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Channel

LIFEL.RU🧑‍💻🎓 — про электронное обучение

@lifel_ru

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

649subscribers

-3 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-1001812577488
TypeChannel
Username@lifel_ru
Created11 December 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/lifel_ru

Growth

649652650.56 August 2026 — 652 subscribers6 August 2026 — 652 subscribers6 August 2026 — 651 subscribers13 August 2026 — 649 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net -3. 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 649–652 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:38649-2
6 Aug 2026, 20:00651-1
6 Aug 2026, 17:30652no change
6 Aug 2026, 07:20652first reading

Engagement

15 posts held, back to 26 June 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
25.9%
avg views ÷ 649 subscribers
Avg views / post
168
12 posts measured
Reaction rate
4.12%
reactions ÷ views · ER floor
Posts in window
12
of 15 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 6 August 2026
Posts held15 (26 June 20266 August 2026)
Views total2,015
Reactions total83
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 17:30 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.

Reaction mix

115 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 39.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 54496182722678122504539.1%
🔥3429.6%
👍2118.3%
119.57%
custom 544955484848574972143.48%

Custom emoji. 2 of the rows above are 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 15 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 115reactions 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 26 June 2026 to 6 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.

Advertising

Ad load
6.67%
1 of 15 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
181
over 1 measured post
Median views · rest
127
over 14 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
2W5zFGockw3122 July 202622 July 2026

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 15 most recent posts we hold, published 26 June 2026 to 6 August 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

6 Aug 2026, 06:04 UTC45 views4 reactionsread 6 August 2026
Forwarded from @labmedia_suPhoto

👾 100+ курсов в одном конструкторе вместо зоопарка инструментов Поточная разработка — это быстрый выпуск десятков или даже сотен однотипных курсов. Но сценарий, дизайн и сборка часто ведутся в разных программах: растёт число согласований, сроки сдвигаются, качество страдает. На вебинаре расскажем, как в Лабмедиа объединили работу над всеми этапами разработки в ДелайКурс. Разберём: 🔹 как устроен процесс «поточки» 🔹

🔥4

5 Aug 2026, 09:15 UTC61 views2 reactionsread 6 August 2026
Photo

Как бизнесу адаптироваться к новым киберугрозам В Москве прошел бизнес-бранч с Андреем Масаловичем Рынок кибербезопасности и цифровых технологий в 2026 году меняется быстрее, чем большинство компаний успевают адаптировать процессы управления рисками. Искусственный интеллект становится одновременно инструментом повышения эффективности и источником новых угроз: растут масштабы фишинга, появляются дипфейки, усложняютс

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4 Aug 2026, 07:05 UTC69 views4 reactionsread 6 August 2026
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Как управлять образовательным проектом Михаил Осипов про личный опыт и ошибки На этот раз Михаил Осипов на личном опыте и ошибках рассказал, как управлять образовательным проектом. Напомним, что Михаил — образовательный методолог, консультант, руководитель трёх команд на фрилансе, создатель телеграм-канала «Лаборатория онлайн-обучения», автор курса-книги по основам андрагогики. Основные темы эфира: ✅ Что такое о

custom 54496182722678122504

3 Aug 2026, 11:15 UTC81 views5 reactionsread 6 August 2026
Forwarded from @labmedia_suPhoto

💥 Как перевести обучение в новую систему СДО выбрана, впереди запуск. Но как завести в систему всех сотрудников? Нужна ли им инструкция? Кто наполнит базу знаний — и как сделать так, чтобы ей действительно пользовались? На вебинаре разберём, как: 🔹 организовать регистрацию 🔹 познакомить команду с платформой 🔹 сразу начать структурировать контент 🔹 сопровождать пользователей 🔹 поддерживать интерес к обучению Спикер

🔥5

1 Aug 2026, 05:45 UTC97 views14 reactionsread 6 August 2026
Photo

«Режим работы метро Питера» — сервис от LIFEL Онлайн-сервис режима работы станций метрополитена Санкт-Петербурга Мы в LIFEL кроме обзора мероприятий, программных решений и специалистов в сфере электронного обучения, ещё и создаём полезные сервисы. Причём, не только связанные с eLearning, как это было со SCORM-конвертером, но и в целом удобные помощники по жизни. На этот раз представляем онлайн-сервис по работе пит

