Telegram RegisterThe public register of Telegram

Channel

Депрессивный бережливец / Бережливое производство

@lean_pro

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

481subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002675162570
TypeChannel
Username@lean_pro
DescriptionПривет! Это канал о бережливом производстве и качестве: полезный контент, примеры улучшений, юмор, истории. По всем вопросам обращайтесь к моему менеджеру @yalu129
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/lean_pro

Growth

4817 Aug 2026, 18:37 — 481 subscribers8 Aug 2026, 04:33 — 481 subscribers7 Aug 2026, 18:378 Aug 2026, 04:33
2 measurements taken within a single day. 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 480–482 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 04:33481no change
7 Aug 2026, 18:37481first reading

Engagement

16 posts held, back to 26 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.1%
avg views ÷ 481 subscribers
Avg views / post
135
16 posts measured
Reaction rate
3.33%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 7 August 2026
Posts held16 (26 July 20267 August 2026)
Views total2,159
Reactions total72
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 04:33 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

Photos
773
Videos
90
Links
516

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
2m 12s
Average length
44s

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.

Reaction mix

72 reactions across 16 posts, in 12 distinct kinds. The most used accounts for 29.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 54698952939085798222129.2%
👌1723.6%
custom 54723815087423141411013.9%
custom 546979050959145876668.33%
💯56.94%
custom 547191411322129436634.17%
😁34.17%
custom 547190746031695048122.78%
🆒22.78%
custom 547237475705372531511.39%
🤔11.39%
🤝11.39%

Custom emoji. 6 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 areTelegram’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 16 of the 16 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 72reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 26 July 2026 to 7 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 16 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lean_pro. 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 16 most recent posts we hold for this entry, published 26 July 2026 to 7 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

7 Aug 2026, 07:07 UTC60 views5 reactionsread 8 August 2026
Photo

#Юмор Депрессивный бережливец / Бережливое производство 😕

custom 54723815087423141413custom 54698952939085798222

6 Aug 2026, 16:53 UTC74 views2 reactionsread 8 August 2026

#ПолезныйКонтент🤓 Смотрел видео, где девушка показывает, сколько действий нужно сделать, чтобы оформить отказ на #Ozon. Спойлер: десять кликов, тогда как на #WB всего два. И она обратила внимание, что людей стало приходить больше на фоне известных событий, и теперь эта проблема ощущается острее. А ведь это знакомая всем ситуация. Обычно все ищут потери на производстве, а в офисных процессах творится тот же бардак,

💯1custom 54719141132212943661

5 Aug 2026, 08:53 UTC90 views1 reactionsread 8 August 2026
Photo

#Хобби Как же нравятся органические алгоритмы Pinterest, там без особых усилий набрал подписчиков, сейчас их 103 человека, просмотры колеблются в районе 160 000 в месяц. Единственный минус: переход с Pinterest на телеграм практически равен 0 (Есть тут кто подписался на меня с Pinterest?). С другой стороны это объяснимо, я тоже захожу для вдохновения или ищу то, что решит мою проблему, а не перехожу на сторонние сай

🤝1

4 Aug 2026, 11:19 UTC101 views15 reactionsread 8 August 2026
Photo

Не смог пройти мимо этой фразы 🤣

👌8custom 54723815087423141415🆒2

4 Aug 2026, 07:46 UTC105 views4 reactions1 Starread 8 August 2026
Photo

#Рефлексия Нашел семь маркеров, по которым можно понять, что вам пора сменить сферу деятельности. Если интересно, можете порефлексировать вместе со мной.➖ 1️⃣Вы постоянно представляете себя на другой работе, причём эти мысли возникают сами собой и мешают сосредоточиться на текущих задачах. 2️⃣Работа других людей вызывает у вас живой интерес и эмоциональный отклик, а свои проекты оставляют равнодушным. 3️⃣Вы покуп

custom 54698952939085798224

3 Aug 2026, 08:21 UTC102 views1 reactionsread 8 August 2026
Photo

#ПолезныйКонтент🤓 Четыре ошибки, превращающие статистику в иллюзию управления Руководители, с которыми я сталкивался на отечественных предприятиях, часто строят системы, где достоверные цифры подменяются отчётами, удобными для вышестоящего руководства. На моей практике работы после иностранных компаний я выделил несколько типовых ошибок, превращающих статистику в иллюзию управления. 💥Ошибка 1. Запаздывающий контр

🤔1

2 Aug 2026, 05:50 UTC117 views4 reactionsread 8 August 2026
Photo

#ПолезныйКонтент🤓 Вы когда-нибудь задумывались, зачем на заднем поясе джинсов пришит этот кожаный прямоугольник😙? Сегодня это просто элемент дизайна, но 150 лет назад он решал задачу, которая напрямую касается качества изделия. Всё началось в 1873 году, когда компания Levi’s 👕 запатентовала джинсы с медными заклёпками. Успех был ошеломляющим — и почти сразу рынок наводнили некачественные подделки. Репутация бренда

custom 54697905095914587663custom 54698952939085798221

31 Jul 2026, 13:50 UTC153 views2 reactionsread 8 August 2026

В тему обсуждения куда пойти работать)

💯1custom 54719141132212943661

31 Jul 2026, 13:49 UTC146 views2 reactionsread 8 August 2026
Forwarded from @hackcareeraVideo

А ты точно хочешь в корпорацию? 👀 Немного мемов в эфир 😎 С пятничкой, товарищи! Выключайте уже мониторы 💃

💯1custom 54723815087423141411

31 Jul 2026, 09:02 UTC146 views2 reactionsread 8 August 2026
Photo

#ПолезныйКонтент🤓 Почему ИИ не исправит неэффективность бизнес-процессов🤔❓ Заметил, что в большинстве случаев при внедрении ИИ в компаниях сталкиваются с проблемами, которые связаны с состоянием внутренних процессов. Качество моделей здесь редко становится решающим фактором. ИИ выступает инструментом, который проявляет текущее состояние процессов и работает в рамках существующей управленческой логики. Если внутри

👌1custom 54723815087423141411

31 Jul 2026, 05:04 UTC162 views2 reactionsread 8 August 2026

С инженером-коммунистом (огромное ему спасибо за репост!) продолжаем задаваться вопросом, куда хотели бы устроиться сейчас на работу в нашей стране, будь нам снова по 25 лет. Я выбрал именно 25 лет не случайно. В этом возрасте мы ещё молоды, не успели выгореть, и нам кажется, что мы видим чуть больше возможностей, чем те, кто уже давно в системе. По крайней мере, нам так кажется. Но раз уж мы начали этот разговор,

custom 54698952939085798221custom 54719141132212943661

30 Jul 2026, 06:22 UTC174 views5 reactionsread 8 August 2026
Photo

#Юмор Твой экспертный опыт не гарантирует, что он будет востребован Депрессивный бережливец / Бережливое производство 😕

custom 54698952939085798223💯2

Showing the 12 most recent of 16 posts we hold for @lean_pro. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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

Names

Channels on the register whose handles appear in this channel's posts.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“Депрессивный бережливец / Бережливое производство” (@lean_pro), 481 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/lean_pro.

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.