Telegram RegisterThe public register of Telegram

Channel

Лонгридошная

@longread_media

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

108subscribers

+0 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001985205242
TypeChannel
Username@longread_media
DescriptionЖурнал про невидимый эдтех для тех, кто делает учебный контент. Сайт: https://longread.media Главред: @philanek Почта: hello@longread.media Вопросы: @ecourse_longread
CreatedBetween 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/longread_media

Growth

1086 August 2026 — 108 subscribers9 August 2026 — 108 subscribers6 August 20269 August 2026
2 measurements spanning 3 days. 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 107–109 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 07:47108no change
6 Aug 2026, 07:22108first reading

Engagement

20 posts held, back to 6 February 2025the 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
320.4%
avg views ÷ 108 subscribers
Avg views / post
346
1 post measured
Reaction rate
0.867%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 23 July 2026
Posts held20 (6 February 202523 July 2026)
Views total346
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 07:47 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
23
Links
23

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.

Reaction mix

66 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 43.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2943.9%
🔥2233.3%
1319.7%
👀11.52%
👏11.52%

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 15 of the 20 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 66reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 6 February 2025 to 23 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.

Advertising

Ad load
5.00%
1 of 20 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
778
over 1 measured post
Median views · rest
179
over 19 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzquzk3yQ127 October 202527 October 2025

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 20 most recent posts we hold, published 6 February 2025 to 23 July 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

23 Jul 2026, 15:56 UTC346 views3 reactionsread 9 August 2026
Photo

Ручная вёрстка курсов покидает чат: как жить дальше — Стой. Ты сейчас всерьёз хоронишь Storyline и iSpring? 🧐 — Не конкретные инструменты. Саму привычку двигать квадратики часами и называть это «разработкой». — Так это же самое классное в профессии! Триггеры, переменные, сложные механики… 😭 — Для автора — возможно. А для слушателей — нет. Им нужны смыслы и польза, причём быстро, а не ваш шедевр на сотню слайдов и

🔥3

19 Jun 2026, 12:49 UTC486 viewsread 9 August 2026
Photo

Смотр лучших технологий для среднего профессионального образования — Вокруг один инфобиз, корпоративный эдтех, курсы по ИИ и Moodle! 🫠 — А минусы будут?.. 🙄 — Даже для школьного образования что-то есть. А где сервисы и технологии для СПО? 😤 — Ну так несите, показывайте. Вот прямо для СПО есть целая номинация на Стартех.Премии 2026, там именно такие проекты ждут до 25 июня 😎 〰️〰️〰️ Для кого номинация: образовате

6 May 2026, 05:15 UTC576 views3 reactionsread 9 August 2026
Photo

Мы помним, кого мы учим? — В нашем курсе будут персонажи, история, диалоги и драматургия! 🤗 — Классно! Вы учите пятиклассников? 😋 — Эм, нет, мы учим молодых руководителей 27-32 😕 — А почему вы считаете, что их надо учить, как в младшей школе?.. 🌚 〰️〰️〰️ О чём материал: Елена Тихомирова, CEO «Живого обучения» — о том, как за мишурой кнопок, диалогов и микродозинга контента вы забываете потребности взрослых людей

🔥3

10 Apr 2026, 12:18 UTC510 viewsread 9 August 2026
Photo

ИИ как инструмент управления корпоративными знаниями и обучением сотрудников — Вроде пишем много документации и справок, но всё равно хаос в материалах... 😑 — А как вы их храните и используете? 🤔 — В PDF-ках, презентациях, папках на сервере. Как все 🙄 — «Как все» в 18-м веке, возможно. Приходите 23 апреля на конференцию TEAMLY x QSOFT, там про это будут рассказывать в деталях 🙂 〰️〰️〰️ О чём конференция: как уск

25 Dec 2025, 15:03 UTC160 views2 reactionsread 9 August 2026
Photo

Как снизить когнитивную усталость — А можно вообще всю усталость снизить? 🫠 — Немного осталось до праздников. Держимся 🫠 — Моя когнитивная усталость не позволит это прочитать 😑 — Ноль процентов осуждения, прочитаете потом 🫡 〰️〰️〰️ О чём материал: почему нехватка внимания — это не всегда проблема мотивации, и что делать, чтобы даже уставшие люди получили пользу от вашего обучения. Кому переслать: — методистам и

