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Channel

АУДИОЛАГУНА | МОЁ ЗВУКОВОЕ ПОЛЕ

@audiolaguna

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

825subscribers

+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-1001871472207
TypeChannel
Username@audiolaguna
DescriptionТёплая бухта посреди шумного мира. Ваша. Пишите сюда ваши любые вопросы: https://t.me/audiolagunabot?start=start
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held2
On Telegramt.me/audiolaguna

Growth

8257 Aug 2026, 12:23 — 825 subscribers8 Aug 2026, 01:31 — 825 subscribers7 Aug 2026, 12:238 Aug 2026, 01:31
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 824–826 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 01:31825no change
7 Aug 2026, 12:23825first reading

Engagement

11 posts held, back to 9 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.0%
avg views ÷ 825 subscribers
Avg views / post
148
4 posts measured
Reaction rate
15.0%
reactions ÷ views · ER floor
Posts in window
4
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held11 (9 June 20264 August 2026)
Views total593
Reactions total89
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:31 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
109
Videos
81
Links
53

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
5m 06s
Average length
5m 06s

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

244 reactions across 11 posts, in 8 distinct kinds. The most used accounts for 34.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥8534.8%
🔥6727.5%
👏3112.7%
🐳229.02%
🎉187.38%
custom 5463316267299519466114.51%
custom 546328469928989371062.46%
custom 546303197482426205741.64%

Custom emoji. 3 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 11 of the 11 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 244reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 9 June 2026 to 4 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.

Recent posts

4 Aug 2026, 08:27 UTC76 views23 reactionsread 8 August 2026
Photo

🌱✨Новостной ежемесячный дайджест Аудиолагуны Что мы сделали за июль? ⚡Запустили масштабный интенсив для всех всех всех, кто хочет помогать другим ⚡Познакомили аудиторию с новой мастерицей - Катериной Бриз, на секундочку, она более 16 лет помогает людям👀 ⚡Обновили ру сайт и запустились на домене .com 🐬 активно заходим на иностранный рынок ⚡Выпустили волшебный подкаст «Прогулка с Артом» на 33:33 как всегда заряжаю

❤‍🔥13🐳5👏4custom 54630319748242620571

31 Jul 2026, 07:58 UTC149 views25 reactionsread 8 August 2026
Voice message

Заряженная прогулка с Артом и вами🔥 Там сильные и теплые инсайты для мастеров и проводников, а также щепотка отрезвляющих эмоций 🥥😬 однозначно стоит прослушать до конца. Тот самый интенсив для долгосрочного и уверенного роста мастеров ТУТ

🔥9🎉7❤‍🔥6👏2🐳1

30 Jul 2026, 10:15 UTC162 views19 reactionsread 8 August 2026
Photo

🌊 Новый проводник Катерина Бриз в Лагуне Она энерготерапевт, психолог, остеопат и создательница "Академии духовного роста" 🔥 Удивила чем? Сначала фамилией и как это синхронится с Лагуной 🐬 А далее тем, что она уже более 16 лет помогает людям, больше 50 обучений и 25 000 часов личной практики - и при этом ноль пафоса, только спокойная ясность 🐚 ...она оооочень долго шла к своему и изучала человека сразу с трёх стор

❤‍🔥9🔥4custom 54633162672995194664🐳1👏1

23 Jul 2026, 16:53 UTC206 views22 reactionsread 8 August 2026
Video

Вот такие новости! 🔑 Открыт конструктор текстов для медитаций 🎧❤️ Посмотрите быстрый обзор от Арта 💻

🎉10custom 54633162672995194665❤‍🔥4🐳1👏1🔥1

7 Jul 2026, 15:59 UTC324 views28 reactionsread 8 August 2026
Photo

Новость! Серые времена рождают бирюзовых мастеров 🌤 Некоторые проводники отслужили своё, их время закончилось...кто-то стал блогером и развлекает людей (это тоже путь), кто-то выгорел на сессиях, кто-то возгордился или просто отлетел. Сейчас уже опытные мастера ищут новые возможности для своего пути. А новый очень сильный свежий поток людей стремительно приближаются к этой миссии. Они даже НЕ называя себя проводник

