса пришлось более 20% всех зарубежных покупок
App Store, ChatGPT и Claude стали самыми часто оплачиваемыми зарубежными сервисами среди российских пользователей летом 2026 года. На них пришлось 9,3%, 7,2% и 5,3% всех успешных зарубежных покупок соответственно. Об этом свидетельствуют данные сервиса «Плати по всему миру», которые при…
Зумеры оказались богаче всех предыдущих поколений в своем возрасте — об этом говорит новое исследование BCG.
К 28 годам поколение Z получает на 25% больше, чем миллениалы, и на 50% больше, чем бумеры. Такая же ситуация с накоплениями.
При этом зумеры чувствуют себя беднее других: недоступное жилье, дорогие продукты, успешный успех в соцсетях и многое другое сказывается на восприятии.
OpenAI наняли специалиста по вайбу
Нормальным языком это значит очеловечивать компанию Альтмана, разговаривать с сотрудниками и информировать аудиторию о том, что ии-агенты пока не планируют случайно украсть их счета. Причем она самостоятельно запитчила себя OpenAI.
Сингапур начал платить гражданам за чтение вместо думскроллинга
Власти страны запустили программу в формате игры с виртуальными наградами
Сингапур запустил национальную программу ReadSG, которая призвана вернуть жителей к чтению на фоне популярности короткого цифрового контента и думскроллинга. Участникам предлагают читать не менее 15 минут в день, за что они получают виртуальные монеты, которые впоследствии можно …
В Австралии пользователям дадут возможность вернуться в старый добрый интернет без алгоритмов. Это часть инициативы Digital Duty of Care, которая должна уберечь австралийцев от пагубного влияния платформ.
Теперь платформы обязаны рассылать всем пользователям старше 16 лет пуш с предложением выключить алгоритмические рекомендации. Если юзер согласен, то в его фиде будет отображаться только контент людей, на которого …
Кружки в Телеграме станут квадратными — такую настройку нашли в новой бете приложения для Android.
Если отключить фирменное оформление, видеосообщение будет записываться обычным квадратом — без круглой обрезки, размытого фона и графики Telegram.
Заодно кружки серьёзно прокачают: появится выбор между 360p и 480p, битрейт до 2 Мбит/с и запись в 60 FPS на поддерживаемых смартфонах.
Claude помог исследователям взломать OpenAI
Специалисты по кибербезопасности нашли цепочку уязвимостей в инфраструктуре OpenAI
Исследователи по кибербезопасности нашли способ получить доступ к внутренним системам OpenAI. Для этого они использовали Claude — ИИ от конкурирующей компании Anthropic, пишет TechCrunch.
Сначала специалисты нашли уязвимости на форуме OpenAI. Затем им удалось получить доступ к аккаунту сотр…
Showing the 12 most recent of 54 posts we hold for @marketingj. 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.
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.
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 20 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.
Рекламщик от Бога @Digitalmrktng · 21,440 Telegram ranks this channel #23 of 97 here — alongside 96 others — read 23 September 2026
99 франков. Маркетинг @marketolog_marketing · 82,438 Telegram ranks this channel #64 of 95 here — alongside 94 others — read 18 August 2026
Нетология @netology_ru · 27,487 Telegram ranks this channel #79 of 96 here — alongside 95 others — read 10 September 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“Маркетинг / Диджитал” (@marketingj), 22,537 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/marketingj.
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.