👍2

3 Dec 2025, 09:43 UTC159 viewsread 9 August 2026
Photo

School of Education Award принимает номинации — Опять партнёрский пост? Где контент! 😡 — Рабочие задачи забирают внимание. Но тут текст готовый и повод хороший — премия School of Education Award. — А почему повод хороший? 🧐 — Номинируем «Лонгридошную» 😈 〰️〰️〰️ О чём премия: качественный образовательный опыт учащихся во всех ипостасях, включая популяризацию (это мы) Кому переслать: — экспертам образовательной с

27 Oct 2025, 11:05 UTC778 views2 reactionsread 9 August 2026
Advertisementerid 2Vtzquzk3yQPhoto

HR-конференция HR & ED TECH SUMMIT 2025 — Вокруг ИИ в HR столько хайпа, что не видно пользы! 🥲 — Неправда. Хайпа действительно много, но польза тоже есть. Надо найти тех, кто её получил, и изучить их опыт. — А где их искать? 🤔 — 27-28 ноября 2025 года на HR-конференции HR & ED TECH SUMMIT 2025. Там будут живые демонстрации работы с ИИ, обмен опытом использования платформ, кейсы автоматизации подбора персонала и о

👍1🔥1

9 Sept 2025, 06:15 UTC805 views4 reactionsread 9 August 2026
Photo

Вредные советы для разработчиков корпоративного обучения — Сегодня продолжаем тему ошибок? 🧐 — Не совсем. Ошибки — это ошибки, а вредные советы — это конкретная литературная отсылка. — И что с ними делать? 😬 — Ни в коем случае им не следовать, это очевидно. Увидев в них себя — перестать такими быть. Увидев в них других — ненавязчиво переслать им эту статью и понаблюдать за реакцией. 〰️〰️〰️ О чём материал: утрир

👍4

2 Sept 2025, 13:20 UTC166 views3 reactionsread 9 August 2026
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Кем быть автору в eLearning — Ого, возвращение после перерыва? 👀 — Ага. Работа была приоритетнее, семья — тем более. Но мы на треке восстановления постинга. — Окей, с какой статьёй возвращаемся? 🧐 — Начинаем формулировать, почему письменная речь — это ключевая компетенция для создания любого обучения. Конкретно сейчас: как в eLearning могут применить себя коммерческие авторы и редакторы. 〰️〰️〰️ О чём материал:

👍3

4 May 2025, 07:15 UTC212 views5 reactionsread 9 August 2026
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Десять ошибок разработчиков электронных курсов — Что за ошибки? Технические? 🧐 — Идеологические. Это будет шоком, но неуместная геймификация и фантастические истории — не работают. — Да позиция редактора понятна, он известный хейтер курсов со сторителлингом! 😂 — Точнее сказать «хейтер электронных курсов с инфантильными рассказами, которые не помогают учить». Да, это так. Но вот эту статью написал не главред — и о

🔥32

23 Apr 2025, 05:36 UTC188 views4 reactionsread 9 August 2026
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— Что за мужик на картинке? 🤔 — Это неточное воспроизведение нейронкой внешности Малколма Ноулза. Это педагог и исследователь из США. Он изучал андрагогику и сформулировал её семь принципов. — Что за андрагогика? Очередная высоколобая концепция, которую непонятно как использовать? Когда уже будет что-то прикладное... 🙄 — Так прямо сейчас и будет. Перевели и адаптировали статью про принципы андрагогики, где вполне

🔥31

28 Mar 2025, 20:02 UTC188 views4 reactionsread 9 August 2026
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Что такое eLearning — Да мы уже знаем! Это слайдовые курсы в нашей LMS 🙄 — И всё? А вебинары? Прямые эфиры в соцсетях и лонгриды? Подкасты? А VR-тренажёры? Все эти форматы тоже относятся к eLearning — электронному обучению. — Пфф, ну, тогда и минутный ролик «Как складывать футболку» — это тоже eLearning! 😆 — Совершенно верно: eLearning может быть очень разным. Мы как раз перевели и адаптировали статью, которая эт

👍2🔥2

Showing the 12 most recent of 20 posts we hold for @longread_media. 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 — 199,214 of 1,160,990entries 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“Лонгридошная” (@longread_media), 108 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/longread_media.

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.