Telegram RegisterThe public register of Telegram

Channel

Brodina.Method

@brodina_method

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

367subscribers

+1 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001939109934
TypeChannel
Username@brodina_method
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live12 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/brodina_method

Growth

366367366.511 Aug 2026, 22:31 — 366 subscribers12 Aug 2026, 18:06 — 367 subscribers11 Aug 2026, 22:3112 Aug 2026, 18:06
2 measurements taken within a single day, net +1. 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 366–367 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 18:06367+1
11 Aug 2026, 22:31366first reading

Engagement

11 posts held, back to 4 August 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
22.0%
avg views ÷ 367 subscribers
Avg views / post
80.6
11 posts measured
Reaction rate
46.6%
reactions ÷ views · ER floor
Posts in window
11
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 11 August 2026
Posts held11 (4 August 202611 August 2026)
Views total887
Reactions total413
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 22:31 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

Video runtime
47s
Average length
47s

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

413 reactions across 11 posts, in 6 distinct kinds. The most used accounts for 42.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17442.1%
🔥15136.6%
❤‍🔥368.72%
🍌266.30%
💘256.05%
🤩10.242%

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 413reactions 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 4 August 2026 to 11 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.

Telegram Stars

Stars received
9
across the posts below
Posts paid on
9
of 11 we hold a reading for · 82%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @brodina_method. 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 4 August 2026 to 11 August 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

11 Aug 2026, 07:46 UTC61 views29 reactions1 Starread 11 August 2026
Photo

#проверено 🔝🔝 Вариант работы с ребятами подросткового возраста, когда им трудно рассмотреть, что за гневом скрывается.. 🌋 Вулкан гнева

🔥138❤‍🔥3🍌3💘2

11 Aug 2026, 07:44 UTC62 views28 reactionsread 11 August 2026

Posted without readable text

11🔥10🍌3❤‍🔥2💘2

11 Aug 2026, 07:42 UTC60 views27 reactions1 Starread 11 August 2026

#охота_за_мнением 💬 А вы замечаете за собой этот цикл? ⬆️⬆️ в посте выше о цикле Поделитесь своими наблюдениями 👇👇

🔥119❤‍🔥3🍌2💘2

10 Aug 2026, 07:42 UTC76 views38 reactions1 Starread 11 August 2026
Photo

#обратная_связь 😡 Цикл гнева: почему злость не появляется «на ровном месте»? Гнев редко возникает мгновенно и без причины - это цепочка из пяти шагов, которая повторяется по кругу: 🥁 Триггер - событие или ситуация, которая «запускает» гнев человека 💭 Мысли - негативные мысли, которые возникают в результате события или ситуации 💔 Эмоции - негативные мысли приводят к негативным эмоциям 🧠 Физические симптомы - орг

16🔥14❤‍🔥3🍌3💘2

9 Aug 2026, 15:42 UTC76 views40 reactionsread 11 August 2026
Photo

#РПА_подкаст 🎙 Второй выпуск подкаста «Тревога, которая никогда не спит: как мы научились бояться собственной тени и что с этим делать» на обеих площадках 📺 Смотреть на Рутуб 🔭 Смотреть на Ютуб

16🔥15❤‍🔥5🍌2💘2

8 Aug 2026, 15:42 UTC83 views42 reactions1 Starread 11 August 2026
Photo

#всего_4_минуты ↗️ Тест для оценки эмоциональной осознанности ✏️👌 Пройти тест Готтман разработал тест для того, чтобы взрослые смогли взглянуть на свою эмоциональную жизнь и понять, насколько они позволяют себе испытывать именно гнев и печаль.. 😡 и 😔 Результат поможет приблизиться к ответу на вопрос, почему вы реагируете на эмоции других людей, особенно на эмоции ребенка (детей), именно так, как вы это делаете..

20🔥10❤‍🔥6🍌3💘3

7 Aug 2026, 15:44 UTC89 views45 reactions1 Starread 11 August 2026
File

Приятного прослушивания 🎵🐾

21🔥18❤‍🔥2🍌2💘2

7 Aug 2026, 15:42 UTC89 views44 reactions1 Starread 11 August 2026
Photo

#всего_4_минуты 📖 Книга 1 и Книга 3 пересеклись в точке «дрессированных истеричек» доктора Шарко, поэтому проиллюстрирую слайдом, а потом перейдем к Фрейду 😍

🔥2018❤‍🔥2🍌2💘2

6 Aug 2026, 15:42 UTC90 views36 reactions1 Starread 11 August 2026
Photo

#всего_4_минуты 📖 Книга 3. «Взламывать психологию» будем в карточках 👆👆👆 Основные вехи психологии как науки.. и начнем с психофизической проблемы.. Как доказать, что психика существует? Объекты и явления в физическом мире можно хотя бы измерить и оценить при помощи приборов. Например, можно взвесить яблоко.. но как измерить мысль? Когда человек представляет одно яблоко, а потом, к примеру, тысячу яблок, его голов

15🔥15❤‍🔥2🍌2💘2

5 Aug 2026, 15:42 UTC97 views44 reactions1 Starread 11 August 2026
Photo

#обратная_связь Главная идея Джона Готтмана очень проста: отрицательные эмоции ребенка - грусть, злость, страх - это не проблема, которую нужно срочно устранить. Это момент, когда ребенок особенно открыт и нуждается в близости.. «эмоциональный воспитатель» видит в этом не помеху, а возможность.. Как это выглядит на практике: 💭 такой родитель спокойно находится рядом с расстроенным ребенком, эмоции его не пугают и н

24🔥11❤‍🔥5🍌2💘2

4 Aug 2026, 15:42 UTC104 views40 reactions1 Starread 11 August 2026
Video

#Brodina_identity 😍 Кстати, не могу не похвалиться тем, как мы с Татьяной Владимировной обустроили наш кабинет к новому учебному году! Редкие кадры 🥹 начиная с переезда, когда я еще не представляла, что нас будет целая команда, и заканчивая белым пианино.. 🎹🤍

16🔥14💘4❤‍🔥3🍌2🤩1

Showing the 11 most recent of 11 posts we hold for @brodina_method. 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 — 378,819 of 1,480,688entries 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.

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

“Brodina.Method” (@brodina_method), 367 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/brodina_method.

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.