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 83% 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
38 measurements spanning 68 days, net -611. 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 43,007–43,802 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)
Subscribers
Change
14 Oct 2026, 16:50
43,099
-11
13 Oct 2026, 07:36
43,110
-17
9 Oct 2026, 00:37
43,127
-20
4 Oct 2026, 13:00
43,147
-91
26 Sept 2026, 06:56
43,238
-59
19 Sept 2026, 10:00
43,297
-27
17 Sept 2026, 00:01
43,324
-24
15 Sept 2026, 00:00
43,348
-15
13 Sept 2026, 08:57
43,363
-23
11 Sept 2026, 12:35
43,386
-23
8 Sept 2026, 18:40
43,409
-51
5 Sept 2026, 11:39
43,460
-19
3 Sept 2026, 15:21
43,479
-10
2 Sept 2026, 06:05
43,489
-11
1 Sept 2026, 04:44
43,500
-14
31 Aug 2026, 01:37
43,514
-5
30 Aug 2026, 02:46
43,519
-6
29 Aug 2026, 03:17
43,525
-9
28 Aug 2026, 02:44
43,534
-1
27 Aug 2026, 00:16
43,535
first reading
Engagement
169 posts held, back to 30 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 132 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.05%
avg views ÷ 43,099 subscribers
Avg views / post
2,170
63 posts measured
Reaction rate
0.669%
reactions ÷ views · ER floor
Posts in window
63
of 169 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 14 October 2026
Posts held
169 (30 July 2026 – 14 October 2026)
Views total
137,015
Reactions total
916
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Oct 2026, 14:42 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
54m 46s
Average length
1m 15s
Measured directly from 44 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
3,025 reactions across 169 posts, in 20 distinct kinds. The most used accounts for 32.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
978
32.3%
😁
517
17.1%
🔥
427
14.1%
👍
411
13.6%
👀
182
6.02%
😎
165
5.45%
👌
120
3.97%
🤔
99
3.27%
💯
39
1.29%
👎
18
0.595%
🤝
15
0.496%
💔
14
0.463%
😢
13
0.43%
⚡
10
0.331%
😐
4
0.132%
👏
3
0.099%
🤓
3
0.099%
🤩
3
0.099%
🥰
3
0.099%
🌚
1
0.033%
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 169 of the 169 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 3,025 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 169 most recent posts we hold, published 30 July 2026 to 14 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.
📢 С 2027 года начнет действовать ФСБУ 9/2025 «Доходы»
Но прежде чем работать по новым правилам, нужно выбрать способ перехода — от него зависит, придется ли пересчитывать показатели прошлых лет.
➡️ В карточках сравнили три варианта перехода, разобрали упрощения и собрали шаги для подготовки. Сохраняйте себе, а полный разбор изменений и примеры формулировок для учетной политики — в статье.
✨ Канал в Максе | Канал в…
🧉 Оклад, премии, районный коэффициент, дни без содержания — все это нужно учесть при расчете зарплаты сотрудника
В видео показываем, как работать с начислениями в карточке сотрудника в Экстерне: какие из них добавляются автоматически и как учитывать периоды, когда сотрудник отработал не полный месяц.
Больше о работе в Экстерне и его возможностях для расчета зарплаты — в нашем курсе по учету. Там собраны записи веби…
🛒 Товар действительно приехал на склад, есть УПД, счет-фактура, накладные и платежки. Значит, с налоговой точки зрения все в порядке? Не всегда.
В авторской колонке на Бухонлайне Светлана Беляева, основатель и руководитель «Академии Финансов и Налогов «АФиНА“», разбирает, почему реальная поставка сама по себе не исключает налоговые риски.
Наличие первичных документов подтверждает операцию, но не доказывает отсутств…
Есть особый вид сообщений: те, которые приходят сразу после отправки отчетности...
Ставьте 🔥, если знакомо
Уже 40 000 бухгалтеров в сообществе — присоединяйтесь
🔍 Почему одни компании попадают в поле зрения налоговой, а другие — нет?
Данные отчетности и ККТ, сведения из госреестров и других источников — у налоговой уже есть большой объем информации о налогоплательщике. Но что именно она анализирует и какие ситуации могут привлечь внимание инспекции?
Разобраться поможет бесплатный демо-курс «Налоговый контроль: как правильно взаимодействовать с налоговыми органами». Его авт…
🔔 С 1 октября изменился контроль за доходами иностранных работников
Теперь МВД ежеквартально получает от ФНС сведения о доходах иностранцев, работающих в России.
А с 1 января 2027 года начнут действовать новые требования к уровню дохода: если он окажется ниже установленного норматива или сведения о доходах не поступят, патент или разрешение на работу могут не выдать или аннулировать.
Но это только одно из правил, …
А потом кто-нибудь обязательно спросит: «А что ты сегодня весь день делала?»
Ставьте 🔥, если узнали свой рабочий день
Уже 40 000 бухгалтеров в сообществе — присоединяйтесь
Вопрос № 1. Компания наняла экспедитора для организации перевозки, но груз во владение ему не передавала. Кто в этой схеме подписывает электронный заказ-заявку с перевозчиком и формирует ЭТрН?
Экспедитор: он организатор перевозки и подписывает заказ-заявку с перевозчиком и формирует ЭТрН.30%
Компания-заказчик, ведь экспедитор не принял груз во владение.51%
Перевозчик: он формирует ЭТрН сам, а заказ-заявка не нужна — достаточно договора перевозки.19%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🗓 До 2027 года осталось меньше года, а вы уже готовы работать по-новому?
