Other / unclassifiable — 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 68% 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. They sit inside a group of 3 channels that share the same post bodies with each other. 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)
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 1 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 23 comparable posts for this entry, running 24 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 3, the earliest publisher we hold is @ProBlzness. 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 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.
24 measurements spanning 25 days, net +126. 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 13,632–13,824 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
1 Sept 2026, 18:55
13,796
-6
31 Aug 2026, 22:07
13,802
+3
30 Aug 2026, 20:16
13,799
+28
29 Aug 2026, 20:05
13,771
+5
28 Aug 2026, 20:23
13,766
+6
27 Aug 2026, 20:11
13,760
+9
26 Aug 2026, 23:35
13,751
+16
25 Aug 2026, 23:11
13,735
+4
24 Aug 2026, 23:23
13,731
+19
23 Aug 2026, 10:27
13,712
+2
21 Aug 2026, 23:29
13,710
+18
20 Aug 2026, 20:56
13,692
+9
18 Aug 2026, 16:26
13,683
-7
17 Aug 2026, 17:45
13,690
+11
16 Aug 2026, 16:38
13,679
+7
14 Aug 2026, 21:36
13,672
+4
13 Aug 2026, 09:16
13,668
+2
12 Aug 2026, 06:36
13,666
+10
11 Aug 2026, 05:46
13,656
+2
10 Aug 2026, 05:40
13,654
first reading
Engagement
46 posts held, back to 24 June 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
43.5%
avg views ÷ 13,796 subscribers
Avg views / post
6,000
26 posts measured
Reaction rate
0.6%
reactions ÷ views · ER floor
Posts in window
26
of 46 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 1 September 2026
Posts held
46 (24 June 2026 – 1 September 2026)
Views total
155,960
Reactions total
935
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 06:21 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
≈2,230
Videos
≈9
Links
≈1,410
Lifetime counters from Telegram’s own channel header, read 2 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
1,586 reactions across 46 posts, in 4 distinct kinds. The most used accounts for 28.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
445
28.1%
👍
424
26.7%
🤯
406
25.6%
🤔
311
19.6%
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 46 of the 46 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 1,586 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 46 most recent posts we hold, published 24 June 2026 to 1 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.
Advertising
Ad load
10.9%
5 of 46 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
4,020
over 5 measured posts
Median views · rest
6,810
over 41 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFH385Q5
1
26 August 2026
26 August 2026
2W5zFHbvZEh
1
1 September 2026
1 September 2026
2W5zFHhPyF7
1
28 August 2026
28 August 2026
2W5zFJVPw85
1
24 August 2026
24 August 2026
2W5zFKAG5wF
1
25 August 2026
25 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 46 most recent posts we hold, published 24 June 2026 to 1 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
🔥Бизнес-идея: сервис по организации корпоративных мероприятий
В современном мире компании всё чаще уделяют внимание командообразованию и мотивации сотрудников. Сервис по организации корпоративных мероприятий может стать востребованным бизнесом.
✔️Что можно предложить:
• разработка и проведение тимбилдингов;
• организация корпоративных праздников и торжеств;
• планирование выездных семинаров и тренингов;
• аренда и …
🔥Как повысить лояльность клиентов: 3 рабочих способа
Лояльность клиентов — ключ к долгосрочному успеху бизнеса. Вот несколько методов, которые помогут её повысить:
1️⃣ Персонализация общения.
Используйте данные о покупках и предпочтениях клиентов для создания персонализированных предложений. Это покажет, что вы цените каждого клиента и учитываете его интересы.
2️⃣ Программа лояльности.
Внедрите систему бонусов, ск…
⚡ Главное ИИ-событие 2026 года
Играть по старым правилам больше нельзя. Теперь приоритет при найме и доля рынка уходят тем, кто ускоряется и показывает эффективность.
📍 БронИИруйте место: 3 сентября в 18:00 пройдёт бесплатная онлайн-конференция по нейросетям от Академии Эдюсон.
Кому будет полезно:
→ предпринимателям, которые хотят масштабировать бизнес, не раздувая ФОТ;
→ руководителям, которым нужно разгрузить се…
Расчёт потенциальной прибыльности бизнеса: что учитывать
1️⃣ Стартовые вложения. Учтите все затраты на запуск: аренду помещения, покупку оборудования, закупку товаров, оплату услуг подрядчиков, маркетинг и т. д. Составьте подробный список и подсчитайте общую сумму.