🔥11❤‍🔥9👏4custom 54630319748242620573🐳1

26 Jun 2026, 07:43 UTC262 views34 reactionsread 8 August 2026
Video message

Video message, posted without a caption

🔥14❤‍🔥12👏6🐳2

18 Jun 2026, 14:03 UTC333 views25 reactionsread 8 August 2026
Photo

Почему кто-то из мастеров выгорает от бесконечных сессий, а кто-то растёт до миллионов со скоростью звука? 🐬 Первые продают часы своего внимания. Вторые просто создали систему, где вибрация голоса и опыт упакован в сильном продукте, который продаётся на полу-автомате. Этот переход совершает каждый мастер, и делает время своим другом 🫂 https://teletype.in/@audiolaguna/cEBw9nERHRf 👆 читаем сочную красивую статью

❤‍🔥10🔥9🐳5custom 54632846992898937101

12 Jun 2026, 14:51 UTC280 views15 reactionsread 8 August 2026
Photo

🌊 Два новых проводника в Лагуне - Катя и Ольга. И каждой свой уникальный путь 🐚 Катя - психолог, женский ментор из США. Методика "цветка жизни" - тонкая настройка состояний и раскрытие женской природы 🌺 Удивила, что она работает с аудиторией по всему миру - и при таком масштабе ни одного вопроса. Пришла, разобралась легко, записала. Мы даже не успели ничего объяснить 🔥 Ольга - мастер джнана-йоги "сознание сердца".

🔥6👏5🐳4

11 Jun 2026, 17:00 UTC195 views15 reactionsread 8 August 2026
Photo

🌊 Новый проводник Наталья в Лагуне Мы тоооооолько подписали с ней договор - и к нам уже летит голос для первой практики. Мы даже поприветствовать не успели 🔥 Наталья регрессолог и психолог, работает с подсознанием, находит и убирает глубинные причины проблем в повторяющихся сценариях 🐚 ...такой старт абонемента бывает нечасто, но у каждого своя скорость...И кстате! Насчёт времени... Осталось ровно 24 часа до закр

❤‍🔥5🔥4👏3🎉1🐳1custom 54633162672995194661

10 Jun 2026, 16:13 UTC174 views19 reactionsread 8 August 2026
Photo

🌊 Новая мастерица в Лагуне - Людмила! Удивила нас тем, что она зашла в фокус-группу нашего интенсива (который почти готов), и посмотрев только начало, она не стала дожидаться остального)) Просто написала - готова нырять, начинаем 🔥 + до этого Людмила побывала в нашей коллективной нейромедитации ста мастеров - и этого ей хватило, чтобы всё почувствовать. Людмила - энергопрактик, автор метода «Точка силы». Работает

❤‍🔥9👏5🔥5

9 Jun 2026, 11:05 UTC173 views19 reactionsread 8 August 2026
Photo

"БОЛЬШЕ ЧЕМ МЫ. Это живая энергия Бога". Родники! Смотрите, эти чудесные мастера ТОЖЕ сомневались и переживали перед заходом в процесс (как и все живые люди), НО прочтите, что пишут в процессе🙏 ...честно, мы не успеваем оформлять все эти слова мастеров, т.к. почти каждый день примерно столько отзывов нам приходит, без просьб с нашей стороны что-то написать📍

❤‍🔥8custom 54632846992898937105🔥4🐳1custom 54633162672995194661

Showing the 11 most recent of 11 posts we hold for @audiolaguna. 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 — 1,338,592 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.

Mentions

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.

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.

“АУДИОЛАГУНА | МОЁ ЗВУКОВОЕ ПОЛЕ” (@audiolaguna), 825 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/audiolaguna.

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.