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Channel

КУРСЫ ПО ПРОДАЖАМ УФА

@schoollifeufa

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

6,712subscribers

-572 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-1002756767027
TypeChannel
Username@schoollifeufa
DescriptionШкола Руслана Алеева обучение продажам с нуля.
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live1 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 1 November 2026
On Telegramt.me/schoollifeufa

Topic

Job listings — 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 76% 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.

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 2 other registered channels. 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
@schoollifeorenburg1/259323 Apr 2026, 03:36 UTC@schoollifeufa/363 · this entry23 Apr 2026, 03:37 UTC1.00under a minute
@schoollifeorenburg1/259524 Apr 2026, 07:20 UTC@schoollifeufa/365 · this entry24 Apr 2026, 07:21 UTC0.98under a minute
@schoollifeufa/366 · this entry25 Apr 2026, 05:40 UTC@schoollifeorenburg1/259625 Apr 2026, 05:44 UTC0.973 minutes
@schoollifeorenburg1/258916 Apr 2026, 04:16 UTC@schoollifeufa/358 · this entry16 Apr 2026, 04:17 UTC0.96under a minute
@schoollifeufa/357 · this entry15 Apr 2026, 04:19 UTC@schoollifeorenburg1/258815 Apr 2026, 04:20 UTC0.962 minutes
@schoollifemagnitka/37723 Apr 2026, 03:36 UTC@schoollifeufa/363 · this entry23 Apr 2026, 03:37 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@schoollifeorenburg19 (8/8 hand-verifiable sample passed)0.9772 seconds@schoollifeorenburg1 (5–4)
@schoollifemagnitka9 (8/8 hand-verifiable sample passed)0.97under a minute@schoollifemagnitka (6–3)

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 11 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 12 April 2026 to 7 July 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 3, the earliest publisher we hold is @schoollifemagnitka. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 8 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 2 other registered channels, 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

6,7127,2846,9987 August 2026 — 7,284 subscribers7 August 2026 — 7,284 subscribers7 August 2026 — 7,281 subscribers10 August 2026 — 7,255 subscribers13 August 2026 — 7,242 subscribers17 August 2026 — 7,213 subscribers19 August 2026 — 7,199 subscribers23 August 2026 — 7,183 subscribers25 August 2026 — 7,166 subscribers28 August 2026 — 7,154 subscribers31 August 2026 — 7,131 subscribers3 September 2026 — 7,114 subscribers8 September 2026 — 7,089 subscribers12 September 2026 — 7,063 subscribers16 September 2026 — 7,047 subscribers27 September 2026 — 6,961 subscribers5 October 2026 — 6,907 subscribers11 October 2026 — 6,863 subscribers14 October 2026 — 6,846 subscribers17 October 2026 — 6,835 subscribers20 October 2026 — 6,826 subscribers23 October 2026 — 6,806 subscribers26 October 2026 — 6,801 subscribers29 October 2026 — 6,781 subscribers1 November 2026 — 6,712 subscribers7 August 20261 November 2026
25 measurements spanning 86 days, net -572. 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 6,626–7,370 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
1 Nov 2026, 15:366,712-69
29 Oct 2026, 12:286,781-20
26 Oct 2026, 05:166,801-5
23 Oct 2026, 15:546,806-20
20 Oct 2026, 08:286,826-9
17 Oct 2026, 18:266,835-11
14 Oct 2026, 17:006,846-17
11 Oct 2026, 17:596,863-44
5 Oct 2026, 10:396,907-54
27 Sept 2026, 17:206,961-86
16 Sept 2026, 02:557,047-16
12 Sept 2026, 17:417,063-26
8 Sept 2026, 21:207,089-25
3 Sept 2026, 19:407,114-17
31 Aug 2026, 21:367,131-23
28 Aug 2026, 20:557,154-12
25 Aug 2026, 23:027,166-17
23 Aug 2026, 05:237,183-16
19 Aug 2026, 23:557,199-14
17 Aug 2026, 09:367,213first reading

Engagement

23 posts held, back to 12 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.566%
avg views ÷ 6,712 subscribers
Avg views / post
38.0
1 post measured
Reaction rate
2.63%
reactions ÷ views · ER floor
Posts in window
1
of 23 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 14 October 2026
Posts held23 (12 April 2026 – 14 October 2026)
Views total38
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 10:09 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
181
Videos
88
Links
24

Lifetime counters from Telegram’s own channel header, read 4 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
3m 48s
Average length
29s

Measured directly from 8 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

149 reactions across 22 posts, in 12 distinct kinds. The most used accounts for 24.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥3724.8%
❤3322.1%
🔥3020.1%
👍1610.7%
🥰1510.1%
👏74.70%
💯32.01%
🤣32.01%
🤩21.34%
🐳10.671%
🤪10.671%
🤯10.671%

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 23 of the 23 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 149 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 12 April 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 1 post 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).

14 Oct 2026, 05:28 UTC38 views1 reactionsread 4 November 2026

Не ждите музу: почему профессионалы работают по графику, а любители — по настроению! ☺️ Ждете идеального момента, чтобы начать проект? У нас плохая новость: идеальный момент не наступит никогда. Как говорил Стивен Кинг: «Муза должна знать, где вас искать — а искать она вас должна за работой». В этом и разница: профессионалы работают по графику, а любители — по настроению. Пока вы ждете настрой, конкуренты действуют…

❤‍🔥1

25 Aug 2026, 09:13 UTC107 views8 reactionsread 4 November 2026
Photo

КУРС ПО ПРОДАЖАМ В УФЕ С НУЛЯ 🚀 Открыт набор на курс по продажам в Уфе для начинающих и тех, кто хочет повысить свои результаты и доход. На курсе вы научитесь: ✨ находить подход к клиентам; 🗣️ уверенно вести диалог; 💬 выявлять потребности; 🤝 работать с возражениями; 🔥 презентовать продукт и закрывать сделки; 💰 увеличивать эффективность продаж. Опыт не требуется — обучение с нуля. 📍 Уфа 📚 Практические навыки продаж 🎯…

