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Channel

Business | System analyst

@ba_and_sa

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

17,803subscribers

-189 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001462487554
TypeChannel
Username@ba_and_sa
Created20 January 2021measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live15 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/ba_and_sa

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 89% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ba_and_sa/2780 · this entry7 Jul 2026, 14:00 UTC@analysis_it/23377 Jul 2026, 14:17 UTC1.0017 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@analysis_it6 (6/6 hand-verifiable sample passed)1.0027 hoursthis entry (51)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 6 July 2026 to 6 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @ba_and_sa — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

17,80317,99417,898.56 August 2026 — 17,992 subscribers6 August 2026 — 17,992 subscribers7 August 2026 — 17,990 subscribers9 August 2026 — 17,994 subscribers10 August 2026 — 17,992 subscribers11 August 2026 — 17,988 subscribers12 August 2026 — 17,983 subscribers13 August 2026 — 17,986 subscribers16 August 2026 — 17,980 subscribers17 August 2026 — 17,983 subscribers18 August 2026 — 17,992 subscribers19 August 2026 — 17,989 subscribers20 August 2026 — 17,938 subscribers21 August 2026 — 17,934 subscribers22 August 2026 — 17,931 subscribers24 August 2026 — 17,925 subscribers25 August 2026 — 17,905 subscribers26 August 2026 — 17,855 subscribers27 August 2026 — 17,861 subscribers28 August 2026 — 17,862 subscribers29 August 2026 — 17,856 subscribers30 August 2026 — 17,853 subscribers31 August 2026 — 17,845 subscribers1 September 2026 — 17,844 subscribers2 September 2026 — 17,841 subscribers4 September 2026 — 17,834 subscribers6 September 2026 — 17,829 subscribers9 September 2026 — 17,834 subscribers11 September 2026 — 17,820 subscribers13 September 2026 — 17,808 subscribers15 September 2026 — 17,803 subscribers6 August 202615 September 2026
31 measurements spanning 39 days, net -189. 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 17,774–18,023 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
15 Sept 2026, 05:4017,803-5
13 Sept 2026, 14:5917,808-12
11 Sept 2026, 22:1917,820-14
9 Sept 2026, 12:3617,834+5
6 Sept 2026, 07:5917,829-5
4 Sept 2026, 01:4217,834-7
2 Sept 2026, 17:2317,841-3
1 Sept 2026, 13:0217,844-1
31 Aug 2026, 12:2517,845-8
30 Aug 2026, 12:5417,853-3
29 Aug 2026, 13:5417,856-6
28 Aug 2026, 16:4317,862+1
27 Aug 2026, 16:1817,861+6
26 Aug 2026, 17:1317,855-50
25 Aug 2026, 15:3217,905-20
24 Aug 2026, 12:4517,925-6
22 Aug 2026, 19:3417,931-3
21 Aug 2026, 08:4817,934-4
20 Aug 2026, 12:1617,938-51
19 Aug 2026, 09:4517,989first reading

Engagement

29 posts held, back to 6 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.3%
avg views ÷ 17,803 subscribers
Avg views / post
2,180
7 posts measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
7
of 29 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 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held29 (6 July 20263 September 2026)
Views total15,273
Reactions total192
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:04 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
29s
Average length
29s

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

719 reactions across 28 posts, in 13 distinct kinds. The most used accounts for 36.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
26536.9%
👍19126.6%
🔥13518.8%
🤣354.87%
💯334.59%
👏162.23%
👌131.81%
🤯111.53%
🥱70.974%
🎉50.695%
😁30.417%
😢30.417%
🙈20.278%

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 28 of the 29 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 719 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 6 July 2026 to 3 September 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

3 Sept 2026, 06:13 UTC573 views36 reactionsread 3 September 2026
Photo

Как выстроить репутацию внутри компании — и почему это не про то, чтобы всем нравиться Салют! Помню, как на третьем году работы мне сказали, что у меня “хорошая репутация в команде”. Я тогда искренне не понимала, что именно я делаю правильно. Просто работала. Потом наблюдала, как коллеги с похожим опытом и знаниями получали разные результаты. Одних звали на интересные проекты, другие годами сидели на одном месте и н

14👏11👍8🔥3

29 Aug 2026, 06:38 UTC≈1,540 views42 reactionsread 3 September 2026
Photo

ТЗ в 2026 году — писать или не писать? Салют! Теперь я хочу поделиться своим мнением на счет ТЗ на разработку в наших реалиях. Знаете что меня до сих пор удивляет? Каждый год кто-нибудь обязательно скажет что ТЗ умерло. Agile победил, итерации рулят, зачем писать документ который устареет через месяц. А потом тот же человек приходит с горящими глазами: “мы сделали не то, заказчик недоволен, кто виноват непонятно”.

