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Channel

(Не)Системная аналитика by Андрей Царев

@notsystemanalysis

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

7,198subscribers

-329 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001964400115
TypeChannel
Username@notsystemanalysis
DescriptionПолезные материалы: https://t.me/notsystemanalysis_bot?sta Вкатиться в ИТ: https://notsystemanalysis.ru/ Boosty: https://boosty.to/notsystemanalysis Ютуб: https://youtube.com/@notsystemanalysis По вопросам: @reaperxu Рекламы курсов и телеграм каналов нет
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/notsystemanalysis

Topic

Other / unclassifiable — 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 32% 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

7,1707,5747,3726 August 2026 — 7,527 subscribers7 August 2026 — 7,530 subscribers10 August 2026 — 7,536 subscribers13 August 2026 — 7,540 subscribers16 August 2026 — 7,547 subscribers19 August 2026 — 7,550 subscribers23 August 2026 — 7,551 subscribers26 August 2026 — 7,549 subscribers29 August 2026 — 7,556 subscribers1 September 2026 — 7,551 subscribers5 September 2026 — 7,559 subscribers10 September 2026 — 7,571 subscribers18 September 2026 — 7,574 subscribers28 September 2026 — 7,565 subscribers6 October 2026 — 7,170 subscribers12 October 2026 — 7,180 subscribers15 October 2026 — 7,190 subscribers19 October 2026 — 7,196 subscribers22 October 2026 — 7,195 subscribers25 October 2026 — 7,199 subscribers27 October 2026 — 7,202 subscribers31 October 2026 — 7,204 subscribers3 November 2026 — 7,198 subscribers6 November 2026 — 7,200 subscribers10 November 2026 — 7,198 subscribers7,1986 August 202610 November 2026
25 measurements spanning 95 days, net -329. 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 7,109–7,635 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
10 Nov 2026, 01:407,198-2
6 Nov 2026, 14:497,200+2
3 Nov 2026, 16:547,198-6
31 Oct 2026, 07:317,204+2
27 Oct 2026, 21:277,202+3
25 Oct 2026, 05:457,199+4
22 Oct 2026, 10:097,195-1
19 Oct 2026, 07:317,196+6
15 Oct 2026, 22:497,190+10
12 Oct 2026, 21:067,180+10
6 Oct 2026, 01:587,170-395
28 Sept 2026, 10:027,565-9
18 Sept 2026, 16:167,574+3
10 Sept 2026, 12:197,571+12
5 Sept 2026, 05:007,559+8
1 Sept 2026, 15:537,551-5
29 Aug 2026, 09:377,556+7
26 Aug 2026, 05:057,549-2
23 Aug 2026, 13:277,551+1
19 Aug 2026, 17:547,550first reading

Engagement

45 posts held, back to 16 April 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 37 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
26.0%
avg views ÷ 7,198 subscribers
Avg views / post
1,870
13 posts measured
Reaction rate
1.33%
reactions ÷ views · ER floor
Posts in window
13
of 45 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 13 November 2026
Posts held45 (16 April 2026 – 13 November 2026)
Views total24,330
Reactions total324
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 01:09 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
169
Videos
17
Links
178

Lifetime counters from Telegram’s own channel header, read 14 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.

Reaction mix

2,147 reactions across 45 posts, in 9 distinct kinds. The most used accounts for 31.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🌭67731.5%
❤56726.4%
🔥54125.2%
🐳23210.8%
🍌452.10%
🤣311.44%
💅241.12%
custom 5433898726324183398221.02%
🗿80.373%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 45 of the 45 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 2,147 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 16 April 2026 to 13 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.

Telegram Stars

Stars received
13
across the posts below
Posts paid on
11
of 45 we hold a reading for · 24%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @notsystemanalysis. 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 45 most recent posts we hold for this entry, published 16 April 2026 to 13 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 5 of 13 posts held from the last 30 days (38.5%) 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).

13 Nov 2026, 09:53 UTC720 views31 reactionsread 14 November 2026

Вышло видео про кафку Месяц назад я писал, что кафка - отстой. Мнение не поменял, но видео все-таки записал))) Сначала теория: зачем она вообще нужна, топики и партиции, оффсеты, консюмер-группы, гарантии доставки и чем кафка отличается от рэббита. Отдельно рассказал, как аналитику описывать интеграцию через кафку, и дал чек-лист постановки. Во второй половине практика. Поднимаем кафку в докере, создаем топик, кид…

🔥21❤7🐳3

10 Nov 2026, 13:19 UTC≈1,260 views16 reactionsread 14 November 2026

Posted without readable text

🔥10🌭3🐳3

6 Nov 2026, 14:25 UTC≈1,690 views19 reactionsread 14 November 2026
Photo

Стрим «Из чата в рабочее место аналитика: собираем агента в Codex» 📅 10 ноября, 19.30 по Москве На прошлом стриме мы разбирались, почему нейронка выдумывает требования и как ставить ей задачу, чтобы она этого не делала. Но каждый раз объяснять всё заново в чате быстро надоедает. Поэтому в этот раз пойдём дальше: соберём в Codex помощника, который знает правила проекта, сам читает ТЗ и пишет описание метода в файл. …

🔥10🐳6❤3

2 Nov 2026, 10:52 UTC≈1,940 views21 reactions2 Starsread 14 November 2026

Вспомнил тут кейс с требованиями и решил разобрать Требование звучит так: "Подписка продлевается автоматически за три дня до окончания" Естественно, когда клиент отменяет подписку, деньги все равно списываются. Что не так и что нужно, чтобы не допустить такой ситуации: При проверке требование было адекватным. Но. Проблема в том, что в одной строке спрятано штук пять решений. Если их не принять явно, их примет разр…