🔥4❤3👏1

8 Aug 2026, 07:13 UTC142 views3 reactionsread 4 November 2026

Менеджер по продажам Хочешь сам решать, сколько зарабатывать и когда работать? 💸 Мы в поиске амбициозных людей в команду продаж! Опыт не важен мы ценим огонь в глазах и дикое желание расти. У нас ты пройдешь путь от новичка до профи с поддержкой на каждом шагу. Что мы предлагаем (Условия): Честный доход без потолка: оклад + % от продаж + KPI. Каждый выжимает максимум, ограничений нет! Формат работы (Офлайн + Онлайн):…

❤‍🔥3

7 Jul 2026, 08:53 UTC196 views5 reactionsread 4 November 2026
Video

Любитель — часто ждет, что всему научат после вуза или уже на съемочной площадке. Ему обычно требуется больше времени, чтобы освоиться в процессе. Профессионал — быстро включается в работу, четко выполняет задачи режиссера и понимает специфику съемочного процесса. Даже опытные театральные актеры могут сталкиваться с трудностями в кино, потому что работа перед камерой — это отдельная профессия со своими правилами и те…

❤5

29 Jun 2026, 19:58 UTC273 views7 reactionsread 4 November 2026
Video

Video, posted without a caption

👏3🤣3🔥1

26 Jun 2026, 08:31 UTC207 views0 reactionsread 4 November 2026
Forwarded from @wearefromUfaVideo message

Video message, posted without a caption

1 May 2026, 07:47 UTC446 views8 reactionsread 4 November 2026
Photo

Друзья, приглашаем вас на важное событие! Уже завтра состоится отчетный показ учеников нашей школы актерского мастерства🤩 Это не просто отчет - это живая, искренняя работа тех, кто несколько месяцев постигал азы актерского мастерства. Приходите поддержать начинающих артистов! Зритель для них сейчас - главный учитель и вдохновитель. 🗓 Когда: 2 мая, 15:00 📍 Где: г.Уфа, ул.Энтузиастов 20, ТРЦ Планета, «Дом Культуры» …

👍4❤‍🔥3🔥1

29 Apr 2026, 09:23 UTC339 views11 reactionsread 4 November 2026
Photo

Меня зовут Яна, я выпускница годового курса мастерской Анны Коренько. В том году я начала с интенсива, дальше, не раздумывая, приняла решение продлить обучение и перешла на более углубленный и серьезный уровень - годовой курс. 🤌 Я скажу честно, что ни о чем в итоге не пожалела, потому что за это время я раскрепостилась, обрела уверенность, познакомилась с актерским ремеслом и миром театра. Каждую неделю я ждала занят…

❤3🔥3👍2❤‍🔥1🐳1🥰1

27 Apr 2026, 04:31 UTC195 views4 reactionsread 4 November 2026
Photo

🔕«Выключить» тревогу и «включить» уверенность: зачем обычному человеку управление эмоциями Мы привыкли думать, что эмоции - это то, что случается с нами, нахлынула обида - мы молчим, накрыл гнев - говорим лишнего, испугались важного звонка - сели в лужу. 🤓☝️Но актеры знают секрет: эмоция - это не стихийное бедствие, а инструмент, и им можно научиться пользоваться. Многие боятся своих эмоций: одни подавляют, другие в…

❤‍🔥2👍1🔥1

25 Apr 2026, 05:40 UTC163 views4 reactionsread 4 November 2026
Photo

🫂Ты можешь больше, чем думаешь! Ведем набор на курсы актерского и ораторского мастерства🤌 Чувствуете, что голос садится в самый ответственный момент? Тело деревенеет, когда нужно сказать тост? Или вы «читаете» текст, а не играете его? 🚫 Пора это менять! Забудьте про зажимы и скованность, это не лекции, это 100% практика.🤌Что мы будем делать? Снимем спазмы с диафрагмы, уберем «деревянные» плечи, ваш голос зазвучит г…

🔥2👏1🥰1

24 Apr 2026, 07:21 UTC148 views5 reactionsread 4 November 2026
Video

😮‍💨После 25 так часто хочется выдохнуть и... просто быть. Знакомо? Вы делаете всё правильно. Работа, ипотека/аренда, быт, планы, а внутри - комок или глухая стена, или трясёт перед важным звонком.Ваше тело устало зажиматься, ваш голос устал быть тихим и ровным, ваши эмоции устали ждать разрешения выйти наружу. Мы научим вас быть живыми.🤝 Мы открываем набор на курсы для тех, кому 25+. Зачем это вам, если вы не собир…

❤‍🔥3👍1💯1

23 Apr 2026, 12:04 UTC117 views6 reactionsread 4 November 2026
Video

Попробовать ещё раз. Страшно? Да! Но разве это страшнее, чем не сделать вообще ничего? 🤓Мы очень часто сталкиваемся с огромным количеством страхов, которые съедают нас и не дают сделать абсолютно ничего и ты сидишь в этой «мертвой» точке, съедая себя ещё больше от бездействия. А что, если отключить внутри себя кнопку страха, не задумываясь просто взять и сделать. 🕹️Просто записаться на занятие, просто прийти без каки…

🔥3❤‍🔥1👍1🥰1

Showing the 12 most recent of 23 posts we hold for @schoollifeufa. 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.

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

“КУРСЫ ПО ПРОДАЖАМ УФА” (@schoollifeufa), 6,712 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/schoollifeufa.

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.