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Channel

Лекторий «ЛизаАлерт»

@la_lektoryi

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

10,380subscribers

+208 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001285918021
TypeChannel
Username@la_lektoryi
DescriptionДелаем доступными знания о поисковом добровольчестве и стираем границы между регионами. Онлайн-встречи с опытнейшими волонтерами отряда «ЛизаАлерт» и не только. Пожелания и предложения ➡️ @lektoriy_feedback_bot
Created16 February 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held55
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/la_lektoryi

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 60% 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 the other topics.

Growth

10,17210,40410,2886 August 2026 — 10,172 subscribers6 August 2026 — 10,172 subscribers7 August 2026 — 10,176 subscribers9 August 2026 — 10,181 subscribers9 August 2026 — 10,183 subscribers10 August 2026 — 10,190 subscribers11 August 2026 — 10,196 subscribers12 August 2026 — 10,207 subscribers14 August 2026 — 10,208 subscribers15 August 2026 — 10,217 subscribers16 August 2026 — 10,228 subscribers18 August 2026 — 10,231 subscribers19 August 2026 — 10,232 subscribers20 August 2026 — 10,245 subscribers21 August 2026 — 10,228 subscribers23 August 2026 — 10,251 subscribers25 August 2026 — 10,249 subscribers26 August 2026 — 10,251 subscribers29 August 2026 — 10,274 subscribers29 August 2026 — 10,276 subscribers31 August 2026 — 10,275 subscribers1 September 2026 — 10,278 subscribers2 September 2026 — 10,280 subscribers3 September 2026 — 10,285 subscribers5 September 2026 — 10,293 subscribers8 September 2026 — 10,294 subscribers11 September 2026 — 10,301 subscribers12 September 2026 — 10,299 subscribers14 September 2026 — 10,296 subscribers16 September 2026 — 10,295 subscribers18 September 2026 — 10,297 subscribers29 September 2026 — 10,349 subscribers5 October 2026 — 10,353 subscribers9 October 2026 — 10,354 subscribers13 October 2026 — 10,370 subscribers14 October 2026 — 10,375 subscribers16 October 2026 — 10,377 subscribers17 October 2026 — 10,380 subscribers18 October 2026 — 10,384 subscribers19 October 2026 — 10,390 subscribers21 October 2026 — 10,399 subscribers23 October 2026 — 10,404 subscribers24 October 2026 — 10,402 subscribers25 October 2026 — 10,404 subscribers26 October 2026 — 10,397 subscribers27 October 2026 — 10,402 subscribers28 October 2026 — 10,399 subscribers29 October 2026 — 10,401 subscribers30 October 2026 — 10,394 subscribers31 October 2026 — 10,383 subscribers1 November 2026 — 10,379 subscribers2 November 2026 — 10,378 subscribers3 November 2026 — 10,382 subscribers4 November 2026 — 10,383 subscribers5 November 2026 — 10,380 subscribers10,3806 August 20265 November 2026
55 measurements spanning 91 days, net +208. 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 10,137–10,439 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)SubscribersChange
5 Nov 2026, 16:1710,380-3
4 Nov 2026, 17:1010,383+1
3 Nov 2026, 14:2610,382+4
2 Nov 2026, 13:2710,378-1
1 Nov 2026, 10:5010,379-4
31 Oct 2026, 12:3510,383-11
30 Oct 2026, 15:2910,394-7
29 Oct 2026, 13:5810,401+2
28 Oct 2026, 10:0910,399-3
27 Oct 2026, 11:5710,402+5
26 Oct 2026, 11:3010,397-7
25 Oct 2026, 13:4410,404+2
24 Oct 2026, 15:4010,402-2
23 Oct 2026, 13:4510,404+5
21 Oct 2026, 02:1910,399+9
19 Oct 2026, 00:5810,390+6
18 Oct 2026, 01:2010,384+4
17 Oct 2026, 03:5710,380+3
16 Oct 2026, 01:2610,377+2
14 Oct 2026, 23:4110,375first reading

Engagement

23 posts held, back to 24 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 44 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
41.2%
avg views ÷ 10,380 subscribers
Avg views / post
4,280
2 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
2
of 23 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 8 October 2026
Posts held23 (24 May 2025 – 8 October 2026)
Views total8,560
Reactions total196
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 08:47 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
144
Videos
38
Links
211

Lifetime counters from Telegram’s own channel header, read 6 November 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.