🔥16🐳4❤1

31 Oct 2026, 11:52 UTC≈1,730 views20 reactionsread 14 November 2026

Спасибо всем, кто был на стриме в четверг! Если коротко, главная мысль такая: нейронка выдумывает, потому что ей не разрешили сказать «не знаю». Разрешите ей ставить TBD и выносить допущения отдельным списком, и выдуманных полей станет заметно меньше. Это помогает сильнее, чем модель подороже Запись и шпаргалку можно забрать по кнопке ниже А ещё на стриме рассказал про курс «Продвинутый системный аналитик», он ста…

🔥14❤3🐳3

30 Oct 2026, 08:19 UTC≈2,130 views34 reactionsread 14 November 2026
Photo

Вчера Claude провёл очередную волну блокировок… …и заблокировал меня. Было много новостей о блокировках и много волн банов, но я думал, что меня это точно не коснется. А вчера с утра вылезло KYC, где надо паспорт прислать и на камеру лицом покрутить. Ну и блокировка следом, ведь из РФ Клодом пользоваться нельзя. Кому рассказывал, все удивлялись, как так получилось. А я не удивлен - сам виноват. Я не парился по пов…

🐳18🔥7🌭4❤3🍌2

28 Oct 2026, 11:54 UTC≈1,950 views21 reactionsread 14 November 2026
Photo

Уже завтра стрим «Почему нейросеть выдумывает требования» Разберём: • почему нейронка додумывает за аналитика и почему модель подороже не спасает • три обычные задачи: написать Swagger по ТЗ, проверить ТЗ и доработать готовый ответ модели • как это выглядит с агентами, когда одна нейронка пишет документацию, а другая её проверяет В конце отдам шпаргалку и поотвечаю на ваши вопросы Регистрируйтесь по ссылке ниже - с…

🌭11❤6🔥4

27 Oct 2026, 14:00 UTC≈1,870 views25 reactionsread 14 November 2026

Как используешь ИИ в работе? Слушал как-то собес ученика. Интервьюер спрашивает: «Как в работе используешь ИИ?» Ответ: «Кидаю ему на ревью спецификацию, SQL, свой вариант решения». Звучит современно. А интервьюер в этот момент слышит другое: «отдаю нейронке то, за что отвечаю сам». Этим вопросом проверяют не то, пользуешься ли ты нейронкой. Пользуются сейчас почти все. Проверяют, понимаешь ли ты, где ее ответу нел…

🔥17🐳4❤3🌭1

24 Oct 2026, 06:49 UTC≈2,060 views39 reactionsread 14 November 2026
Photo

Нейронка опять придумала какую-то херню Попросил ИИ написать Swagger по ТЗ. Получил красивую спецификацию, все поля на месте, коды ответов расписаны. Вроде бы красота, можно отдавать в разработку. Только вот половины полей в исходном ТЗ нет, пару сценариев нейронка придумала сама. И самое забавное, что модель даже не считает, что сделала что-то не так. Ну попросили Swagger, вот тебе Swagger))) Можно, конечно, взя…

🌭27🔥8❤3🗿1

22 Oct 2026, 13:48 UTC≈1,960 views15 reactions1 Starread 14 November 2026

Запись стрима "Главный инструмент ИТ архитектора / Гайд по нотации С4​" https://youtube.com/live/xJYuwjIXVTk https://youtube.com/live/xJYuwjIXVTk https://youtube.com/live/xJYuwjIXVTk Вышла запись стрима с Булатом про нотацию C4. Прошлись по уровням по очереди: C1 на примере маркетплейса, C2 с сервисами, базами и Kafka, а потом подробно разобрали, где заканчивается C2 и начинается C3, в теории и на практике. Во вт…

🔥10❤4🍌1

21 Oct 2026, 10:34 UTC≈2,000 views35 reactionsread 14 November 2026
Video message

Video message, posted without a caption

🔥19❤11🌭4🍌1

19 Oct 2026, 10:02 UTC≈2,500 views38 reactions1 Starread 14 November 2026

Трилогия «О документации» Я реально болею за документацию. Считаю, что если ты делаешь работу, то должен делать ее хорошо и понимать, почему работаешь так, а не иначе. Главный артефакт аналитика это дока, и она должна быть удобна всем, кто ею пользуется. В этих видео хотелось показать весь путь: от базового «пишу документацию руками» до полной автоматизации с помощью ИИ-агентов. Полная и непротиворечивая дока сильн…

🔥26❤8🌭2🐳2

Signed Andrei Tsarev

Showing the 12 most recent of 45 posts we hold for @notsystemanalysis. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @notsystemanalysis 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 November 2026
Most recent seen missing
14 November 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
1

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

Системный анализ | Ольга Пономарева
@system_analyse · 31,145
Telegram ranks this channel #10 of 97 here — alongside 96 others — read 6 September 2026
Системный Аналитик
@sys_sa · 19,116
Telegram ranks this channel #44 of 96 here — alongside 95 others — read 3 October 2026
GetAnalyst - Навыки • Системный анализ • Бизнес-анализ
@getanalysts · 22,714
Telegram ranks this channel #70 of 96 here — alongside 95 others — read 20 September 2026
Системный и Бизнес-анализ
@ba_sa_analytics · 52,458
Telegram ranks this channel #74 of 90 here — alongside 89 others — read 24 August 2026

This channel appears in 4 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“(Не)Системная аналитика by Андрей Царев” (@notsystemanalysis), 7,198 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/notsystemanalysis.

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.