11 measurements spanning 30 days, net -63. 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 7,753–7,834 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Sept 2026, 21:01
7,762
-4
1 Sept 2026, 14:13
7,766
-14
29 Aug 2026, 14:34
7,780
-5
26 Aug 2026, 20:23
7,785
-8
24 Aug 2026, 04:02
7,793
+1
20 Aug 2026, 20:55
7,792
-8
17 Aug 2026, 17:16
7,800
-6
11 Aug 2026, 00:21
7,806
-15
7 Aug 2026, 20:53
7,821
-4
6 Aug 2026, 23:15
7,825
no change
6 Aug 2026, 23:05
7,825
first reading
Engagement
43 posts held, back to 26 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 21 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.23%
avg views ÷ 7,762 subscribers
Avg views / post
484
21 posts measured
Reaction rate
2.56%
reactions ÷ views · ER floor
Posts in window
21
of 43 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 28 August 2026
Posts held
43 (26 July 2026 – 28 August 2026)
Views total
10,155
Reactions total
260
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 21:46 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
Video runtime
43s
Average length
22s
Measured directly from 2 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
699 reactions across 43 posts, in 8 distinct kinds. The most used accounts for 38.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
269
38.5%
🔥
239
34.2%
🤣
49
7.01%
custom 5343524093201228506
41
5.87%
🍓
40
5.72%
🕊
27
3.86%
custom 5253555484811610534
23
3.29%
custom 5460846081283740006
11
1.57%
Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 43 of the 43 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 699 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 26 July 2026 to 28 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.
Telegram Stars
Stars received
7
across the posts below
Posts paid on
5
of 43 we hold a reading for · 12%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @close2sense. 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 43 most recent posts we hold for this entry, published 26 July 2026 to 28 August 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.
Кто куда, а я — снова в Pine
Пить какао и чай с конфетками — мой неизменный триггер в состояние потока.
Оффлайн становится новым люксом. И все сложнее его обеспечить.
Мы хаотично мечемся между домами, ролями и компаниями. Ищем ответ на вопрос «кем я хочу стать?»
Но ответ всегда рядом. И он находится через надежные действия, опору на данные и на себя.
Кстати, мой курс по метрикам и пирамиде метрик в MBA МГУ длитс…
Завтраки возвращаются!
Осень - лучшее время продолжать прекрасные традиции. Наш пятнадцатый завтрак #безвотэтоговотвсего мы решили посвятить прекрасной теме - “Королевство кривых метрик: как научиться считать нужное?”. Нет более мутной темы в корпорациях, чем метрики. Все их терпеть не могут, куча путаницы вокруг, ни у кого толком не получается сделать систему, которая бы всех устроила.
Поэтому мы на завтраке разбе…
3 «нет» и 3 «да» после 10 лет в терапии
НЕ действовать из боли
НЕ говорить из обиды
НЕ использовать людей от тревоги
И ДА:
— говорить из спокойствия
— действовать из любви
— сохранять уважение к уникальности и времени других
Как увольняться в 2026 году
На днях я встретилась сразу с несколькими C‑level людьми:
— фаундеры;
— топ‑менеджеры.
И знаете, о чём все они говорили? Что в конечном счёте важно не действие, а состояние.
Каждый говорил это по‑своему, на своём языке правды.
Но очень чётко бил в самую суть. Когда ты думаешь в терминах метрик, целей — деньги, MAU, должность, интерес к работе… — ты всегда проигрываешь сам себе!
Оказы…
Эти 3 задачи мы закрыли вчера на оффлайне «Пирамида метрик. Архитектура лидера»
Мы выгораем не потому, что с нами что-то не так. А потому, что теряем навигацию в пути.
Мы пересобрали траекторию и её маяки прямо на лету:
1) Нашли метрик решений -- NSM лидера. Она помогает принимать карьерные и стратегические решения. Это маркер, который безошибочно ориентирует на любых развилках
2) Построили архитектуру work-life …
Только что провела бомбическую стратсессию по метрикам ценности для растущего ИИ-продукта из одной очень вкусной корпорации.
Как же я кайфую от таких масштабных задач!
Перед встречей захотелось потанцевать под эту песню. Ещё со времен моего MBA в Германии она мне помогает настроиться на стратегию почему-то )) Чувственная попса 2010-ых против интеллектуального снобизма: 1:0!
