Ехал тут на днях в автобусе в другой конец города, минут 30. К концу поездки спина затекла и вообще последние минуты постоянно ёрзал от неудобства. При том, что автобус был новый, чистенький и красивый, с кондёром и зарядками. И внезапно мне пришла мысль, которую проверить я не смогу, но, не удивлюсь, если это может оказаться правдой. При проектировании этих кресел никто не тестил их удобство в долгой дороге. Условн…

Channel
Стёпа любит
@stepa_lyubit_mambu
On this record: Growth · Engagement · Posts · Citations · Cite this entry
226subscribers
+1 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 | -1001197628990 |
|---|---|
| Type | Channel |
| Username | @stepa_lyubit_mambu |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/stepa_lyubit_mambu |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 10:25 | 226 | +1 |
| 7 Aug 2026, 04:42 | 225 | no change |
| 7 Aug 2026, 03:16 | 225 | first reading |
Engagement
11 posts held, back to 14 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 54.2%
- avg views ÷ 226 subscribers
- Avg views / post
- 122
- 9 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 9
- of 11 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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 11 (14 July 2026 – 6 August 2026) |
| Views total | 1,102 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 03:16 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.
Recent posts
Дописал 3 часть статьи про "однокадровое" кино. Почему сегодня в кавычках? Потому что фильмы, о которых там пойдёт речь представлют собой единый, непрерывный визуал, но собраны они из множества незаметных склеек. Я прошерстил фильмы "Бёрдмэн" и "1917" (и, конечно же, бэки по ним) и покадрово промотал места потенциальных стыков. В результате получился даже небольшой гайд по незаметным склейкам. А в превью я побалов…
Небольшая зарисовка родилась пока прогуливался у дома. Музыка: Portcullis - The Mini Vandals
Так получилось, что нашим тотемным животным в семье стал мопс. Однажды, какой то мужик, проходя рядом со своим сыном мимо нас, сказал своему малому что это даже не собака. И в чём-то он прав. Шелдон (так зовут нашего мопса. Да, в честь Шелдона Купера) больше похож на плотного кота, который обожает спать с нами, просится к супруге на руки, когда она работает за компом и расплывается как герметик между нами на кровати…
Ай какое макро красивое. Пошёл кофе молоть...
Ну кайф же!
Дуэль на рельсах 1х1 потными ладошками
Кино - это путешествие, в котором герои меняются, проходя через множество испытаний и приходят в какую-то точку уже обновлёнными. Пока разбирал фильм "1917" для следующей части статьи про однокадровое кино на моём канале Sponsr, обратил внимание на первую и последнюю сцену в этом фильме. Красивый приём, зацикливающий историю. Как будто снят один и тот же момент, но столько всего произошло между ними.
Всё-таки 3D - это пушка. Я давно хотел поупражняться с постановкой света, и решил намоделить простенькую классическую локацию с жалюзями и лампой на столе. Пока делал, начали какие-то идеи приходить, и по итогу ещё рендеры в давинчи покрасил в контрастный нуар, и вообще ощущение возникло, что это начало какого-то детективного фильма. Свет от фонаря за окном, гроза и медленное движение камеры бы добавить. А если зву…
Сидел как-то на днях и задался вопросом. Как можно управлять эмоциями, изменяя только одну деталь? Подумал, можно ли створками в глазах у робота это сделать, имитируя брови человека (они, пожалуй, ярче всего отображают эмоцию). Ну и замоделил по-быстрому такой прототипчик. И прикольно получилось. Хз, понадобится ли мне это где-то, но это просто прикольно.
Продолжаю изучать однокадровое кино. Во второй части статьи разбираю 3 потрясающие работы, снятые трушным однокадром: • Точка кипения 2020 • Переходный возраст 2025 • Виктория 2015 Все 3 проекта я всячески рекомендую к просмотру. Это драматичные истории, которые мы проживаем бок о бок с героями, а непрерывность действия усиливает ощущение реализма, насколько это вообще возможно в кино. В статье можно побольше узна…
Showing the 11 most recent of 11 posts we hold for @stepa_lyubit_mambu. 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 — 582,125 of 1,350,102entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Named by 2 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Стёпа любит” (@stepa_lyubit_mambu), 226 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/stepa_lyubit_mambu.
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.