🔥6custom 54495548484857497214custom 54496182722678122504

30 Jul 2026, 09:51 UTC255 views8 reactionsread 6 August 2026
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Портрет разработчика курсов: Александр Панкрушин Настоящее обучение происходит через промахи, хоть это может быть больно и страшно Этот #ПортретELearning показывает, как в обучение можно попасть по совету одногруппницы 😉👍 Александр поделился большой историей, как начинал с обучения сотрудников на АЗС, а дошёл до руководства методологическими процессами в eLearning Center. А также рассказал о том, какой вклад в эт

custom 54496182722678122508

27 Jul 2026, 15:20 UTC136 views6 reactionsread 6 August 2026
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Unicraft LMS — Корпоративное обучение с ИИ аналитикой и база знаний В 2018 году на LIFEL уже выходил обзор российской LMS Unicraft. С тех пор платформа заметно изменилась: появились отдельные модули для базы знаний, мероприятий и опросов, мобильное приложение, расширенная статистика и ИИ-аналитика. Разберём ключевые механизмы платформы, роли участников обучения и возможности, которые влияют на выбор LMS. В этом обз

🔥4custom 54496182722678122502

22 Jul 2026, 07:46 UTC181 views12 reactionsread 6 August 2026
Advertisementerid 2W5zFGockw3Photo

Работа над ошибками для учителей и методистов Готовили материалы и планы уроков за полночь? Исправляйтесь — берите на вооружение ИИ. К новому учебному году Академия Эдюсон дарит бесплатный гайд «30 задач методиста, которые усилит ИИ». Внутри — реальные сценарии: они помогут быстрее готовить материалы, экономить время и делать обучение актуальным. А для полного погружения приходите на программу «Нейросети в образов

custom 54496182722678122505👍4🔥3

21 Jul 2026, 16:18 UTC139 views6 reactionsread 6 August 2026
Photo

Стартует серия бизнес-завтраков с КиберДедом! 30 июля в пространстве EverestSiberia состоится бизнес-завтрак «Кофе, круассаны и коллапс ИИ: антикризисный рецепт от Андрея Масаловича» — камерная встреча для руководителей, предпринимателей и специалистов, которые уже используют искусственный интеллект или только планируют внедрять его в бизнес-процессы. Сегодня ИИ обещает компаниям быструю аналитику, снижение издерже

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21 Jul 2026, 09:14 UTC127 views6 reactionsread 6 August 2026
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«ЦИФРОВОЕ ОБУЧЕНИЕ 2026» — Деловой Форум Как выйти на новый уровень в эпоху ИИ и оптимизации? 29−30 сентября в Москве состоится XV Всероссийский Форум по цифровизации корпоративного обучения «ЦИФРОВОЕ ОБУЧЕНИЕ 2026». Более 80 руководителей по дистанционному обучению встретятся, чтобы переосмыслить подходы к корпоративному обучению в условиях оптимизации бюджетов, высокой нагрузки на команды и стремительного развити

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19 Jul 2026, 12:10 UTC125 views5 reactionsread 6 August 2026
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Поддержка Билайн на системе управления знаниями Minerva Knowledge Единая система управления знаниями поддержки Билайн объединит сотрудников контакт-центра, цифровые сервисы и ИИ-инструменты При выборе решения компания ориентировалась на гибкость, масштабируемость и готовность системы к интеграции с ИИ. Среди ключевых требований были умный поиск с поддержкой поиска по смыслу, ключевым словам, формата вопрос–ответ, д

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16 Jul 2026, 14:23 UTC699 views11 reactionsread 6 August 2026
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Елизавета Говорунова про Центр Современной Педагогики IThub ЦСП IThub готовит педагогов, способных справляться с современными вызовами Количество информации, потребность в обучении и само обучение с каждым годом меняется. Ожидается, что другим должен быть и подход к подготовке преподавателей. Поделиться мнением по этой теме мы попросили представителя победителей Национальной премии негосударственного образования 20

custom 54496182722678122506🔥5

Showing the 12 most recent of 15 posts we hold for @lifel_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.

Citation-graph rank

Citation-graph rank — 101,151 of 1,176,251entries 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 2 registered channels — 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.

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

“LIFEL.RU🧑‍💻🎓 — про электронное обучение” (@lifel_ru), 649 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/lifel_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.