Channel
@LB_lab
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
12subscribers
+0 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002579725154 |
|---|---|
| Type | Channel |
| Username | @LB_lab |
| Created | Between 1 March 2025 and 10 May 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 5 times, most recently 18 September 2026 |
| On Telegram | t.me/LB_lab |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 17:13 | 12 | no change |
| 15 Aug 2026, 15:31 | 12 | first reading |
20 posts held, back to 10 May 2025 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 6 September 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 5 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.
41 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 39.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 16 | 39.0% | |
| ❤ | 11 | 26.8% | |
| 👌 | 5 | 12.2% | |
| 💯 | 3 | 7.32% | |
| 🔥 | 3 | 7.32% | |
| 👏 | 1 | 2.44% | |
| 😍 | 1 | 2.44% | |
| 🙏 | 1 | 2.44% |
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 20 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 41 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 10 May 2025 to 6 September 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Как можно противостоять страху страдания? Страдания, похоже, стали неотъемлемой частью жизни. Как нам с ними справляться? Очевидно, это знакомо всем нам. Возможно, мы не испытывали мучительной боли болезни, преследований, голода или насилия. Возможно, мы не сталкивались с ухудшением состояния и потерей близкого человека. Мало кто из нас видел обугленное лицо обгоревшего ребёнка. Но каждый из нас не раз сталкивался с…
👍3
Signed nch
Нижеследующее относится к ключевому вопросу из практики глубинного коучинга «Расширение вашей способности жить с болью»: Как расширить свою способность переживать боль? Выдерживать её всё больше и больше, не поддаваясь её воздействию и не принимая её на себя? Возможно, самое важное, что вы можете сделать, — это поработать над собственным исцелением. Ознакомьтесь со следующими материалами о работе с Теневой стороной…
👍2
Signed nch
Ещё один способ обнаружить свои тени — это обратить внимание на то, что вы делаете случайно. Как бы вы ни старались держать сумку герметичной, ваши тени могут просочиться наружу, и это, кажется, не поддаётся контролю. Например, вы можете обещать себе, что будете проводить больше времени с семьёй, хотя на самом деле проводите больше времени на работе. Вы можете обнаружить, что ввязываетесь в сомнительные отношения, з…
👍2
Signed nch
Решение проблем - Упражнение (можно прочитать медленно, используя направленную визуализацию): Осознайте личную или профессиональную проблему или ситуацию, которая вызывает замешательство или конфликт. На мгновение выйдите за рамки своего текущего взгляда и отношения к ней и пригласите к открытию. Цель этого упражнения — собрать новую информацию и понять её. Если ваше новое понимание подтверждает то, что вы уже знает…
👍2
Signed nch
О том, что значит держать пространство для другого человека, очень глубокий концепт!
Signed nch
https://vk.com/clips180274461?feedType=ownerFeed&owner=180274461&z=clip180274461_456239050
🔥2👌1
Signed nch
https://vk.com/clips180274461?feedType=ownerFeed&owner=180274461&z=clip180274461_456239049
❤1👌1
Signed nch
https://vk.com/clips180274461?feedType=ownerFeed&owner=180274461&z=clip180274461_456239048
👌1👍1
Signed nch
Руководство по использованию тишины (Л. ВандерПол «Сдвиг в Бытии») 🔹 Шаг 1. Сформулируйте вопрос «Вспомните вопрос, на который вы хотели бы получить ответ. Вопрос может касаться любой области вашей жизни, где есть неопределённость, отсутствие ясности или необходимость в руководстве.» 🔹 Шаг 2. Успокойте ум «Как только вы сформулировали вопрос, начните глубоко дышать и позвольте вашему уму становиться всё более споко…
👍2❤1
Signed nch
https://vk.com/tcptcp?z=clip180274461_456239047
❤1🙏1
Signed nch
Video, posted without a caption
❤1👌1
Signed nch
Video, posted without a caption
❤4💯1🔥1😍1
Signed nch
Showing the 12 most recent of 20 posts we hold for @LB_lab. 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.
Named by 1 registered channel — 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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“LB_lab” (@LB_lab), 12 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/LB_lab.
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.