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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
37 measurements spanning 66 days, net +9,986. 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 29,198–46,809 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)
Subscribers
Change
13 Oct 2026, 04:19
41,354
-610
8 Oct 2026, 23:01
41,964
-869
4 Oct 2026, 11:20
42,833
+2,815
26 Sept 2026, 03:01
40,018
-500
19 Sept 2026, 05:16
40,518
-209
16 Sept 2026, 20:55
40,727
-96
14 Sept 2026, 22:21
40,823
-117
13 Sept 2026, 05:56
40,940
-161
11 Sept 2026, 07:37
41,101
-620
8 Sept 2026, 15:36
41,721
-396
5 Sept 2026, 06:17
42,117
-174
3 Sept 2026, 07:38
42,291
-113
2 Sept 2026, 04:25
42,404
-259
1 Sept 2026, 03:15
42,663
-298
31 Aug 2026, 02:13
42,961
-237
29 Aug 2026, 22:56
43,198
-467
28 Aug 2026, 20:36
43,665
-239
27 Aug 2026, 19:25
43,904
-117
26 Aug 2026, 21:49
44,021
-177
25 Aug 2026, 21:07
44,198
first reading
Engagement
18 posts held, back to 22 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 127 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
28.4%
avg views ÷ 41,354 subscribers
Avg views / post
11,700
3 posts measured
Reaction rate
2.89%
reactions ÷ views · ER floor
Posts in window
3
of 18 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 10 October 2026
Posts held
18 (22 June 2026 – 10 October 2026)
Views total
35,230
Reactions total
1,017
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Oct 2026, 03:45 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
96
Videos
7
Links
42
Lifetime counters from Telegram’s own channel header, read 14 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
5,437 reactions across 18 posts, in 18 distinct kinds. The most used accounts for 13.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
731
13.4%
🤝
704
12.9%
❤
543
9.99%
👍
496
9.12%
👀
481
8.85%
🔥
464
8.53%
✍
382
7.03%
🆒
354
6.51%
🫡
338
6.22%
🌚
283
5.21%
👌
247
4.54%
👏
204
3.75%
🤓
106
1.95%
🏆
43
0.791%
😈
25
0.46%
😱
17
0.313%
🤪
15
0.276%
🤯
4
0.074%
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 18 of the 18 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 5,437 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 22 June 2026 to 10 October 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.
Telegram Stars
Stars received
55
across the posts below
Posts paid on
8
of 18 we hold a reading for · 44%
Most on one post
21
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sdalvse. 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 18 most recent posts we hold for this entry, published 22 June 2026 to 10 October 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.
Так может выглядеть расчетная часть вашей ВКР 📊
Собрали пример Excel для ВКР, курсовой или другой учебной работы по экономике и бухгалтерскому учету. Внутри - годовой обзор, отчет за месяц, анализ продаж, баланс и финансовые коэффициенты.
Можно вписывать свои данные, выбирать период и менять оформление. Формулы пересчитывают показатели, а диаграммы обновляются вслед за цифрами. Таблицы и графики можно перенести в Wor…
🧡Портфолио лучше собирать до того, как понадобится первая работа😜
Если в резюме пока есть только вуз и специальность, начните с одного бесплатного курса и одной практической работы. Не обязательно покупать обучение. У крупных компаний и университетов есть программы, где бесплатно доступны и материалы, и подтверждение результата.