Video runtime
5h 54m
Average length
59m 09s

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.

Reaction mix

3,371 reactions across 22 posts, in 20 distinct kinds. The most used accounts for 41.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,38841.2%
❤1,00229.7%
👍46413.8%
❤‍🔥882.61%
😭882.61%
custom 5449599833973203438832.46%
🎉812.40%
👌621.84%
custom 5429484908693191019210.623%
🕊200.593%
✍150.445%
🥰140.415%
😁100.297%
😱100.297%
👏80.237%
⚡70.208%
💔40.119%
🤗30.089%
🤩20.059%
😎10.03%

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 are Telegram’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 22 of the 23 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 3,371 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 24 May 2025 to 8 October 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 2 posts held from the last 30 days (100.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

8 Oct 2026, 07:10 UTC≈3,480 views69 reactionsread 6 November 2026
File

IT-направление — часто незаметны, но критически важны Мы встретились с руководителем направления «IT» Вадимом Затуловским (Sync) и разузнали чем они занимаются, что ожидается 2 января и кого прямо сейчас очень ждут в команде. 🎓 Приятного просмотра! 00:00 — Приветствие 00:12 — О направлении 01:05 — Проблемы 02:23 — Задачи в работе 03:23 — Система «ЛАра» 05:24 — Планы 07:05 — IT-решения 09:55 — Сроки 11:16 — Продук…

👍40❤18🔥8🤗3

8 Oct 2026, 07:02 UTC≈5,080 views127 reactionsread 6 November 2026
Video

IT-направление — часто незаметны, но критически важны (аудио версия в этом посте) Мы встретились с руководителем направления «IT» Вадимом Затуловским (Sync) и разузнали чем они занимаются, что ожидается 2 января и кого прямо сейчас очень ждут в команде. 🎓 Приятного просмотра! 00:00 — Приветствие 00:12 — О направлении 01:05 — Проблемы 02:23 — Задачи в работе 03:23 — Система «ЛАра» 05:24 — Планы 07:05 — IT-решения …

🔥64❤53👍7⚡3

12 Sept 2026, 07:57 UTC≈6,700 views96 reactionsread 6 November 2026

🎓 Учат в школе (и не только): делимся анонсом предстоящих лекций Сентябрь — месяц, богатый не только на поисковые мероприятия, но и на встречи в рамках «Лектория». Мы возвращаемся к активной работе и с нетерпением ждем новых встреч с вами! 💬 На очереди сразу два спикера: — руководитель направления «Новичковая» Анна Будовая (Нюра) с лекцией о том, почему обучение добровольцев — это важно и нужно; — руководитель напр…

👍34❤‍🔥28❤19🔥10😁3🥰2

3 May 2026, 19:25 UTC≈15,100 views278 reactionsread 6 November 2026
Photo

🐻 «Что за вой доносится с болот?» и другие вопросы об уникальной экосистеме Друзья, мы решили попробовать новый формат наших с вами встреч. Теперь они будут в виде публикаций уже записанных лекций. 💬 Первый спикер — Григорий Куксин, который прочитает лекцию про болота. В комментариях мы очень ждем ваши вопросы по этой теме. Вопросы мы озвучим Григорию во время записи, а позже вы сможете увидеть ответы на них при …

🔥197❤50❤‍🔥14🕊12🥰4😱1

24 Feb 2026, 18:36 UTC≈17,400 views111 reactionsread 6 November 2026
Photo

Набор в группу просмотра и анализа — 19-й поток обучения Группа просмотра и анализа (ГПА) — часть направления «Беспилотная авиация» отряда «ЛизаАлерт», которая просматривает снимки, сделанные операторами коптеров на задачах. Специалисты ищут на них пропавшего или связанные с ним предметы (одежду, корзину и подобное). Группа одна на всю Россию, поэтому круглосуточная работа обеспечивается за счёт добровольцев из раз…

