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Channel

Scientia | Геомеханика и Геотехника

@scientia_ru

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

1,089subscribers

+5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001781332382
TypeChannel
Username@scientia_ru
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/scientia_ru

Growth

1,0841,0891,086.57 August 2026 — 1,084 subscribers8 August 2026 — 1,084 subscribers11 August 2026 — 1,087 subscribers13 August 2026 — 1,089 subscribers7 August 202613 August 2026
4 measurements spanning 6 days, net +5. 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 1,083–1,090 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 16:181,089+2
11 Aug 2026, 01:071,087+3
8 Aug 2026, 00:061,084no change
7 Aug 2026, 23:251,084first reading

Engagement

11 posts held, back to 13 April 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
26.6%
avg views ÷ 1,089 subscribers
Avg views / post
290
4 posts measured
Reaction rate
6.12%
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 31 July 2026
Posts held11 (13 April 202631 July 2026)
Views total1,160
Reactions total71
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:06 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

Video runtime
38s
Average length
38s

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

238 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 48.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 542690339712510030711648.7%
custom 54291482219118941448234.5%
custom 54294331285674787413012.6%
custom 5298744648209037849104.20%

Custom emoji. Every row above is a 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 238reactions 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 13 April 2026 to 31 July 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.

Telegram Stars

Stars received
11
across the posts below
Posts paid on
9
of 11 we hold a reading for · 82%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @scientia_ru. 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 11 most recent posts we hold for this entry, published 13 April 2026 to 31 July 2026. 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.

Recent posts

31 Jul 2026, 04:49 UTC241 views14 reactionsread 8 August 2026
File

File, posted without a caption

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Signed Ivan Guzeev

31 Jul 2026, 04:49 UTC240 views20 reactions1 Starread 8 August 2026
Photo

🚀 Обновление ScientiaJoints 3.4.9 Обновили практически весь рабочий процесс структурного картирования в Blender — от постановки измерений на модели до анализа и экспорта результатов. ⛏️ Новые инструменты: 🔸Линейка — линейные измерения и определение ориентации плоскости по трём точкам непосредственно в 3D-виде, аналогично стандартному инструменту Blender. 🔸Полигон — построение плоскости по контуру трещины из трёх и

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Signed Ivan Guzeev

29 Jul 2026, 07:39 UTC240 views21 reactionsread 8 August 2026
Forwarded from @kms_geo

Друзья, приветствую! Меня зовут Алексей Медведев. Я сооснователь и управляющий директор компании ГЕОСУППОРТ. Уже почти 10 лет я работаю в горной промышленности, почти всё это время посвятив геотехническому мониторингу. И со многими из вас мы наверняка знакомы лично или заочно. Собственно, зачем мы здесь?) Есть проблема, которая давно не дает мне покоя. Геомеханика почти всегда воспринимается как статья расходов.

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Signed Ivan Guzeev

22 Jul 2026, 06:09 UTC439 views16 reactions1 Starread 8 August 2026
Photo

🧈 Подготовка и верификация исходных данных для блочного моделирования — это определяющий этап построения модели, именно на этом шаге закладывается качество всех последующих действий. Поэтому работу с данными следует начинать не с выбора метода интерполяции, а с анализа того, насколько сама выборка корректно описывает геологическое пространство. 1️⃣ Доменизация выборки. Общую совокупность исходных данных необходимо п

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16 Jul 2026, 04:28 UTC539 views29 reactions1 Starread 8 August 2026
Video

⭐️ На прошедшей в мае конференции в Санкт-Петербургском Горном университете представлен доклад о выполненной нами разработке и тестировании трёхмерной FDEM-модели для оценки устойчивости уступов и бортов карьеров. 💡 В докладе описана модель, которая учитывает большинство факторов, влияющих на устойчивость: свойства пород и их неоднородность, трещиноватость, тектонические нарушения, природное поле напряжений, подземн

custom 542914822191189414414custom 542690339712510030711custom 54294331285674787414

30 Jun 2026, 07:35 UTC666 views27 reactions1 Starread 8 August 2026
Video

⭐️ Основные виды обрушений на скальных откосах 📚 На скальных откосах по плоскостям структурных нарушений (система трещин, слоистость, контакт напластования) образуются кинематические блоки потенциального обрушения. Устойчивость таких блоков контролируется не прочностью породы, а ориентацией поверхностей ослабления относительно плоскости откоса и сдвиговой прочностью по этим плоскостям. Обрушение таких блоков происхо

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9 Jun 2026, 04:15 UTC725 views25 reactions2 Starsread 8 August 2026

⭐️ В журнале Mining (MDPI) опубликована статья об оценке развития водопроводящей зоны трещиноватости в подработанном массиве. 🎱 Особый интерес представляет применение Prorock: в работе построена FDEM модель, откалиброванная по физическому эксперименту. Модель позволила оценить развитие водопроводящей зоны и проследить механизм её формирования от локального обрушения кровли до объединения трещин в связанную проводящу

custom 542690339712510030713custom 54294331285674787417custom 54291482219118941445

2 Jun 2026, 05:59 UTC737 views24 reactions2 Starsread 8 August 2026
Video

Крупное обновление Prorock 2.3.0 🎱 Мы рады сообщить, что выпустили очередное обновление Prorock. В новой версии мы добавили много новых возможностей, которые делают нашу программу более удобной и функциональной. ℹ️ Наиболее важные улучшения 🔸Добавлена возможность импортировать свойства из блочной геомеханической модели. Импортируются показатели критериев прочности Мора-Кулона и Хука-Брауна. 🔸Добавлена возможность а

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13 May 2026, 07:11 UTC850 views18 reactions1 Starread 8 August 2026
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📡 Классификация трещин и механизм их формирования. Часть 2 ⭐️ В этом посте мы продолжаем трещиноватость не только как элемент геологического описания, но и как практический фактор, который влияет на геомеханические свойства массива, документацию керна, картирование бортов карьера и последующие расчёты устойчивости. Трещины классифицируют: 🔸по степени открытости и проявленности (скрытые, закрытые, открытые); 🔸по отн

custom 542914822191189414412custom 52987446482090378493custom 54269033971251003073

22 Apr 2026, 07:47 UTC790 views23 reactions1 Starread 8 August 2026
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📚 Типы трещин и механизмы их формирования. Часть 1 В структурной геологии и геомеханике картирование трещин — это не просто описание нарушений сплошности. Оно нужно для понимания того, каким образом эти нарушения сформировались и как они могут влиять на поведение массива, его проницаемость, устойчивость откосов, выработок и проектирование крепи. Существует несколько классификаций трещин: геометрические, генетически

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13 Apr 2026, 05:04 UTC818 views21 reactions1 Starread 8 August 2026
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⭐️ Вот и завершающая часть нашей серии постов про геомеханические рейтинги для откосов 📚 HI (Hazard Index) предложен L. Pantelidis в 2010 году для количественной оценки опасности обрушений скальных откосов с учётом климатических факторов. ✍️ Индекс HI рассчитывается как произведение двух составляющих: состояния массива (fNC) и триггерного механизма (fTM) для семи типов разрушений. В расчёте учитываются: для fNC —

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Signed Уже Есть Аккаунт

Showing the 11 most recent of 11 posts we hold for @scientia_ru. 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 — 775,729 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

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 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Scientia | Геомеханика и Геотехника” (@scientia_ru), 1,089 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/scientia_ru.

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.