С 2027-го вступают в силу новые ФСБУ по доходам и расходам, а с 2026-го бумажные перевозочные документы окончательно уходят в прошлое.
Давайте проверим, насколько вы готовы к работе по новым правилам. Два вопроса из реальной практики: один — про роли и ЭПД в логистике, второй — про признание выручки. Еще больше практических ситуаций эксперты р…
🔥 Лучшие ИИ‑редакторы документов для бухгалтера
Распознавание, перевод из аудио в текст, анализ таблиц, сравнение данных — задачи, которые часто встречаются в рутине бухгалтера и отнимают много времени. Справляться с ними быстрее помогают нейросети. Рассказываем, какие ИИ-сервисы упростят работу с текстовыми документами.
➡️ Читать
А вы для каких задач используете ИИ-помощников?
🔥 — для множества, ИИ в работе ежедн…
🤔6🔥4👍2❤1
Showing the 12 most recent of 169 posts we hold for @externjournal. 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.
Polls
The 6 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.
Вопрос № 1. Компания наняла экспедитора для организации перевозки, но груз во владение ему не передавала. Кто в этой схеме подписывает электронный заказ-заявку с перевозчиком и формирует ЭТрН?
Экспедитор: он организатор перевозки и подписывает заказ-заявку с перевозчиком и формирует ЭТрН.30%
Компания-заказчик, ведь экспедитор не принял груз во владение.51%
Перевозчик: он формирует ЭТрН сам, а заказ-заявка не нужна — достаточно договора перевозки.19%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Можно ли признать расходы, если электронные перевозочные документы подписали еще не все участники перевозки?
Да, если документ подписал перевозчик.11%
Да, если документ уже передан в ГИС ЭПД.25%
Нет, только после завершения документооборота.65%
Shares as published, totalling 101%. 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 169 most recent posts we hold, published 30 July 2026 to 14 October 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
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Федеральная Налоговая Служба России @fnsrfinfo · 2,244#94
Read from Telegram’s recommendation API, most recently 28 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Контур для предпринимателя @konturelba · 26,191 Telegram ranks this channel #3 of 67 here — alongside 66 others — read 12 September 2026
Налог-Налог.ру @nalognalogru · 24,744 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 15 September 2026
Журнал "Упрощёнка" @uproshchenka · 22,782 Telegram ranks this channel #9 of 95 here — alongside 94 others — read 19 September 2026
Журнал "Главбух" @eglavbukru · 82,683 Telegram ranks this channel #9 of 96 here — alongside 95 others — read 18 August 2026
Типичный Бухгалтер @typical_buh · 19,925 Telegram ranks this channel #10 of 98 here — alongside 97 others — read 29 September 2026
Контур @skbkontur_official · 25,276 Telegram ranks this channel #10 of 97 here — alongside 96 others — read 14 September 2026
Система Главбух @sistemaglavbukh · 25,752 Telegram ranks this channel #14 of 95 here — alongside 94 others — read 13 September 2026
Переводчик с бухгалтерского @accwhisper · 50,619 Telegram ranks this channel #14 of 96 here — alongside 95 others — read 25 August 2026
Нетипичный бухгалтер 🥇 @netipichniy_buh · 78,195 Telegram ranks this channel #17 of 94 here — alongside 93 others — read 19 August 2026
Бухучет, налоги, 1С @buhru · 35,316 Telegram ranks this channel #18 of 95 here — alongside 94 others — read 2 September 2026
1С для бухгалтера ❤️ @buhi1c · 37,851 Telegram ranks this channel #19 of 89 here — alongside 88 others — read 31 August 2026
Бухучет и налоги от «Клерк.Ру» @klerkonline · 20,384 Telegram ranks this channel #26 of 95 here — alongside 94 others — read 27 September 2026
Канал "Учёт без забот" @uchetbezzabot_1c · 39,500 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 30 August 2026
Бухгалтерский юмор 🤪 @buhast · 31,141 Telegram ranks this channel #30 of 82 here — alongside 81 others — read 6 September 2026
Бухгалтерский квартал @buhgalteriaLL · 22,327 Telegram ranks this channel #48 of 94 here — alongside 93 others — read 20 September 2026
ФНС России @nalog_gov_ru · 89,718 Telegram ranks this channel #48 of 96 here — alongside 95 others — read 17 August 2026
Налоги для предпринимателей @businessololo · 24,474 Telegram ranks this channel #49 of 94 here — alongside 93 others — read 15 September 2026
Рабочие лайфхаки: секреты и советы @lifehackoftheday · 25,727 Telegram ranks this channel #50 of 97 here — alongside 96 others — read 13 September 2026
Бухэксперт @buhexpert8 · 75,513 Telegram ranks this channel #51 of 94 here — alongside 93 others — read 19 August 2026
Евгения Мемрук бухгалтер @biznesinalogi_tlg · 82,085 Telegram ranks this channel #58 of 94 here — alongside 93 others — read 18 August 2026
Оксана Каверина | бухгалтерия, налоги и финансы @upb_nalogi · 37,032 Telegram ranks this channel #79 of 92 here — alongside 91 others — read 1 September 2026
This channel appears in 21 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 14 October 2026 — this
entry's latest reading, not the date you are reading this.
“Контур для бухгалтера” (@externjournal), 43,099 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/externjournal.
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.