🔥70❤33👍7🤩1

16 Feb 2026, 16:46 UTC≈13,300 views470 reactionsread 6 November 2026
Video

Лекторию «ЛизаАлерт»🟧лет! Сегодня наш проект отмечает первый юбилей! Эти годы пролетели незаметно, но оставили за собой десятки часов полезного контента и бесчисленное количество новых знаний. Мы говорим спасибо всем, кто ежедневно вкладывает свои силы, время и душу в развитие проекта. Каждый вносит неоценимый вклад — будь то спикер, передающий знания и опыт, инженер, отвечающий за качество трансляций, редактор, го…

❤217🔥120🎉81👍32custom 544959983397320343811👏4❤‍🔥3⚡2

6 Dec 2025, 15:35 UTC≈18,800 views252 reactionsread 6 November 2026
Photo

ОТКРЫТ НАБОР НА КУРС ОБУЧЕНИЯ ОТ НАПРАВЛЕНИЯ «ЛЕС НА СВЯЗИ»! Темы на форуме: https://lizaalert.org/forum/viewtopic.php?t=363684 Здесь вы найдете все подробности и даты обучения. Анкета на курс: https://forms.yandex.ru/cloud/692c226ff47e732d11da349c Пожалуйста, прочитайте внимательно КАЖДЫЙ пункт. Мы никогда, вообще ни-ког-да не знаем, что на том конце телефона. Вводные обманчивы. Здоровый молодой мужчина может ока…

🔥157❤78👍9🕊4😭3👌1

6 Oct 2025, 09:20 UTC≈24,900 views142 reactionsread 6 November 2026
Video

🤚«Осторожно, мошенники!» 29 августа состоялась встреча с информационным координатором отряда «ЛизаАлерт» Ольгой (позывной «Весна») на тему пропаж людей из-за мошенников. На встрече обсудили основные вопросы: как уберечь себя и близких, как распознать злодея и многие другие. Не смогли присутствовать на встрече? Ничего страшного, для вас мы подготовили запись эфира с тайм-кодами. 01:48 — Кто может стать жертвой моше…

❤63🔥46✍15👍12custom 54495998339732034386

25 Sept 2025, 07:59 UTC≈21,600 views120 reactionsread 6 November 2026
Photo

Набор в группу просмотра и анализа — 18-й поток обучения Группа просмотра и анализа (ГПА) — часть направления «Беспилотная авиация» отряда «ЛизаАлерт», которая просматривает снимки, сделанные операторами коптеров на задачах, и ищет на них пропавшего или связанные с ним предметы (одежду, корзину и подобное). Вам в команду ГПА, если хотите: • помогать отряду из дома в удобном режиме; • развивать усидчивость, которой …

🔥73❤28👍18🥰1

16 Sept 2025, 16:40 UTC≈16,800 views159 reactionsread 6 November 2026

Друзья, к сожалению обстоятельства сильнее нас. Мы вынуждены перенести сегодняшний эфир из-за технических неполадок. Следите за анонсами!

😭83👌34❤22👍12❤‍🔥8

16 Sept 2025, 16:00 UTC≈16,500 views46 reactionsread 6 November 2026

Друзья, по техническим причинам начало эфира задерживается на 15-20 минут. Спасибо за понимание. UPD: Еще 10 минут, начинаем ориентирочно в 19:30. Спасибо, что ждёте!🧡

👌25❤17👍4

16 Sept 2025, 13:05 UTC≈17,100 views44 reactionsread 6 November 2026
Photo

Эфир «Островок безопасности» уже сегодня в 19:00 Вместе с Ниной Маньковской (позывной «Фисташка»), специалистом центра реагирования, поговорим о проекте. Она расскажет об особенностях работы «Островка» и ответит на ваши вопросы. 📍 Где: 📼 Кинескоп 📺 ВК-видео ✈ Telegram 🖤 YouTube 📹 Запись: будет ⬅️ Задавайте вопросы в комментариях и делитесь анонсом о встрече в поисковых чатах. Наши эфиры носят информационно-ознак…

🔥29❤12⚡2🤩1

Showing the 12 most recent of 23 posts we hold for @la_lektoryi. 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.

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 3 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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Лекторий «ЛизаАлерт»” (@la_lektoryi), 10,380 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/la_lektoryi.

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.