Video message, posted without a caption
🔥6👏1
Signed Danila Nedbaev

Channel
@eto_schitaetsya
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4,253subscribers
+20 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001673736460 |
|---|---|
| Type | Channel |
| Username | @eto_schitaetsya |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/eto_schitaetsya |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 16:45 | 4,253 | -1 |
| 12 Aug 2026, 11:26 | 4,254 | -5 |
| 9 Aug 2026, 03:54 | 4,259 | +27 |
| 6 Aug 2026, 06:10 | 4,232 | -1 |
| 6 Aug 2026, 04:06 | 4,233 | no change |
| 6 Aug 2026, 02:22 | 4,233 | first reading |
18 posts held, back to 29 April 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 5 pagesof 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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 18 (29 April 2026 – 8 August 2026) |
| Views total | 2,261 |
| Reactions total | 45 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 12:01 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.
Measured directly from 3 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.
456 reactions across 16 posts, in 13 distinct kinds. The most used accounts for 32.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 150 | 32.9% | |
| custom 5402099007507934020 | 80 | 17.5% | |
| 🔥 | 74 | 16.2% | |
| 😁 | 49 | 10.7% | |
| 👍 | 28 | 6.14% | |
| 🤣 | 28 | 6.14% | |
| 🤪 | 16 | 3.51% | |
| 😍 | 12 | 2.63% | |
| ❤🔥 | 9 | 1.97% | |
| 🎄 | 3 | 0.658% | |
| 🎉 | 3 | 0.658% | |
| 🥰 | 3 | 0.658% | |
| 👏 | 1 | 0.219% |
Custom emoji. One row above is a 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 count beside it isTelegram’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 17 of the 18 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 477reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 29 April 2026 to 8 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.
Video message, posted without a caption
🔥6👏1
Signed Danila Nedbaev
Пока Олег выкладывал фотографии из отпуска, я летала... в командировку в Казань 😄 Вместе с командой «Сезона Кода», про который рассказывала выше. Прошел ровно месяц, настало время рефлексии) В этом году мы впервые провели отдельный трек «Продуктовая кухня» — про продукт, аналитику, дизайн и AI. Честно говоря, переживали, будет ли он интересен на конференции, где исторически главными были технические доклады. А в ито…
❤🔥9❤5custom 54020990075079340203
Signed Yulia Gurova
🎵 8 августа в Коломенском пройдет ИТ-Пикник от Т-Банка. В программе — выступления проекта LAB Антона Беляева, IOWA, Cream Soda, Pompeya, мартина и Совы. А днем — научпоп-лекции, дискуссии об ИИ и больших языковых моделях, мастер-классы и интерактивы. Полезные знакомства и развлечения тоже будут. Отдельно зовем на лекции в аналитический шатер, где мы, авторы канала, будем ведущими — Даня Недбаев и Юля Гурова) 🎟 За…
❤9custom 54020990075079340207🔥5
Signed Yulia Gurova
Летом в 🤞Это считается меньше постов. Такая особенность сезона. И мы сами были немного заняты другими делами: 1️⃣Провели Weekend Offer! Аналитиков в Т-Банке стало чуть больше. 2️⃣ Искали бензин на заправках. Наши коллеги сделали для этого специальную карту. 3️⃣ Провели Сезон кода в Казани и Питере. Ждем рассказ Юли о том, как это было. Оставайтесь на связи. Мы не в обиде, если вы предпочтете лето нашим постам. Для…
❤10custom 54020990075079340208
Signed Oleg Filonov
❗️В сеть утекла запись дейлика продуктовых аналитиков❗️ Хотите лучше понимать продукты, пользователей и то, как принимаются продуктовые решения? Тогда увидимся на Продукты 24 × ffdd2d 🤞
😁26🤪16🥰3
Signed Катя Денисенко
Аналитики, привет! 4–5 июля пройдет Weekend Offer - это когда все этапы найма проходят за одни выходные. Не нужно искать удобные слоты для интервью, специально оставаться дома или бронировать переговорки. Вакансий много. В том числе можно попасть в команды ведущих подкаста и постоянных авторов канала 🤞Это считается: Данила, Олег и Юля расширяют свои команды. Представьте, что обсуждать рабочие вопросы, карьеру и про…
❤15custom 54020990075079340208🔥5
Signed Oleg Filonov
Сегодня хотим пригласить вас на «Сезон Кода» — это наша IT-конференция, или даже целый фестиваль от Т-Банка. В этом году Сезоны пройдут в двух городах: 🌁 уже в эту субботу в Санкт-Петербурге, регистрация 🕌 и 4 июля в Казани, регистрация Особенно приятно, что в программе много продуктовой аналитики. Но не только: будут доклады про дизайн, разработку, продукт и другие темы, которые будут интересны любому аналитику. …
❤13custom 54020990075079340208
Signed Yulia Gurova
Video message, posted without a caption
😁22❤9🔥8custom 54020990075079340205🤣1
Signed Катя Денисенко
Вчера рассказывали, как наши ребята выступили на конференции. А сегодня — небольшой спойлер на будущее. 5 сентября, Москва, Парк Горького — Продукты 24 × ffdd2d , наша конференция про продукты, аналитику и дизайн. Доклады про то, как мы реально устроены изнутри, интерактивные разборы метрик, нетворкинг, афтепати с диджей-сетом над Москвой-рекой. Регистрация откроется в июле, мест мало — поэтому уже открыли предрег…
custom 54020990075079340209🔥8❤3
Signed Vlad Petrakov
Наши коллеги выступали на Aha! в этом году. Делимся рассказом Аркадия Лысякова из Платформы обслуживания о том, как честно измерять эффект от внедрения LLM в процессы. 💬 Стрим поддержки в Т-Банке очень большой: десятки продуктов, миллионы обращений в месяц. Раньше всё держалось на сценарных ботах: жёсткие деревья, около тысячи интентов, предсказуемая логика. С приходом LLM мы добавили к этому генеративные и RAG-сцен…
❤8custom 54020990075079340206🔥2😁1
Signed Oleg Filonov
После нахождения NSM самое время построить дерево метрик. Дерево или иерархия метрик – это фреймворк для иерархии и классификации метрик, которые выстраиваются от ключевой метрики продукта (NSM). Цель фреймворка: 🔹держать фокус на значимых метриках; 🔹определить слабые места; 🔹внедрять фичи, развивающие продукт в желаемом направлении; 🔹понять, за счет каких конкретных действий растет бизнес. Алгоритм построения: 1️…
🔥8custom 54020990075079340204❤3👍2
Signed Roman Romanchuk
Сегодня в Москве обещают +29. Жители и гости столицы, берегите себя и запасайтесь водой. Т-Капибара намекает, что пришло лето 🙂🦋 Всем хорошей недели, аналитики! ☀️
❤42custom 54020990075079340209😍6🎉3
Signed Oleg Filonov
Showing the 12 most recent of 18 posts we hold for @eto_schitaetsya. 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 — 230,653 of 1,481,306entries 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.
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.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Это считается” (@eto_schitaetsya), 4,253 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/eto_schitaetsya.
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.