Telegram RegisterThe public register of Telegram

Channel

Вторые шансы

@second_chancer

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,839subscribers

+43 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002556396293
TypeChannel
Username@second_chancer
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/second_chancer

Growth

2,7962,8392,817.56 August 2026 — 2,796 subscribers7 August 2026 — 2,797 subscribers9 August 2026 — 2,798 subscribers12 August 2026 — 2,839 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +43. 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 2,790–2,845 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:532,839+41
9 Aug 2026, 16:042,798+1
7 Aug 2026, 00:442,797+1
6 Aug 2026, 05:212,796first reading

Engagement

9 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
32.3%
avg views ÷ 2,839 subscribers
Avg views / post
917
9 posts measured
Reaction rate
5.53%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 6 August 2026
Posts held9 (17 July 20266 August 2026)
Views total8,257
Reactions total457
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:09 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.

Reaction mix

457 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 53.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
24453.4%
🔥7616.6%
💯4810.5%
🤣449.63%
🥰255.47%
🕊122.63%
😍30.656%
🤔30.656%
🏆20.438%

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 9 of the 9 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 457reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 17 July 2026 to 6 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

6 Aug 2026, 18:33 UTC491 views42 reactionsread 7 August 2026

В какой момент в компаниях начинается остервенелый дроч на всевозможные таблички, дашборды и отчеты? (В малом и среднем бизнесе, в крупном все понятно) Есть у меня мысль, что в тот, когда нет четких целей и ускользает общий смысл. Нет NSM (north star metrics) — на которую каждому понятно, как он влияет. Нет 5-6 показателей, самых важных, любимых и понятных. Когда люди перестают понимать, на что они влияют и проще сп

24💯18

5 Aug 2026, 07:42 UTC692 views60 reactionsread 7 August 2026
Photo

Второй день читаю фантазии про стоимость участия Роузи Хантингтон-Уайтли в заходной съемке сезона у Эконики (ну конечно, 2 млн долларов, естественно, горе-оценщики!) и сетования на «у них все станет дорого!» (а у кого нет?!) 🫠 Коллеги, не надо переносить свои неврозы по поводу инфляции на бренд. Не надо переносить свои тревоги по поводу бюджета на российский бренд. То, что команде удались согласовать, снять, утверд

49💯6🔥5

4 Aug 2026, 13:24 UTC691 views54 reactionsread 7 August 2026

Есть 3 больших блока в моем языке маркетинге: 1. Как устроена система (бренд) 2. Как человек воспринимает систему (бренд) 3. Что происходит на границе взаимодествия человека и системы (бренда) Я буду постепенно делиться определениями, которые для меня значат чуть больше или чуть шире, чем в классических трактованиях (да, так можно) Начать хочу с 2 моих любимых сущностей: Воспринимаемое качество Воспринимаемое ка

🔥495

4 Aug 2026, 09:08 UTC683 views59 reactionsread 7 August 2026

У меня долго не писались посты про маркетинг, про мой взгляд на систему: сначала, потому что я была не уверена в том, что маркетинг все еще работает, потом — потому что мне было некогда думать, надо было делать так, чтобы маркетинг работал) А вчера ночью я села и стала писать о том, какие определения формируют мой профессиональный понятийный аппарат, которым я пользуюсь в работе каждый день. На какие гипотезы я опир

47🔥9😍3

1 Aug 2026, 10:05 UTC812 views73 reactionsread 7 August 2026
Photo

В июле я пропала Казалось бы — я запускала рабочие проекты, делала книжный клуб, пересобирала команду, писала посты про выступления, планировала августовские лекции и спикерские сессии (все расскажу), играла в падел. Но меня во всем этом не было. Все это было вместо меня (и мне это как обычно не нравится). Почему? Потому что паттерны зависимого поведения работают всегда одинаково. Есть что-то, с чем ты не можешь со

57🕊12🏆2🔥2

28 Jul 2026, 08:34 UTC988 views52 reactionsread 7 August 2026
Photo

Что мне больше всего нравится в нашем книжном клубе BOOKSIE — это молниеносное погружение в лор книги месяца. Вот, я читаю Цирцею и ничего не подозреваю дома, а через пару недель на встрече в Пешке мы с 30-ю умницами обсуждаем Одиссею, спорим за экранизации Нолана и Тарковского, откапываем «Возвращение» Пазолини, я ищу на Авито и по библиотекам книжку «Пенелопиада» Маргарет Этвуд (у вас кстати, нет?). И все это в ко

48🥰4

23 Jul 2026, 16:13 UTC≈1,130 views55 reactionsread 7 August 2026

Что-то вспомнилось, как на одной из моих работ руководитель запрещал всей команде говорить, что у них выгорание. Потому что слова такого не существует (состояние есть, слова нет), прям так и говорил: при мне даже не произносите этого слова, от чего вам выгорать. Так вот, это газлайтинг 😎

🤣38🔥11💯51

20 Jul 2026, 10:29 UTC≈1,460 views31 reactionsread 7 August 2026
Photo

"Воронки" продаж, о которых невозможно молчать. Коллеги, если вы хотите продавать инновационный инструмент, бизнес-решение или что-то еще, то пожалуйста, имейте совесть и опирайтесь на этику общения. Нет сил получать вот такие веерные рассылки по понедельникам (или ближе к концу квартала). Ничего кроме агрессии и раздражения это не вызывает. Продать что-то на встрече после такой спам-атаки будет сильно сложнее, чем

💯199🤔3

17 Jul 2026, 09:55 UTC≈1,310 views31 reactionsread 7 August 2026
Photo

Настроение пятницы таково:

🥰21🤣64

Showing the 9 most recent of 9 posts we hold for @second_chancer. 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 — 49,151 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.

Mentions

Named by 4 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.

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.

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.

“Вторые шансы” (@second_chancer), 2,839 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/second_chancer.

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.