Channel
@mariasyomina_hsb
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
529subscribers
-6 since we began measuring on 28 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001540246097 |
|---|---|
| Type | Channel |
| Username | @mariasyomina_hsb |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 28 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/mariasyomina_hsb |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 46% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 22:01 | 529 | -2 |
| 7 Sept 2026, 20:58 | 531 | -4 |
| 29 Aug 2026, 15:13 | 535 | no change |
| 28 Aug 2026, 20:30 | 535 | first reading |
10 posts held, back to 20 August 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 page of Telegram’s post history, 20 posts per page.
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 27 August 2026 |
|---|---|
| Posts held | 10 (20 August 2026 – 27 August 2026) |
| Views total | 42 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 20:30 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.
Measured directly from 6 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.
52 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 63.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 33 | 63.5% | |
| 🔥 | 12 | 23.1% | |
| 🥰 | 3 | 5.77% | |
| 👍 | 2 | 3.85% | |
| 😢 | 2 | 3.85% |
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 10 of the 10 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 52 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 20 August 2026 to 27 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.
Разбор Карта отношений с деньгами для Валентины Часть 2. Уроки Души в сфере финансов Во второй части разбора Карты отношений с деньгами смотрим на деньги совсем под другим углом. Иногда их роль в жизни человека — не просто обеспечить комфорт или дать больше возможностей. Через деньги человек может учиться ценить себя, опираться на себя, проявляться и наконец увидеть собственную силу. И тогда финансовый рост стано…
❤2🔥1
Иногда стоит остановиться и честно посмотреть: какие сферы моей жизни сейчас ощущаются неподъёмными для меня? Где мне слишком тяжело и я больше не справляюсь? И постепенно возвращать в свою жизнь себя: свои интересы, желания, планы, людей, маленькие вещи, которые действительно радуют. ❕Чем больше в жизни того, что даёт нам радость и ощущение себя, тем легче становится выдерживать остальное. ❕ А там, где самостояте…
❤8
Мысль, которая вернула меня в прошлое, но с очень важным посылом 💌 от Души Раньше часто так себя чувствовала утром: "Не хочу просыпаться" А что это означает - рассказала дальше 📩
❤2😢2
Трансформация (которая болезнь) отпускает хватку Провела сеанс энергоподдержки ребенку сегодня и первую целительную сессию
❤3
Аудио версия Разбор «Карты отношений с деньгами» для Валентины часть 1
🔥2
Разбор Карта отношений с деньгами для Валентины Часть 1. Общие ограничения и страхи Деньги редко бывают только про деньги. Иногда за одной финансовой проблемой - целый слой причин, которые переплетаются между собой и незаметно ведут человека по одному и тому же сценарию. Записаться на разбор Карты денег @maria_syomina_h
🔥4
Я человек, который болеет очень редко. Но, если заболеваю, то всегда этому есть ПРИЧИНА. В этот раз моя причина запустила мощную волну трансформаций и вчера (6 день) снова встала с температурой. И такое же мощное моё сопротивление что-либо с этим делать может означать только одно ☝️: внутри слишком БОЛЬШОЙ СТРАХ или БОЛЬ. А сама болезнь - это когда жизнь настойчиво обращает внимание на то, с чем пора разобраться,…
❤7
Сопротивление умеет очень хорошо маскироваться. Мы привыкли думать, что сопротивление - это когда мы прямо отказываемся что-то делать. А оно может выглядеть гораздо безобиднее: чай, уборка, телефон, внезапное желание поесть, фильм, «сначала вот это сделаю - потом займусь». И ты вроде ничего не избегаешь. Ты просто почему-то весь день очень занят. 😄 А потом выясняется, что за этим «не хочу сейчас» было что-то, куд…
❤5🥰3
Photo, posted without a caption
❤4🔥4👍1
Зачем Душа выбирает финансовые трудности и безденежье? Регрессионное исследование темы денег, о котором вам не расскажут.
❤2👍1🔥1
Showing the 10 most recent of 10 posts we hold for @mariasyomina_hsb. 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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“Мария Сёмина | Духовный наставник” (@mariasyomina_hsb), 529 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/mariasyomina_hsb.
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.