2️⃣ Ежемесячные расходы. Рассчитайте постоянные (аренда, зарплата, коммунальные услуги) и переменные расходы (закупка товаров, транспортные расходы и т.…
Родители, помогите ребёнку выбрать вуз, который даст не только диплом
При поступлении важно смотреть не только на стоимость обучения или престиж университета.
Гораздо важнее понять, какие возможности вуз даёт студентам во время обучения: помогает ли найти первую работу, организует ли стажировки, сотрудничает ли с работодателями и готовит ли к реальной профессии.
В Университете «Синергия» рассказали, как помогают с…
🧡Как повысить лояльность клиентов: 3 рабочих способа
1️⃣ Персонализация общения. Используйте данные о покупках и предпочтениях клиентов для создания индивидуальных предложений. Обращайтесь к клиентам по имени, учитывайте их интересы — это создаёт ощущение внимания и заботы.
2️⃣ Программа лояльности. Внедрите систему бонусов, скидок или привилегий для постоянных клиентов. Это может быть накопительная система, специа…
✔️Бизнес-идея: Мобильная фитнес-студия «к двери»
Суть: Переоборудованный фургон с тренажёрами и зоной для групповых занятий. Приезжаете в офисы, жилые комплексы, дачные посёлки по расписанию.
🟤Почему перспективно:
🟤73% офисных работников хотят заниматься спортом, но нет времени добираться в зал
🟤Корпоративный велнес растёт на 22% в год
🟤Персонализированный фитнес — топ-тренд 2025
🟤Стартовые вложения: 800 тыс.–1,2 …
Найти товар или услугу для себя — проще простого: сервисов — море, все удобные и понятные.
А предпринимателям часто не хватает такого же простого инструмента.
Найти надёжного поставщика, выйти на производителя, подобрать товар для магазина помогают знакомые, интернет, справочники. Но сервисов для прямого взаимодействия предпринимателей почти нет.
Именно для этого мы и создали https://tglink.io/982cba1ee350f8?erid=2W…
🔥 5 золотых правил для начинающих предпринимателей
1️⃣ Тестируйте идею минимальными затратами
Прежде чем вкладывать серьёзные деньги, проверьте спрос. Создайте MVP, опросите 20-30 потенциальных клиентов, запустите тестовую рекламу.
2️⃣ Изучите конкурентов, но не копируйте
Найдите их слабые места и сделайте то, что они делают плохо или не делают вообще. Ваше УТП — в решении проблем конкурентов.
3️⃣ Планируйте реали…
Ситуация: потратил сотни тысяч рублей на многостраничный сайт, а теперь не знаешь, что с ним делать…
Бизнесу не всегда нужен дорогой, объёмный сайт. Для многих компаний лендинг — разумнее: стоит дешевле, запускается быстрее и проверяет спрос без лишних затрат.
Лендинг нужен, чтобы:
• понятно рассказать о продукте;
• показать преимущества и кейсы;
• ответить на вопросы клиентов;
• собрать заявки в одном месте.
Много…
🔥 Бизнес-идея: Аренда строительного инструмента и садовой техники
Суть: Пункт проката инструментов для мелкого ремонта, дачных работ и строительства. От дрелей до мотокультиваторов.
✔️Почему актуально:
🟠78% россиян живут в собственных квартирах/домах и делают ремонт
🟠Покупка профессионального инструмента для разовых работ нерентабельна
🟠Спрос на DIY-культуру растёт на 15% в год
✔️Стартовые вложения: 600-900 тыс.₽
…
🔥 Бизнес-новости августа: что изменилось
➡️ Фирмы-матрёшки легализованы
С 1 августа ООО с одним учредителем может владеть 100% другого ООО. Запрет действовал 30 лет, но его постоянно обходили.
➡️ Маркировка одежды обязательна
Продажа немаркированной одежды запрещена. Остатки можно промаркировать до 31 октября.
➡️ Контроль драгоценностей
С 20 августа банки отслеживают операции с драгметаллами от 1 млн ₽. Штрафы — д…
🤯20🔥13🤔8
Showing the 12 most recent of 46 posts we hold for @BusinTrader. 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.
Mentions
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@BusinTrader named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@otidogroup named in 2 posts, 8 August 2026 – 9 August 2026
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Business Trader” (@BusinTrader), 13,796 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/BusinTrader.
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.