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 131–133 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 00:31
132
no change
8 Aug 2026, 17:32
132
first reading
Engagement
15 posts held, back to 13 August 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 pageof 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 15 posts for this entry, the most recent from 7 October 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
59
Videos
83
Links
27
Lifetime counters from Telegram’s own channel header, read 9 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
3m 39s
Average length
44s
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.
Reaction mix
55 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 52.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
29
52.7%
🔥
23
41.8%
👍
3
5.45%
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 12 of the 15 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 55reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 13 August 2025 to 7 October 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
2
of 14 we hold a reading for · 14%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tensenschool. 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 15 most recent posts we hold for this entry, published 13 August 2025 to 7 October 2025. 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.
Дорогие друзья, ученики и коллеги!
Важная информация по набору на этот год.
У меня осталось 14 дипломов государственного образца, которые я могу выдать бесплатно. В конце года школа проходит повторную аккредитацию, и после нее стоимость обучения вырастет.
Это последняя возможность получить диплом по текущей цене.
На этой неделе я сформирую расписание на осень, ориентируясь на первых записавшихся учеников. Чем ран…
Почему люди владеющие тайским массажем владеют профессией будущего? 🚂🚂🚂
Я думаю все уже напрямую или косвенно столкнулись с тем, как искусственный интеллект и технологии на его основе вытеснили множество профессий и часть функционала, который обеспечивался людьми и это не предел. AI-технологии развиваются быстрыми темпами, даже если мы этого не видим или не хотим видеть.
Для части людей это стало проблемой, для час…
Второй Открытый мастер-класс по традиционным тайским техникам релаксации и работы с телом в Ландшафтном парке "Митино"🌿
✨Желающие познакомиться с основами искусства бодиворка, его происхождением, освоить основы практики, а также бытовые приемы снятия напряжения могут поучаствовать в бесплатном мастер-классе.
💯Участников ждет погружение в тайскую культуру, знакомство с историей возникновения работы с телом, а также п…
Интенсив 40 часов за 5 дней
Результат 2-го дня
Сегодня 3-ий день интенсива, мы дали Владимиру всю программу до конца, сейчас идет финальный прогон на модели. Пока с подсказками. Завтра у нас будет еще 2 модели.
Такое обучение трудно даже для меня, но Владимир справляется отлично!
Первые шаги в создании сайта моей мечты 🥰
https://taplink.cc/tensenmassage?from=qr
Пока вместо ссылок просто мой номер телефона. Вместо меня и моих учеников - две азиатские девчушки. Сам сайт не готов и даже не написан. Но начало положено 🚀
Интенсив 40 часов за 5 дней
За эти 5 дней мы:
- осваиваем 1,5-часовую программу
- привыкаем к разным людям и телам
- учимся находить клиентов
- правильно позиционировать себя как мастера
- верить в свое ремесло
Каждый день я буду добавлять сюда результаты предыдущего дня
Записаться на обучение:
⬇️
https://t.me/tensenschool/291
ИДЕТ НАБОР В ГРУППЫ:
ТРАДИЦИОННЫЙ ТАЙСКИЙ МАССАЖ
Выберите удобный для вас формат обучения! Осталось совсем немного мест.
🕙 УТРЕННЯЯ ГРУППА (10 дней)
📅 Даты: 1-12 сентября (выходные 6-7.09)
⏰ Время: 10:00 – 14:00
✅ Свободно: всего 2 места
🌙 ВЕЧЕРНЯЯ ГРУППА (10 дней, график 2/2)
📅 Даты: 8,9,12,13,16,17,20,21 сентября
⏰ Время: 16:00 – 20:00
✅ Свободно: 4 места
🚀 ПЯТИДНЕВНЫЙ ИНТЕНСИВ
📅 Даты: 1-5 октября
⏰ Время: 10:0…
РЕЗУЛЬТАТЫ
Провели мастер-класс, в общей сложности в мероприятии поучаствовали 9 человек, семеро успешно попрактиковались. Огромная благодарность всем участникам!
Фото и видео процесса без нарезки я выложу в комментариях под этим постом, где вы сможете их посмотреть и скачать.
🔥 СРОЧНО! ВСЕГО 1 МЕСТО! 🔥
ЗАБРОНИРОВАНО!
19 - 23 АВГУСТА | ИНДИВИДУАЛЬНО | 10:00 - 18:00 | м. Митино проведу Супер-Интенсив по традиционному тайскому массажу.
Всего 5 дней!
Проект экспериментальный. Поэтому смельчака ждет приятный сюрприз.
Подробности - при личном обращении!
В конце – экзамен и выдача удостоверения на государственном бланке.
Готов серьезно работать 5 дней подряд для быстрого результата - пиши ➡️
@th…
Showing the 12 most recent of 15 posts we hold for @tensenschool. 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.
Citation-graph rank
Citation-graph rank — 1,270,747 of 1,478,351entries 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
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 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@tensenschool named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@thaimassageschool named in 2 posts, 9 August 2026 – 9 August 2026
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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“Школа тайского массажа Яны Черниковой | TenSen” (@tensenschool), 132 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/tensenschool.
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.