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Channel

Академия НЕсложного процента

@academnsp

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

7,652subscribers

+88 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001541949893
TypeChannel
Username@academnsp
DescriptionАлександр Бабинцев и команда педагогов о финансах на простом языке YouTube канал: https://www.youtube.com/@academnsp Рекламу НЕ размещаем По вопросам сотрудничества: @dimaxp7 Ленивая инвестиционная блондинка (Александр Бабинцев): @Aleksmsy07
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/academnsp

Topic

Crypto & trading — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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

7,5637,6537,6087 August 2026 — 7,564 subscribers8 August 2026 — 7,563 subscribers10 August 2026 — 7,564 subscribers13 August 2026 — 7,589 subscribers16 August 2026 — 7,598 subscribers20 August 2026 — 7,604 subscribers24 August 2026 — 7,599 subscribers27 August 2026 — 7,602 subscribers29 August 2026 — 7,601 subscribers1 September 2026 — 7,599 subscribers5 September 2026 — 7,601 subscribers10 September 2026 — 7,609 subscribers14 September 2026 — 7,600 subscribers18 September 2026 — 7,626 subscribers27 September 2026 — 7,638 subscribers5 October 2026 — 7,635 subscribers12 October 2026 — 7,645 subscribers15 October 2026 — 7,646 subscribers18 October 2026 — 7,648 subscribers21 October 2026 — 7,646 subscribers24 October 2026 — 7,653 subscribers27 October 2026 — 7,648 subscribers30 October 2026 — 7,644 subscribers1 November 2026 — 7,646 subscribers4 November 2026 — 7,652 subscribers7,6527 August 20264 November 2026
25 measurements spanning 89 days, net +88. 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 7,550–7,667 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
4 Nov 2026, 17:507,652+6
1 Nov 2026, 16:497,646+2
30 Oct 2026, 00:017,644-4
27 Oct 2026, 06:097,648-5
24 Oct 2026, 07:457,653+7
21 Oct 2026, 06:087,646-2
18 Oct 2026, 07:557,648+2
15 Oct 2026, 13:287,646+1
12 Oct 2026, 15:117,645+10
5 Oct 2026, 17:167,635-3
27 Sept 2026, 17:017,638+12
18 Sept 2026, 05:227,626+26
14 Sept 2026, 00:407,600-9
10 Sept 2026, 15:227,609+8
5 Sept 2026, 04:377,601+2
1 Sept 2026, 17:137,599-2
29 Aug 2026, 23:087,601-1
27 Aug 2026, 03:367,602+3
24 Aug 2026, 00:577,599-5
20 Aug 2026, 02:227,604first reading

Engagement

53 posts held, back to 8 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 24 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.5%
avg views ÷ 7,652 subscribers
Avg views / post
2,180
15 posts measured
Reaction rate
3.17%
reactions ÷ views · ER floor
Posts in window
15
of 53 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
WindowRolling 30 days · latest post in window 5 November 2026
Posts held53 (8 July 2026 – 5 November 2026)
Views total32,748
Reactions total1,038
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 12:13 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
633
Videos
60
Links
791

Lifetime counters from Telegram’s own channel header, read 6 November 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.

Video runtime
30m 20s
Average length
2m 45s

Measured directly from 11 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

3,680 reactions across 53 posts, in 11 distinct kinds. The most used accounts for 35.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,30435.4%
❤99327.0%
🤝64017.4%
👍52714.3%
👏782.12%
🐳671.82%
🎉250.679%
💯220.598%
👨‍💻100.272%
✍80.217%
🥰60.163%

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 53 of the 53 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 3,680 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 8 July 2026 to 5 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: 0 of 15 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).

5 Nov 2026, 06:02 UTC948 views25 reactionsread 6 November 2026
Photo

🔥 Вы набрали 100 огоньков, держите обещанный файл! Коллеги, под постом про акции сотня 🔥 набралась часа за четыре, а к утру их стало еще больше. Такого в канале давно не было, спасибо) Мы спросили участников клуба, с чего у них началось серьезное отношение к деньгам. Чаще всего: на счете собралась сумма, и непонятно, что с ней делать. В такой момент деньги хочется поскорее пристроить. Так и собирается портфель из …

🔥12❤8🤝5

4 Nov 2026, 13:38 UTC≈1,100 views191 reactionsread 6 November 2026
Photo

Купили акцию, а она упала. Продать, докупить или ждать? Возвращались с конференции Смартлаба и в дороге задумались вот о чем. На таких встречах инвесторы чаще всего ищут ответ на один вопрос: «Какую акцию купить, чтобы заработать?» Их можно понять. Хочется найти интересную компанию, купить ее акции и через какое-то время увидеть хорошую прибыль. Но есть вопрос, который важно задать себе еще до покупки: «Зачем я п…

🔥177❤7🤝7

2 Nov 2026, 08:47 UTC≈1,290 views42 reactionsread 6 November 2026
Forwarded from @vernikov_andrei_1Photo

📌НОВОЕ ВИДЕО УЖЕ МОЖНО СМОТРЕТЬ 🔥НА ЮТУБЕ https://youtu.be/OexXY0WSSx0 🔥НА ВК https://vkvideo.ru/video-228615069_456239677 🔥НА РУТУБЕ https://rutube.ru/video/f5f594d05d27a0165ab902ebc7de2537/

🔥28👍11❤3

2 Nov 2026, 08:47 UTC≈1,400 views27 reactionsread 6 November 2026

Коллеги, сходил в гости к Андрею Верникову На мой взгляд получилось интересно! Всем приятного просмотра!