Площадки, которые стоит сохранить:
📱 Google Skillshop
Маркетинг, реклама и аналитика. М…
Постов давно не было. Я просто закопался в обновление СдалВсё и всё откладывал момент, когда уже можно будет сказать: готово, заходите смотреть🤓
Сайт пересобрали почти целиком. Самое заметное из нового - Николай AI.🤍 Ему можно отправить задание, методичку или свой файл и спросить прямо: что здесь вообще требуется, где ошибка в расчёте, нормально ли выстроена структура, что не так с текстом. Сейчас там работает новая…
Ну что, 1 сентября прошло. 🔫 Сегодня уже второе: расписание получили, первые задания прилетели, а у многих сессия вообще началась ещё раньше))) 😐
Если учёба наложилась на работу, сроки поджимают или вы просто не понимаете, что преподаватель хочет увидеть в задании🧠, пишите @studkey 🫠
Помогаем с курсовыми, практикой, ВКР, магистерскими, контрольными, тестами и др. видами работ🤔
Можно сразу прислать задание, методичку…
Вот такие сообщения прилетают нам от студентов ❤️
На скрине только несколько свежих отзывов. Остальные собираем здесь 🌟 t.me/sdalvseStudyFeedback
😶 Если у вас ещё остались хвосты с прошлой сессии, присылайте задание, методичку и дату сдачи - посмотрим, что можно сделать🧠
🎓 С практикой тоже обращайтесь: учебная, производственная, преддипломная. Даже если место прохождения пока не нашли. Посмотрим требования Вашего …
✅ Если думаете, что кандидатская — это просто «ВКР, только побольше», откройте этот файл.
😱307 страниц. 585 источников.😱
Тема — компетенция субъектов РФ. Автор не просто собирает теорию: смотрит, как за 20 лет менялись полномочия регионов, разбирает законодательство 30 субъектов РФ, практику Конституционного Суда и сравнивает Россию с 41 зарубежным государством.
Один из выводов: полномочий у регионов формально ста…
Про СдалВсе.рф написали на CNews 🗞
Для нас это важная публикация: один из крупнейших российских ИТ-ресурсов рассказал о новом разделе «Нормы и расчёты» на СдалВсе.рф.
🗞 В статье CNews разобрали саму идею сервиса: не просто собрать нормативные документы в одном месте, а связать их с конкретными задачами. Чтобы можно было сделать расчёт, увидеть формулу и ход решения, проверить источник и понять, откуда взялся резуль…
🎓 Магистерская, с которой к нам пришли 7 июля. Защита была уже 15 августа.
😐 Во второй главе руководитель требовал нормальную аналитику, а не пересказ источников. Собрали данные за несколько лет, добавили таблицы, динамику и сравнение районов. После проверки получили новые замечания и тоже их закрыли.🤓
🤨15 августа студентка написала после очной защиты: оценка — 5. Комиссии особенно понравилась именно аналитическая …
🆕 Большое обновление СдалВсё.рф. Мы собрали в одном месте то, для чего раньше приходилось открывать несколько сервисов. Всё бесплатно, без регистрации.
🤖Главное новое: раздел «Нормы и расчёты».
🌐 Внутри уже 204 документа из официальных источников и рабочие сервисы для шести направлений:
⚖️ Право: госпошлина, процессуальные сроки, неустойка.
👨 Охрана труда: обучение, травматизм и риски.
🔐 Инфобез: сроки при утечке …
⚖️Будущим юристам: диплом сам по себе ничего не решает.
Отучиться пять лет, выучить кодексы и получить корочку — это только вход в профессию. Дальше начинается совсем другая теория, которую в универе почти не дают.
У юриста должны быть связи. Нормальный нотариус, бухгалтер, эксперт, врач, айтишник, коллеги из других направлений. Люди, которым можно позвонить и быстро получить нормальный ответ, а не три часа искать е…
90% оригинальности в Антиплагиате. Можно сдавать ВКР?
Не спешите. Универсального требования «не меньше 80%» для всех вузов нет. Минобрнауки в мае 2026 года отдельно напомнило: система даёт лишь дополнительную оценку, окончательное решение принимает преподаватель.
Перед отправкой проверьте:
• какой порог указан именно в регламенте вашего вуза;
• что попало в совпадения: чужой текст или цитаты, законы и список литер…
👍121💯41❤39✍37👌7
Showing the 12 most recent of 18 posts we hold for @sdalvse. 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.
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.
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 13 October 2026 — this
entry's latest reading, not the date you are reading this.
“СдалВсе | Помощь студентам: курсовые, практика, ВКР” (@sdalvse), 41,354 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/sdalvse.
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.