Education — 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 10 September 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.
Growth
60 measurements spanning 90 days, net -407. 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 14,688–15,217 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
5 Nov 2026, 13:07
14,749
-4
4 Nov 2026, 15:17
14,753
-2
3 Nov 2026, 13:28
14,755
-8
2 Nov 2026, 14:16
14,763
-2
1 Nov 2026, 12:19
14,765
-5
31 Oct 2026, 09:29
14,770
-10
30 Oct 2026, 10:47
14,780
-11
29 Oct 2026, 10:04
14,791
-3
28 Oct 2026, 11:54
14,794
-4
27 Oct 2026, 08:59
14,798
-5
26 Oct 2026, 06:20
14,803
-3
25 Oct 2026, 04:37
14,806
-2
24 Oct 2026, 01:27
14,808
-11
23 Oct 2026, 02:28
14,819
-6
22 Oct 2026, 02:48
14,825
-4
20 Oct 2026, 20:50
14,829
-5
19 Oct 2026, 22:59
14,834
-4
18 Oct 2026, 21:00
14,838
-10
17 Oct 2026, 21:26
14,848
-4
16 Oct 2026, 20:35
14,852
first reading
Engagement
72 posts held, back to 23 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 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.65%
avg views ÷ 14,749 subscribers
Avg views / post
391
23 posts measured
Reaction rate
0.895%
reactions ÷ views · ER floor
Posts in window
23
of 72 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 14 of 23 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 4 November 2026
Posts held
72 (23 July 2026 – 4 November 2026)
Views total
8,997
Reactions total
47
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 06:17 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
Video runtime
2m 28s
Average length
49s
Measured directly from 3 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
179 reactions across 40 posts, in 7 distinct kinds. The most used accounts for 46.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
84
46.9%
🔥
59
33.0%
👍
27
15.1%
❤🔥
6
3.35%
💘
1
0.559%
🙏
1
0.559%
🤝
1
0.559%
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 41 of the 72 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 179 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 72 most recent posts we hold, published 23 July 2026 to 4 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.
Recent posts
Telegram’s own ‘edited’ marker: 5 of 23 posts held from the last 30 days (21.7%) 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).
Вчера прошёл эфир о взаимодействии конструктора и технолога — и по вашим откликам тема оказалась очень близкой ❤️
Говорили о том:
— в каком виде технолог хотел бы видеть документацию от конструктора;
— как ошибки в лекалах усложняют работу технолога и производства;
— почему лучший результат получается тогда, когда специалисты не спорят, кто виноват, а работают одной командой.
Спасибо всем, кто был с нами, задава…
Можно идеально выверить конструкцию — и всё равно стать головной болью для технолога?
ДА😞
Потому что после того, как конструктор закончил свою работу над чертежом (идеально рассчитал параметры и откорректировал балансы), начинается работа над лекалами. Модельная конструкция и лекала для производства- это не одно и то же!
📌 3 ноября в 18:30 МСК проведём прямой эфир с технологом Дарьей Боровковой и посмотрим на ра…
Что видит технолог, когда получает ваши лекала?
Понятный комплект, с которым можно сразу работать?
Или набор деталей, который сначала нужно долго «расшифровывать»? 😅
На ближайшем эфире поговорим о том, как оформлять лекала так, чтобы с вами действительно хотели работать снова.
Разберём:
— что обязательно должно быть указано на каждой детали;
— где нужны надсечки, нить основы, припуски и маркировка;
— почему даж…
С началом новой рабочей недели! ✂️
Продолжаем нашу серию прямых эфиров со специалистами, с которыми конструктор работает бок о бок.
На этой неделе вас ждут сразу два эфира:
📌 3 ноября в 18:30 МСК — эфир с технологом
📌 7 ноября в 11:00 МСК — эфир с владельцем швейного производства
Будем смотреть на работу конструктора с другой стороны и говорить о том, что действительно важно в совместной работе:
— что технолог …
«Вот вроде всё объяснила — а в итоге сделали совсем не то»
Судя по вашим комментариям после вчерашнего эфира, эта ситуация знакома очень многим 😅
Вчера вместе с дизайнером Алёной Марычевой мы говорили о работе конструктора глазами заказчика — без теории и идеальных сценариев.
Разобрали:
— что дизайнер действительно ждёт от конструктора;
— почему даже чёткие договорённости иногда понимают по-разному;
— что важно…
Конструктор и дизайнер постоянно работают в связке. Но всегда ли они понимают друг друга?
Завтра на эфире мы будем говорить о взаимодействии конструктора и дизайнера — и хотим сделать разговор максимально практичным.
Поэтому сегодня вопрос к вам 👇
Что вам бывает непонятно в работе с дизайнером?
Может быть:
— как правильно уточнять задумку модели;
— что обязательно должно быть в техническом задании;
— как обсужд…
Почему с одним конструктором дизайнер хочет работать снова и снова, а контакты другого больше никогда не открывает?
📌 29 октября в 18:00 по МСК проведём прямой эфир с дизайнером Алёной Марычевой.
Алёна — дизайнер и основатель бренда спортивной одежды A.M.D. DESIGNER. Более 12 лет работает в сфере дизайна и сама взаимодействует с конструкторами, технологами и производствами.
На эфире мы хотим поговорить именно с поз…
🎥 Запись эфира уже готова
Вчера разбирали тему:
«Что должен уметь современный конструктор одежды, чтобы с ним хотели работать?»
На эфире собрали своего рода карту профессиональных компетенций конструктора: что сегодня важно уметь помимо построения базовой конструкции, зачем нужны знания технологии и САПР и чего ждут от специалиста бренды и производства.
Почему стоит посмотреть запись:
1️⃣ Проверить себя
Понять, …
Спасибо всем, кто сегодня был с нами на эфире 🤍
Запись уже обрабатываем.
Завтра выложим её, и получить доступ можно будет по цифре в личных сообщениях.
Если не успели на эфир — ничего не пропустите 🙌
👍5🔥1
Showing the 12 most recent of 72 posts we hold for @academymody. 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
@academymody 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
23 August 2026
Most recent edit
23 August 2026
Posts recorded as deleted after publishing
We recorded 4 posts on @academymody 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
14 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
26 hours
Seen missing in the last 30 days
2
Polls
The 6 most recent of 12 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 105%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
«Бренды закрываются. А работу потом вообще реально найти?»17%
«Мне уже 40/50+. Не поздно ли менять профессию?»25%
«Я умею шить, но не понимаю, хватит ли этого, чтобы стать конструктором».33%
«Не проще ли просто освоить САПР?»8%
«А где вообще работать конструктору, если в моём городе нет крупных фабрик?»17%
«Можно ли работать удалённо и вести несколько брендов?»17%
«Какие навыки сегодня реально ценят работодатели и бренды?»33%
«Боюсь потратить год на обучение, а потом не окупить его».8%
У меня другой вопрос — напишу в комментариях.8%
The shares total 166%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 72 most recent posts we hold, published 23 July 2026 to 4 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 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.
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.
Швейный дом @sew_house · 24,911 Telegram ranks this channel #15 of 58 here — alongside 57 others — read 14 September 2026
Юля Балль о Шитье и счастье☺️ @lekakakaka · 19,682 Telegram ranks this channel #19 of 49 here — alongside 48 others — read 30 September 2026
This channel appears in 2 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Академия индустрии моды” (@academymody), 14,749 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/academymody.
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.