Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 19 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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.
Growth
10 measurements spanning 42 days, net +33. 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 979–1,028 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 08:16
1,020
-2
14 Sept 2026, 05:15
1,022
+1
10 Sept 2026, 19:18
1,021
+4
5 Sept 2026, 17:36
1,017
+12
29 Aug 2026, 19:47
1,005
+6
22 Aug 2026, 09:48
999
+14
14 Aug 2026, 09:15
985
-3
8 Aug 2026, 00:42
988
+1
8 Aug 2026, 00:35
987
no change
7 Aug 2026, 16:32
987
first reading
Engagement
11 posts held, back to 5 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
55s
Average length
55s
Measured directly from 1 video 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
194 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 50.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
98
50.5%
🔥
71
36.6%
💘
14
7.22%
👍
4
2.06%
🐳
3
1.55%
😍
3
1.55%
🕊
1
0.515%
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 11 of the 11 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 194 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 5 August 2026 to 7 August 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.
Advertising
Ad load
9.09%
1 of 11 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
183
over 1 measured post
Median views · rest
209
over 10 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
2VfnxwU77Vu
1
6 August 2026
6 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 11 most recent posts we hold, published 5 August 2026 to 7 August 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.
Что читает страна? Узнаем уже 11 августа! 📚
В специальном выпуске шоу «Что читать дальше» издательство ЭКСМО отправится в большое книжное путешествие. А если ваш ребёнок обожает тайны и семейные истории — начните его вместе с Эксмодетство.
Одна из книг, о которых пойдёт речь в выпуске, — «Золото скифов». Нет ничего интереснее, чем расследовать ограбление музея в тихом приморском городке! Когда под покровом ночи про…
Advertisementerid 2VfnxwU77VuForwarded from @pionerfilmVideo
«Легенда о золоте скифов» по книге Дмитрия Емца («Таня Гроттер», «Мефодий Буслаев») — в кино с 20 августа.
А 15 и 16 августа премьера семейного детектива пройдет в Москве и Санкт-Петербурге! На обоих показах фильм представит сам Дмитрий Емец.
Билеты здесь⚡️
Кстати, ищите вот эти жёлтые армадовские издания из серии "Замок чудес". Там каждый художник был ещё советской школы, чуть ли не академик живописи, потом они почти все, к сожалению, ушли.
⚡️ Таню Гроттер ВЕРНУТ — создатель франшизы нашего детства Дмитрий Емец представил сразу две книги. Их название — «За 1000 лет до Тани Гроттер».
В центре сюжета будут Кузя и Рюрик, лучшие друзья и наследники правителей — им предстоит сразиться за единый трон после объединения племен. После выхода двух новых книг начнется переоформление всей серии «Таня Гроттер».
Вспоминаем детство.
👍 Бэкдор
Любимый детский детектив — теперь в эксклюзивном кинооформлении! 🎬
✨ «Золото скифов» Дмитрия Емца выходит в новом издании с яркой кинообложкой. А внутри читателей ждёт приятный сюрприз — уникальные кадры из фильма и со съёмочной площадки, которые помогут ещё глубже погрузиться в историю.
В тихом приморском городке происходит дерзкое ограбление музея: исчезает бесценная скифская чаша. Кто тот загадочный самурай, кот…
✨ «Набитый Нюхль» попал в новостную ленту интернет‑издания «Палач»
В мае вышла статья о приквелах «Тани Гроттер» — «Сага о Школе вождей», о чём мы с Дмитрием Емцом, автором новых приключений, подробно говорили в эксклюзивном интервью😎
В ваши руки случайно попала страница из записной книжки человека, который называет себя истинным знатоком и ценителем скифского искусства. Однако, изучив его записи, вы понимаете: древние сокровища интересуют автора совсем не с археологической точки зрения. Кажется, готовится масштабное преступление…
Так начинается детективное расследование для всей семьи к выходу в прокат фильма «Легенда о золоте скифов». Вам предс…
❤14💘1🔥1
Showing the 11 most recent of 11 posts we hold for @tanja_and_mef. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Архипелаг БИГТЕХ @arhbigtech · 23,934 Telegram ranks this channel #93 of 97 here — alongside 96 others — read 17 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Дмитрий Емец” (@tanja_and_mef), 1,020 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/tanja_and_mef.
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.
