Telegram RegisterThe public register of Telegram

Channel

No Data No Growth | Pavel Bukhtik

@nodatanogrowth

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

12,744subscribers

+17 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001654432419
TypeChannel
Username@nodatanogrowth
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/nodatanogrowth

Growth

12,72312,74412,733.57 August 2026 — 12,727 subscribers8 August 2026 — 12,723 subscribers9 August 2026 — 12,727 subscribers10 August 2026 — 12,733 subscribers12 August 2026 — 12,734 subscribers13 August 2026 — 12,744 subscribers7 August 202613 August 2026
6 measurements spanning 6 days, net +17. 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 12,720–12,747 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 09:3812,744+10
12 Aug 2026, 07:1212,734+1
10 Aug 2026, 09:2112,733+6
9 Aug 2026, 07:5112,727+4
8 Aug 2026, 05:0612,723-4
7 Aug 2026, 08:0112,727first reading

Engagement

10 posts held, back to 30 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.3%
avg views ÷ 12,744 subscribers
Avg views / post
3,350
7 posts measured
Reaction rate
1.75%
reactions ÷ views · ER floor
Posts in window
7
of 10 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 11 August 2026
Posts held10 (30 June 202611 August 2026)
Views total23,420
Reactions total411
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 03:05 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
19s
Average length
19s

Measured directly from 1 video 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

627 reactions across 10 posts, in 11 distinct kinds. The most used accounts for 53.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥33853.9%
16726.6%
👍467.34%
💯375.90%
91.44%
🐳91.44%
😭81.28%
👏71.12%
❤‍🔥30.478%
🎉20.319%
🤩10.159%

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 10 of the 10 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 627reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 30 June 2026 to 11 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
1
across the posts below
Posts paid on
1
of 10 we hold a reading for · 10%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nodatanogrowth. 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 10 most recent posts we hold for this entry, published 30 June 2026 to 11 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.

Recent posts

11 Aug 2026, 10:35 UTC≈1,400 views96 reactionsread 13 August 2026

❄️ Разбор задачи с собеса про заморозку подписки Формулировку задачи оставил постом выше, поэтому сразу к разбору. Главная ошибка – услышать «проверить гипотезу» и сразу побежать в A/B. Эксперимент здесь может оказаться дорогим решением в лоб. Чтобы увидеть не только краткосрочный эффект на выручку, но и последствия для удержания и LTV, его придется вести достаточно долго. При этом ошибка с решением убрать замороз

🔥888

7 Aug 2026, 10:03 UTC≈2,770 views42 reactionsread 13 August 2026

❄️ Популярная задача с собесов на заморозку подписки Есть задачи, которые кочуют из компании в компанию. Эта одна из них. И несмотря на кажущуюся простоту, на ней регулярно сыпятся кандидаты: Вы продуктовый аналитик в подписочном сервисе с ежемесячной оплатой. В управлении подпиской есть функция «заморозки». Вместо отмены пользователь может поставить подписку на паузу на срок до трех месяцев. Списаний в это время

🔥2614👏2

5 Aug 2026, 10:22 UTC≈3,000 views53 reactionsread 13 August 2026

🔄 Как изменились собесы для аналитиков в 2026 году За последний год они стали не столько сложнее, сколько требовательнее к качеству мышления. Дать правильный ответ уже недостаточно. Нужно решать быстро и точно, показывая ход рассуждений. Сразу оговорюсь: ниже не исследование рынка, а мои наблюдения из общения с сотнями кандидатов и нанимающими руководителями. Процессы везде разные, но эти шесть изменений я вижу все

26💯11😭8🔥7❤‍🔥1

31 Jul 2026, 08:45 UTC≈3,500 views47 reactionsread 13 August 2026

⏸️ Досрочно останавливаем A/B: подглядывание или нет? Классика жанра. Тест идет третий день, денежная метрика упала на 8%, p-value уже 0,03. Менеджер давит: «Надо останавливать, мы теряем деньги!» Аналитик отвечает: «Нельзя подглядывать, нужно дождаться выборки!» Но подглядывание ли это? Есть разница между подглядыванием как нарушением методологии проведения A/B-теста и мониторингом как проверкой здоровья эксперим

