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Channel

Interra | Школа профессий

@interrabz

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

7,909subscribers

-19 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-1001155113180
TypeChannel
Username@interrabz
CreatedBetween 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/interrabz

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 11 August 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.

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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@interra_ai/50520 Jun 2026, 06:11 UTC@interrabz/1968 · this entry20 Jun 2026, 06:44 UTC1.0033 minutes
@interra_ai/50621 Jun 2026, 06:37 UTC@interrabz/1969 · this entry21 Jun 2026, 06:46 UTC1.009 minutes
@interra_ai/50924 Jun 2026, 13:20 UTC@interrabz/1972 · this entry24 Jun 2026, 13:23 UTC1.002 minutes
@interra_ai/51025 Jun 2026, 06:03 UTC@interrabz/1973 · this entry25 Jun 2026, 06:04 UTC1.0072 seconds
@interra_ai/5161 Jul 2026, 06:30 UTC@interrabz/1979 · this entry1 Jul 2026, 06:30 UTC1.00under a minute
@interra_ai/5172 Jul 2026, 06:40 UTC@interrabz/1980 · this entry2 Jul 2026, 06:41 UTC1.0072 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@interra_ai20 (8/8 hand-verifiable sample passed)1.0072 seconds@interra_ai (146)

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 14 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 21 comparable posts for this entry, running 19 June 2026 to 7 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 @interra_ai. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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

7,9097,9287,918.56 August 2026 — 7,928 subscribers6 August 2026 — 7,928 subscribers6 August 2026 — 7,925 subscribers9 August 2026 — 7,918 subscribers12 August 2026 — 7,909 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net -19. 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 7,906–7,931 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 20:187,909-9
9 Aug 2026, 20:337,918-7
6 Aug 2026, 23:027,925-3
6 Aug 2026, 18:157,928no change
6 Aug 2026, 18:097,928first reading

Engagement

26 posts held, back to 19 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.966%
avg views ÷ 7,909 subscribers
Avg views / post
76.4
8 posts measured
Reaction rate
2.27%
reactions ÷ views · ER floor
Posts in window
8
of 26 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 7 of 8 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 12 August 2026
Posts held26 (19 June 202612 August 2026)
Views total611
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:00 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.

Reaction mix

19 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 47.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍947.4%
631.6%
❤‍🔥315.8%
👎15.26%

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 12 of the 26 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 19reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 19 June 2026 to 12 August 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

12 Aug 2026, 07:29 UTC39 viewsread 12 August 2026

"У меня нет времени учиться" - и почему это не совсем так ⏳Это, пожалуй, самое частое возражение, которое мы слышим, когда речь заходит про ИИ или автоматизацию. И оно звучит логично: работа, дедлайны, клиенты - какое тут ещё обучение, если и так еле успеваешь. Но если присмотреться, за этой фразой обычно прячется не нехватка времени, а определённая картинка в голове: обучение - это курс на несколько месяцев, лекции

11 Aug 2026, 06:34 UTC61 views1 reactionsread 12 August 2026

Готовы ли ваши тексты к тому, что их будет читать ИИ? 🔍Ещё пару лет назад алгоритм действий маркетолога был понятен: пишешь текст под ключевые запросы, оптимизируешь под поисковик, ждёшь трафик из выдачи. Сейчас эта схема начинает "буксовать", потому что рядом с SEO появился другой канал. Всё больше людей вообще не заходят на сайты. Они задают вопрос в ChatGPT, Perplexity или встроенном ИИ-поиске - и получают готовы

👎1

10 Aug 2026, 06:55 UTC75 views2 reactionsread 12 August 2026

Кто владеет правами на текст/код, созданный ИИ? ⚖️Вопрос, который рано или поздно задаёт себе каждый, кто зарабатывает текстами, кодом или дизайном с помощью ИИ: а если это создал не я, а нейросеть - можно ли это вообще продавать как своё? Разбираемся без юридического жаргона. Как это устроено в России По Гражданскому кодексу автором может быть только человек - тот, чьим творческим трудом создано произведение. Нейро

👍2

9 Aug 2026, 07:47 UTC72 views3 reactionsread 12 August 2026

Как отдыхать, если ты работаешь из дома 🛋На удалёнке есть один парадокс, о котором редко говорят прямо: свободного времени формально больше, а уставать почему-то начинаешь быстрее. Причина обычно не в объёме работы, а в том, что исчезает граница между «работаю» и «отдыхаю». В офисе эту границу рисовала сама обстановка: дорога домой, переодевание, смена помещения. Мозг получал понятный сигнал «рабочий день закончен».