👍17🤝6🔥4

1 Nov 2026, 08:24 UTC≈1,810 views80 reactionsread 6 November 2026
Photo

Вчера весь день провел на конференции Смартлаба. С большим удовольствием присутствовал на выступлениях спикеров и пообщался с коллегами! Сегодня в планах сходить к еще одному интересному интервьюеру. Но Дима не разрешает "спойлерить", поэтому пусть будет небольшая интрига. Всем хорошего дня!

🔥50❤15🤝15

29 Oct 2026, 15:38 UTC≈2,090 views65 reactionsread 6 November 2026
Video message

Video message, posted without a caption

🤝38❤20🐳7

28 Oct 2026, 11:43 UTC≈2,450 views69 reactionsread 6 November 2026
Photo

🍊 Что покупали и продавали в «Мандаринке» в октябре Коллеги, в октябре акции подросли, и состав нашей «Мандаринки» изменился. Поэтому очередные покупки начали с привычного вопроса: чего сейчас не хватает портфелю? Из новых денег внесли обычные 6 000 рублей. Вместе с поступившими купонами и остатком денег на счете для покупок было около 9 300 рублей. На эфире клуба разобрали, как распределить эту сумму, и показали р…

🤝47❤16🐳6

26 Oct 2026, 13:30 UTC≈2,060 views82 reactionsread 6 November 2026
Photo

Почему мы не берем плечо даже под очень хорошую идею Акция сильно подешевела. Компания знакомая, бизнес хороший, перспективы нам нравятся. Кажется, вот он – момент, который нельзя упускать. Только свободных денег на большую покупку сейчас нет. И тут брокер любезно предлагает занять. Коллеги, продолжу разговор о заемных средствах. На эфире «Кредит – это зло» обсуждали, почему даже под хорошую идею мы предпочитаем к…

❤50🔥23🤝9

24 Oct 2026, 14:32 UTC≈2,090 views52 reactionsread 6 November 2026
Photo

Сначала разогнать счет, потом инвестировать? Коллеги, знакома мысль: со ста тысяч много не заработаешь. Сначала бы быстро сделать парочку миллионов, а уже потом купить хорошие активы и жить на дивиденды. Есть такое мнение, что это возможно сделать на срочном рынке. Я сам торговал на нем. В новом ролике делюсь этим опытом и разбираю, где такой план может дать сбой. 📺 Смотреть на YouTube 📺 Смотреть в VK Видео 📺 См…

❤29🤝20🐳3

20 Oct 2026, 10:51 UTC≈2,800 views46 reactionsread 6 November 2026
Photo

Почему кредит закрыт, а денег опять нет? Коллеги, после нашего эфира о кредитах хочу поделиться одной мыслью, которая кажется мне особенно важной. Часто слышу: «Сейчас все свободные деньги направлю на кредит. А потом начну копить и формировать капитал». Логика понятна, особенно при высокой ставке. Но к моменту погашения долга у человека может не оказаться собственных денег. Все ушло в банк. А жизнь продолжается: …

🔥26❤18🐳2

17 Oct 2026, 14:32 UTC≈2,890 views54 reactionsread 6 November 2026
Photo

Есть ли смысл держать дивидендный портфель на ИИС? После прошлого поста про ИИС коллега задал два вопроса: что дает ИИС долгосрочному инвестору с дивидендным портфелем и можно ли перенести туда уже купленные бумаги? Попробую разложить вопрос на части и поделиться своим мнением. Что с налогом на дивиденды? ИИС не освобождает сами дивиденды от НДФЛ. Для нас (инвесторов) действует шкала 13–15%: повышенная ставка при…

🤝35❤17🐳2

15 Oct 2026, 07:05 UTC≈2,880 views52 reactionsread 6 November 2026
Photo

Зачем мне ИИС, если можно спокойно инвестировать на брокерском счете? Этот вопрос частенько всплывает в наших обсуждениях. Хочу еще раз зафиксировать основные мысли. Формировать капитал можно и на обычном брокерском счете. Но у ИИС я вижу два существенных преимущества. 1. Помощь в сохранении капитала Когда портфель становится заметным, появляется соблазн потратить деньги на незапланированную покупку. Досрочное з…

🔥38❤12🐳2

Showing the 12 most recent of 53 posts we hold for @academnsp. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“Академия НЕсложного процента” (@academnsp), 7,652 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/academnsp.

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.