Кому нужно вычистить операционный шум и …
Как и 30 лет назад, мама ругается, что опять иду тусить на ночь глядя. Папа напряжен, но как контрол фрик, сам везет меня на тусу [чтобы знать, где я и с кем].
Меня встречает Надек. В супер платье, а я опять одета по-пацански.
Но только не в кроссах брата Сережки, как 30 лет назад. А в Crocs старшего сына Лёни. И Надёк радуется не тому, что ее мама в санатории и можно тусить, как 30 лет назад. А тому, что её дочь в…
📐 ПИРАМИДА МЕТРИК СИСТЕМЫ И ИСТИННЫЙ МАСШТАБ CPO
Почему большинство экспертов и бизнесов годами сидят в операционном хаосе, фризах и кассовых разрывах?
Ответ прост: они путают метрики тщеславия (охваты, MAU, суету) с NSM — полярной звездой, которая качает чистую капитализацию системы и окупаемость.
Ваша жизнь, ваша сила и ваши доходы — тоже продукт. Либо вы выстраиваете пирамиду метрик и управляете процессами как …
7 лет назад мы с Ромой произвели революцию на русском рынке
Мы дали сначала корпорациям, а затем и среднему бизнесу вкус хорошей аналитики.
Пирамиды метрик, RFM, эмуляции AB-тестов, поиск NSM на основе данных. Это лишь малая часть мощи, которую я построила, а Рома поддержал.
И имя этой мощи Datalatte.
По моему бизнесу бил ковид, ситуация февраля 2022, кризис и конечно же моя …. созависимость.
Все эти годы Рома п…
🔥17❤8🕊2
Showing the 12 most recent of 43 posts we hold for @close2sense. 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 5 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Про Проекты и карьеру в ИТ | Романова @proProject1 · 36,714 Telegram ranks this channel #10 of 97 here — alongside 96 others — read 1 September 2026
Дашич, беги🚀 @dashich_begi · 37,115 Telegram ranks this channel #22 of 96 here — alongside 95 others — read 1 September 2026
Ваня Замесин @zamesin · 49,989 Telegram ranks this channel #25 of 97 here — alongside 96 others — read 25 August 2026
GoPractice! @gopractice · 29,071 Telegram ranks this channel #29 of 97 here — alongside 96 others — read 9 September 2026
No Flame No Game @proproduct · 38,896 Telegram ranks this channel #31 of 96 here — alongside 95 others — read 31 August 2026
Образование, которое мы заслужили @ru_education · 42,665 Telegram ranks this channel #33 of 98 here — alongside 97 others — read 29 August 2026
Максим Спиридонов @mspiridonov · 66,190 Telegram ranks this channel #43 of 98 here — alongside 97 others — read 21 August 2026
Job for Products and Projects @forproducts · 69,104 Telegram ranks this channel #47 of 98 here — alongside 97 others — read 20 August 2026
Дизраптор @disruptors_official · 72,429 Telegram ranks this channel #51 of 97 here — alongside 96 others — read 20 August 2026
The Edinorog 🦄 @Theedinorogblog · 42,325 Telegram ranks this channel #52 of 97 here — alongside 96 others — read 29 August 2026
Стартап дня. Александр Горный. @startupoftheday · 59,805 Telegram ranks this channel #52 of 97 here — alongside 96 others — read 22 August 2026
Про Управление @ProYpravlenca · 31,839 Telegram ranks this channel #54 of 99 here — alongside 98 others — read 6 September 2026
Карьера в топ от Анны Знаменской @annaznamenskaya · 30,948 Telegram ranks this channel #64 of 98 here — alongside 97 others — read 6 September 2026
GPT/ChatGPT/AI Central Александра Горного @aioftheday · 42,967 Telegram ranks this channel #70 of 97 here — alongside 96 others — read 29 August 2026
Вакансии для продактов и проджектов @product_jobs · 35,958 Telegram ranks this channel #81 of 96 here — alongside 95 others — read 2 September 2026
Яндекс нанимает | Вакансии для PM @ya_jobs_pm · 29,307 Telegram ranks this channel #84 of 98 here — alongside 97 others — read 8 September 2026
Job for Chiefs (TOP vacancies) @forchiefs · 37,993 Telegram ranks this channel #84 of 99 here — alongside 98 others — read 31 August 2026
This channel appears in 17 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Метрики Смысла | Серёгина Лена” (@close2sense), 7,762 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/close2sense.
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.