❤‍🔥3

8 Aug 2026, 07:38 UTC79 views3 reactionsread 12 August 2026

Синдром самозванца: инструкция по применению 🎭Если вы сейчас осваиваете что-то новое - ИИ, вайбкодинг, новую профессию - и периодически ловите мысль «я не настоящий специалист, скоро все поймут» - это не сбой. Это довольно закономерная штука. Причём чаще всего синдром самозванца обостряется не в застое, а именно в росте. Пока вы делаете привычные вещи - всё спокойно. Как только беретесь за новый уровень задач - мозг

3

7 Aug 2026, 06:26 UTC91 views2 reactionsread 12 August 2026

Безопасно ли делегировать ИИ свои данные? 🔐Один из самых частых вопросов, которые я слышу от людей, начинающих работать с ИИ: «А что если я случайно солью куда-то данные клиента?» Страх понятный. Особенно у тех, кто работает с чужой информацией - маркетологов, фрилансеров, предпринимателей. Кажется, что стоит один раз что-то не то скопировать в чат с нейросетью - и всё, конфиденциальность нарушена. На практике всё р

1👍1

6 Aug 2026, 07:10 UTC87 views1 reactionsread 12 August 2026

За последний месяц в мире нейросетей много новостей - собрали некоторые из них в дайджест, вдруг вы пропустили 😉 ⚖️ Регулирование: 🔹Был принят первый закон об ИИ - Федеральный закон № 243-ФЗ «О поддержке развития технологий искусственного интеллекта». Теперь владельцы крупных онлайн-площадок (аудитория >500 тыс.) обязаны маркировать контент, созданный нейросетями. Для пользователей - больше прозрачности: будем чаще

👍1

5 Aug 2026, 12:35 UTC107 views1 reactionsread 12 August 2026

Всем привет 👋 Мы вернулись после небольшого перерыва - лето, отпуска, перезагрузка. За окном уже август, последний месяц лета, а в голове фраза из песни 😅: Я так хочу, чтобы лето не кончалось… 🏝 Надеемся, у вас было время на отдых, на тишину, на то, чтобы просто быть - без планов и дедлайнов. И даже если за это время вы так и не добрались до «того самого» курса, отложили идею «на потом» или просто хотели попробовать

👍1

5 Jul 2026, 07:23 UTC217 viewsread 12 August 2026

Дайджест недели: уверенность, границы и работа с информацией За неделю говорили о том, как сохранять ясность в потоке данных, называть свою цену без оправданий и отличать реальные возможности от мифов о «лёгком доходе». 📄 Как использовать ИИ для саммари: экономия 2 часов в день Информационный шум съедает ресурс. Показали, как превращать длинные статьи, транскрибы встреч и ветки в чатах в сухие факты за минуту. ИИ не

4 Jul 2026, 07:03 UTC156 views2 reactionsread 12 August 2026

Синдром самозванца: инструкция по применению «Мне просто повезло», «Скоро все поймут, что я ничего не умею», «Это не я, это инструмент сделал». Знакомо? От синдрома самозванца не нужно «лечиться». Его нельзя выключить кнопкой. Но можно научиться с ним работать, чтобы он не парализовал действия. ❓ Почему он возникает именно при росте Он включается не когда вы «плохой специалист». А когда вы выходите за пределы привыч

1👍1

3 Jul 2026, 06:50 UTC115 viewsread 12 August 2026

Пассивный доход или активная работа? Мифы и реальность Недавно мы писали о трёх типах цифровых продуктов, которые можно создать без программирования: шаблоны, мини-курсы, боты. И после поста пришёл честный комментарий: «Создать - это полдела. А как это продать? Кто будет покупать?» Это очень важный вопрос. И он вскрывает главный миф о «пассивном доходе»: будто достаточно собрать продукт - и деньги начнут приходить с

2 Jul 2026, 06:41 UTC128 viewsread 12 August 2026

Как назвать свою цену или психология ценообразования 😬Назвать стоимость часто сложнее, чем выполнить саму работу. Пальцы замирают над клавиатурой, а в голове крутится: «А вдруг скажут „дорого"?» И это не про нехватку опыта, а скорее про психологию. Мы боимся называть сумму, потому что: ➖ путаем цену услуги со своей личной ценностью; ➖ заранее готовим оправдания на случай отказа; ➖ ждём, что клиент сам предложит бюдж

Showing the 12 most recent of 26 posts we hold for @interrabz. 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.

Citation-graph rank

Citation-graph rank — 1,058,801 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Interra | Школа профессий” (@interrabz), 7,909 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/interrabz.

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.