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 21 August 2026 and assigned it the closest of 31 fixed categories, at 80% 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
28 measurements spanning 30 days, net +2,750. 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 47,452–51,755 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
5 Sept 2026, 07:41
50,924
-334
3 Sept 2026, 09:42
51,258
+276
2 Sept 2026, 00:34
50,982
-186
31 Aug 2026, 23:27
51,168
+418
31 Aug 2026, 00:37
50,750
-210
29 Aug 2026, 23:17
50,960
-201
29 Aug 2026, 02:02
51,161
+841
28 Aug 2026, 03:25
50,320
+318
27 Aug 2026, 00:13
50,002
+433
26 Aug 2026, 03:43
49,569
+285
25 Aug 2026, 04:37
49,284
+365
24 Aug 2026, 00:43
48,919
-277
22 Aug 2026, 08:48
49,196
-785
20 Aug 2026, 21:37
49,981
-101
19 Aug 2026, 18:12
50,082
+398
18 Aug 2026, 20:26
49,684
+1,521
17 Aug 2026, 17:56
48,163
+79
16 Aug 2026, 17:14
48,084
-585
15 Aug 2026, 00:02
48,669
-1,535
13 Aug 2026, 12:39
50,204
first reading
Engagement
54 posts held, back to 17 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 68 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
55.2%
avg views ÷ 50,924 subscribers
Avg views / post
28,100
32 posts measured
Reaction rate
0.495%
reactions ÷ views · ER floor
Posts in window
32
of 54 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 3 September 2026
Posts held
54 (17 July 2026 – 3 September 2026)
Views total
899,600
Reactions total
4,450
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Sept 2026, 21:19 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
266
Videos
13
Links
130
Lifetime counters from Telegram’s own channel header, read 7 September 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.
Reaction mix
7,269 reactions across 51 posts, in 15 distinct kinds. The most used accounts for 26.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,895
26.1%
❤
1,802
24.8%
👏
1,342
18.5%
🔥
1,105
15.2%
💯
396
5.45%
🥰
314
4.32%
🙏
227
3.12%
👎
101
1.39%
🤝
40
0.55%
😁
15
0.206%
🏆
13
0.179%
🤔
10
0.138%
👌
5
0.069%
😍
3
0.041%
😎
1
0.014%
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 54 of the 54 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 7,664 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 17 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.
Telegram Stars
Stars received
17
across the posts below
Posts paid on
9
of 54 we hold a reading for · 17%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @e_Commerce_TG. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 54 most recent posts we hold for this entry, published 17 July 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Давайте я на примере своих продаж покажу, что такое модель отбора.
Я сейчас продаю свою группу «Поток».
И встречи с клиентами у меня практически всегда начинаются уже с готовности идти в продукт.
Мне пишут:
«Хочу в Поток».
«Напомни старт группы и стоимость».
«Возможна внутренняя рассрочка?»
То есть сама встреча проходит уже не в формате разбора.
Человек приходит ко мне на созвон и сразу задает вопросы про про…
Кто-то скопировал ваш пост слово в слово
Открываете чужой канал, а там ваш текст: иногда меняют пару слов, иногда забирают рилс, лид-магнит, воронку или даже продукт с названием.
Первая мысль обычно:
«Это просто текст в интернете, что я могу сделать?»
Но на самом деле сделать можно довольно много!
▶️ Права возникают автоматически
Пост, видео или чек-лист не нужно регистрировать, чтобы возникло авторское право. При…
Можно быть отличным специалистом, иметь сильные кейсы, опыт и довольных клиентов — и при этом оставаться практически незаметным для рынка.
Парадокс в том, что клиент не может оценить вашу экспертность, пока он о ней не знает.
Поэтому я разделяю две вещи: быть хорошим специалистом и быть видимым специалистом. Одно совершенно не гарантирует второе.
Проблема не всегда в продажах
Когда обращений мало, первая мысль обы…
Самые лучшие способы справиться со стрессом и принимать сильные решения в турбулентности
Очереди с бензином, санкции, НДС, взрывы ВБ, падающий рынок.
По данным Росстата, за первое полугодие 2025 года в России закрылось 141 тыс. компаний, а открылось всего 95 тыс. — в полтора раза меньше.
Трудно? Да.
Знали ли мы о том, что так будет? Вряд ли.
Переживаем, думаем, не спим ночами? Многие.
Но на любое «трудно» есть …
Почему одни эксперты уговаривают клиентов, а к другим заявки приходят сами?
Работа в онлайне — это, пожалуй, одна из немногих сфер, где реально можно совместить свободу, радость от того, что делаешь, и деньги, не жертвуя одним ради другого.
Не нужно спрашивать разрешения на отпуск, не нужно ждать повышения, не нужно годами доказывать, что вы достойны большего. Здесь ваш доход и ваша свобода зависят от системы, кото…
Я просто умею работать в режиме многозадачности. Такой вот я молодец!
Когда я слышу подобную фразу, моя первая мысль: а точно ли речь здесь только про эффективность?
Порой за привычкой постоянно быть занятым, переключаться между десятком дел и держать всё под контролем скрывается очень понятный способ справляться с внутренним напряжением.
Человек берет всё больше задач, постоянно перепрыгивает с одного дела на дру…
Showing the 12 most recent of 54 posts we hold for @e_Commerce_TG. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
Mentions
Named by 10 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@e_Commerce_TG 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@coach_ann_millioner named in 5 posts, 19 August 2026 – 2 September 2026 · confirmed gone 30 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“eCommerce по-женски|Спикеры” (@e_Commerce_TG), 50,924 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/e_Commerce_TG.
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.