30🔥85❤‍🔥2👏2

28 Jul 2026, 08:19 UTC≈3,800 views85 reactionsread 13 August 2026

🤔 Раньше я думал, что понимаю бизнеc Многие идут в продуктовую аналитику, чтобы быть ближе к бизнесу. Растить продукт, драйвить метрики и выручку, влиять на решения. Девять лет назад я выбрал это направление ровно по такой причине. Но что значит «приносить пользу бизнесу», я понял не тогда, когда набрался опыта в найме и стал хедом. По-настоящему это пришло только со своими продуктами. В частности, онлайн-школой. И

👍43💯1911🔥10🎉2

22 Jul 2026, 07:26 UTC≈4,420 views42 reactionsread 13 August 2026

📹 «Ты не против, если мы запишем собес?» Работодатель хочет записать собес – норм или стрем? На самом деле, может быть и так, и так. Я сам был по обе стороны. Когда нанимал, просил записать интервью, чтобы показать команде и обсудить кандидата вместе. А когда не мог прийти на собес, но участвовал в решении – запись показывали мне. 📝 Причины для записи обычно скучные и рабочие: -> Интервьюеру хочется слушать тебя

25🔥10💯7

16 Jul 2026, 09:41 UTC≈4,530 views46 reactionsread 13 August 2026
Photo

🎯 В чём идея Uplift-моделирования? Привычные ML-модели отвечают на вопрос: «Кто с большой вероятностью купит?» или «Кто может уйти?» Но бизнесу часто нужен ответ на другой: «На кого подействует наше воздействие?» И это разные задачи. Например, мы хотим удержать пользователя и отправляем ему скидку на следующий заказ. Возможны четыре сценария: 🔸 Он остался бы и без скидки (Sure Things) – мы потеряли часть маржи,

🔥3412

9 Jul 2026, 08:44 UTC≈4,490 views111 reactions1 Starread 13 August 2026
Photo

🌀 Я понял, что мешало мне в работе последние девять лет Последние две недели я провел в фридайвинг-кэмпе в Каше (Турция). Нырнул всего на 60 см глубже, чем прошлый рекорд: 30.6 метра вместо 30.0. На первый взгляд – провал. Ехал за метрами, а привез сантиметры. Но я осознал две важные вещи. Не про воду, а про себя: ☝️ Глубину нельзя взять силой Я пробовал. Это не работает. Стоит напрячься, и давление растет, зажим

🔥7625🐳9🤩1

3 Jul 2026, 07:45 UTC≈4,020 views47 reactionsread 13 August 2026
Photo

🎯 6 лайфхаков поиска прокси-метрик для A/B Частая проблема в A/B тестах: ключевая метрика нечувствительная и/или медленная. LTV365, ARPU90, повторная покупка – дисперсия высокая, эффект маленький, а ждать месяцы или год никто не готов. Поэтому хочется найти прокси – более быструю и чувствительную метрику, которая предскажет движение ключевой в будущем. В карточках выше я собрал весь свой опыт подбора первичных кан

🔥377👍3

30 Jun 2026, 11:25 UTC≈3,710 views58 reactionsread 13 August 2026
Photo

🧑‍🎓 У No Data No Growth появился личный кабинет студента! Теперь все обучение для новых потоков живет в одном месте. И без проблем с доступом в ТГ 🚀 🔸 Студент уже может: -> Смотреть записи лекций и практических занятий; -> Записываться в группу на практику; -> Сдавать домашки и получать ОС прямо в ЛК; -> Получать уведомления о проверенных работах через бота; -> Смотреть доп. материалы к лекции; -> Оставлять отзыв

🔥4294👏3

Showing the 10 most recent of 10 posts we hold for @nodatanogrowth. 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.

Posts edited after publishing

@nodatanogrowth edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
11 August 2026
Most recent edit
11 August 2026

Citation-graph rank

Citation-graph rank — 487,230 of 1,340,412entries 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 3 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“No Data No Growth | Pavel Bukhtik” (@nodatanogrowth), 12,744 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/nodatanogrowth.

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.