Channel
@otzivi_lebedev
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
16subscribers
+11 since we began measuring on 19 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003804769193 |
|---|---|
| Type | Channel |
| Username | @otzivi_lebedev |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 19 October 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/otzivi_lebedev |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 4 November 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 18:36 | 16 | +1 |
| 27 Oct 2026, 23:06 | 15 | +7 |
| 20 Oct 2026, 11:19 | 8 | +3 |
| 19 Oct 2026, 19:22 | 5 | first reading |
20 posts held, back to 4 October 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 1 page of Telegram’s post history, 20 posts per page.
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 2 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 19 October 2026 |
|---|---|
| Posts held | 20 (4 October 2026 – 19 October 2026) |
| Views total | 9,205 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 19 Oct 2026, 19:22 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.
3 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 2 | 66.7% | |
| 👍 | 1 | 33.3% |
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 2 of the 20 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 4 October 2026 to 19 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.
Telegram’s own ‘edited’ marker: 0 of 16 posts 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).
Очень понравился курс, Захар реально сильно повлиял на мои изменения. Его практики помогли мне лучше понять связь между целью, процессами и субпроцессами. Я начал видеть, что есть главная цель, есть действия и процессы, которые ведут к ней, а есть вещи, которые просто забирают внимание и уводят в сторону. Это поменяло мое восприятие в разных сферах жизни: в бизнесе, семье, отношениях. Раньше часто был хаос, хватался …
Благодарю за искренность, Захар. Среди массы курсов, которые проходила - Ваш чудо. Благодарю Вас.
Захар, огромная благодарность за эфир! Сегодня тема была дополнительной полезной информацией к моему индивидуальному курсу в твоей уникальной системе Phronesis. Я много раз пробовала разные виды планирования , но они не действовали . Сейчас понимаю почему. В системе много полезных инструментов , которые помогают разобраться и решать разные задачи.
Стал рассказывать о Вас своим друзьям и знакомым. Скидывать ссылки для ознакомления с приложением и вообще о Фронезис вцелом. Я вижу как Вы стараетесь принести пользу людям, спасибо Вам за Ваш такой важный труд, который, на мой взгляд, даже нельзя и переоценить. Я это понимаю спустя, потому что, уже не молод, но всегда думал об этом, но не мог сформулировать, тем более возвести в систему, которая и есть тот ключ, кот…
Спасибо Захар за как всегда, полезный! Тем более, что Вы были не совсем здоровы и эфир дался нелегко, зная , что так будет, Вы его тем не менее, не стали откладывать - спасибо большое!
Привет! Да, пользуюсь приложением уже больше месяца! Очень помогает
Пришла с полной финансовой жопой ((( и эта история с долгами повторилась и в личной жизни и на работе. Нейропомощник помог за 10! Минут! Найти паттерн поведения, который приводит меня к тому, что я все беру на себя и поэтому в такой жопе ((( и нашел где этот паттерн зародился
Своими объяснениями и вопросами он научил меня по-другому относится к решению вопросов, разделять ответственность и не брать все на себя.
Очень помогает мне в те моменты, когда я чувствую себя очень плохо (( поддерживает, дает советы с помощью каких упражнений и методов выйти из штопора
Я посоветовала своей подруге и брату
Здравствуйте, Захар! Изменился взгляд на себя. Прям вот так не вспомню ответ. Но то, что помощник помогает в моменте разобраться в ситуации это абсолютный факт. После общения появляется ясность и понимание куда двигаться, или лучше подождать, или просто задать вопрос другому человеку, если в ситуации есть другой человек. Мне реально помогает. У меня особенность еще есть такая, что чтобы понять и успокоить свою реакци…
Пришёл с тревогой и непониманием что делать дальше. Ушёл с найма в бизнес ради мечты, свободного времени и денег а получил а в итоге головную боль и разочарование. Причём время появилось но это мало на что повлияло. Ушёл с пониманием что я на самом деле хочу, и что меня увлекает по настоящему у меня были догадки и Фронезис помог разделить что моё а что нет. Помог найти детскую травму. Я самостоятельно отработал и …
Showing the 12 most recent of 20 posts we hold for @otzivi_lebedev. 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.
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.
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“Отзывы Захара Лебедева” (@otzivi_lebedev), 16 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/otzivi_lebedev.
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.