16👌13🔥6👍5🙈2

28 Aug 2026, 15:54 UTC≈1,810 views5 reactionsread 3 September 2026
Photo

Стоит ли писать ТЗ на разработку в 2026 году и зачем «Мы не пишем ТЗ, — гордо сказал мне руководитель агентства. — Мы работаем только по Agile». Хочется порассуждать на тему того, нужно ли в 2026 году писать техническое задание на разработку информационного продукта и в каком виде. Или это все замшелые водопадные технологии, которые уже давно прогрессивным разработчикам и вайбкодерам никуда не уперлись. ⏳ 7 мин |

5

25 Aug 2026, 07:19 UTC≈2,390 views28 reactionsread 3 September 2026
Photo

Как повысить зарплату — когда просить и как аргументировать Салют! Сегодня у нас тема, которую все хотят обсудить, но почему-то стесняются. Давайте без стеснения — потому что умение говорить о деньгах это такой же профессиональный навык как умение писать требования. Я несколько раз просила повышения за карьеру. Один раз получила отказ. Остальные — да. Расскажу что работало и что нет. ‼️ Сначала про главную ошибку

15👍9🔥4

21 Aug 2026, 12:09 UTC≈3,660 views18 reactionsread 3 September 2026
Photo

Токсичная команда — кто бывает токсичнее всего и как с этим жить Салют! Про токсичных заказчиков мы уже говорили. Но честно — иногда заказчик милейший человек, а вот внутри команды такое творится что хочется сменить не проект а город. Расскажу про типы которые встречала лично. И сразу скажу: токсичность в команде бьёт по аналитику особенно сильно — потому что мы работаем со всеми одновременно и деваться особо некуда

8👍6🔥2😢2

17 Aug 2026, 06:09 UTC≈2,690 views63 reactionsread 3 September 2026
Photo

Токсичные заказчики — типы которые я встречала и как с ними выживать Салют! За двенадцать лет я работала с самыми разными людьми. Большинство — нормальные, адекватные. Но были и другие. Те после встреч с которыми хочется закрыть ноутбук и уйти в огород. Расскажу про типы которые встречались лично — и что реально помогало с каждым. Тип 1. 🥸 “Я всё знаю лучше” Приходит не с проблемой а с готовым решением. Любые воп

👍43🔥117💯2

14 Aug 2026, 16:55 UTC≈2,900 views8 reactionsread 3 September 2026

Аналитик, или Туда и Обратно: как мы стали «Google на минималках» в мире контейнерной оркестрации ⏳ 7 мин | 🟤⚪️⚪️ Перейти | @ba_and_sa 💙 BA|SA | 💬 BA|SA

7👍1

10 Aug 2026, 11:47 UTC≈3,930 views9 reactionsread 3 September 2026

Когда документация заканчивается, системный аналитик начинает читать код ⏳ 28 мин | 🟤🟤⚪️ Перейти | @ba_and_sa 💙 BA|SA | 💬 BA|SA

7👍1😢1

7 Aug 2026, 12:10 UTC≈3,710 views2 reactionsread 3 September 2026

Как не захлебнуться в User Stories и не утопить в них команду ⏳ 11 мин | 🟤🟤⚪️ Перейти | @ba_and_sa 💙 BA|SA | 💬 BA|SA

2

5 Aug 2026, 11:01 UTC≈2,940 views49 reactionsread 3 September 2026
Photo

Синдром самозванца у опытных — это уже не страх, это кое-что похуже Салют! Когда говорят про синдром самозванца — обычно рисуют образ новичка который боится открыть рот на встрече. Узнала себя, подросла, прошло. Но у опытных специалистов синдром самозванца не исчезает — он мутирует. Становится тише, незаметнее и от этого гораздо опаснее. Я поняла это когда поймала себя на нескольких привычках которые казались абсолю

28👍13🔥7🥱1

4 Aug 2026, 16:06 UTC≈2,260 views4 reactionsread 3 September 2026
Photo

Стать аналитиком данных всего за 10 недель — это реально! Если вы давно смотрите в сторону аналитики или хотите войти в профессию системно, а не одной ногой — сейчас самый подходящий момент. Симулейтив — школа аналитики, где обучают через практику и реальные кейсы, запускает абсолютно новый курс-буткемп - Профессия «Аналитик данных». Курс разделен на 2 этапа, за первые 10 недель вы обучаетесь аналитике и доходите

3👍1

Showing the 12 most recent of 29 posts we hold for @ba_and_sa. 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.

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 3 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.

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 · 31,529
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 6 September 2026
Системный и Бизнес-анализ
@ba_sa_analytics · 51,723
Telegram ranks this channel #12 of 90 here — alongside 89 others — read 24 August 2026
Клуб анонимных аналитиков
@analyst_club · 33,564
Telegram ranks this channel #29 of 96 here — alongside 95 others — read 4 September 2026
Секреты аналитики | Data Science, BI, Tableau
@analytics_secrets · 47,024
Telegram ranks this channel #53 of 85 here — alongside 84 others — read 27 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“Business | System analyst” (@ba_and_sa), 17,803 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/ba_and_sa.

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.