Telegram RegisterThe public register of Telegram

Channel

лаборатория mag

@wlagmag

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

733subscribers

+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-1002976725251
TypeChannel
Username@wlagmag
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/wlagmag

Growth

730733731.56 August 2026 — 730 subscribers6 August 2026 — 730 subscribers13 August 2026 — 733 subscribers6 August 202613 August 2026
3 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 730–733 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 05:17733+3
6 Aug 2026, 16:13730no change
6 Aug 2026, 03:06730first reading

Engagement

12 posts held, back to 16 July 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
110.8%
avg views ÷ 733 subscribers
Avg views / post
812
10 posts measured
Reaction rate
3.55%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 held12 (16 July 20266 August 2026)
Views total8,118
Reactions total288
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 16:13 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

288 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 63.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥18263.2%
🔥8529.5%
🕊144.86%
💔31.04%
20.694%
💅10.347%
🤬10.347%

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 10 of the 12 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 288reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 16 July 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.

Recent posts

6 Aug 2026, 13:38 UTC186 views22 reactionsread 6 August 2026
Photo

Полуторачасовой разбор рассказа Маргарет Этвуд от Светы Лукьяновой и участниц воркшопа «Сильный рассказ» уже на Boosty 🤩 Смотреть

🔥22

1 Aug 2026, 13:44 UTC544 views25 reactionsread 6 August 2026
Photo

Работницам техподдержки тоже нужна поддержка Публикуем рассказ Хани Рогачёвской «Beast regards», живой и немного магический. Прошел в финал опен-колла «Соединительная ткань», отборщицей которого выступила писательница Дарья Трайден. Ханя Рогачёвская — писательница, стендаперка, коллажистка, ведёт канал «несуществующая жужелица». Рассказ «Beast regards» вошёл в роман «Самолётами летают только посылки» — о взрослении

❤‍🔥14🔥7💔3💅1

31 Jul 2026, 13:07 UTC695 views33 reactionsread 6 August 2026
Photo

Обсудили странное 🦋➕ Окей ли любить Лавкрафта, с чем мы ассоциируем вирд, как сделать фестиваль и сборник рассказов на приколе и взаимоподдержке, а также — роскошный эксклюзив о планах вирд-сообщества во WLAG! Запись встречи в открытом доступе. 💻 Смотреть на Boosty

❤‍🔥22🔥11

28 Jul 2026, 14:24 UTC559 views62 reactionsread 6 August 2026
Photo

Финн пришел рассказать, что нам прислали 57 флэш-фикшнов на благотворительный опен-колл! Скоро вернемся с математикой и результатами 🦴 Фото из архива Нины Горской

❤‍🔥47🔥122🤬1

26 Jul 2026, 11:16 UTC≈1,160 views35 reactionsread 6 August 2026
Photo

Осталось 2️⃣ дня, чтобы отправить текст на опен-колл «Собака в тексте»! Все вырученные от опен-колла средства пойдут подопечным московского приюта «Дубовая роща» (@friends_4_row). Кому именно — показываем и рассказываем в карточках 🐶 ⬆️Подробности ⬆️Отправить текст

🕊14❤‍🔥12🔥9

24 Jul 2026, 11:47 UTC658 views25 reactionsread 6 August 2026
Photo

💌 … и книга Ани Фёдоровой «35 июля. Но это не точно» отправляется авторке канала «В контексте текста» Татьяне Ильёвой! Спасибо всем принявшим участие в флешмобе #мойлюбимыйавтофикшн. Понравилось ли вам писать под хештегом? Будем повторять? Фото: Книжный магазин Пархоменко

❤‍🔥25

23 Jul 2026, 11:52 UTC539 views12 reactionsread 6 August 2026

Финальная перекличка! Завтра выберем авторку поста из флешмоба #мойлюбимыйавтофикшн, которой отправится вышедшая из предзаказа книга «35 июля. Но это не точно» Ани Фёдоровой. Кто не успели, кидайте ссылку в комментарии под оригинальным постом 🤩

❤‍🔥12

22 Jul 2026, 10:32 UTC≈1,470 views19 reactionsread 6 August 2026
Photo

Прямо сейчас можно подать заявку на осенние смены индивидуальных писательских резиденций в «Переделкино»: открыт прием на 5-26 октября и 26 ноября-16 декабря 2026 года. Чтобы облегчить процесс сбора документов и прохождения собеседования в любую резиденцию, советуем обратиться к нашему Boosty, где собраны лайфхаки Альфии Бабий, писательницы, соосновательницы журнала «Природа» и резидентки «Переделкино». 🤩Часть 1: К

🔥19

20 Jul 2026, 14:56 UTC767 views31 reactionsread 6 August 2026
Photo

Не взяли — и ладно! Публикуем «Продавцы четырёх времён года» Юлианы Кошкиной — о наследстве «кочерыжников», которое передается героине через печень, осанку и носогубные складки. Рассказ выиграл в нашем опен-колле «Не взяли»: мы просили присылать тексты, которым уже отказали в публикации (этот, например, не взяли в журнал «Незнание»). Юлиана Кошкина — сценарист кино, писательница, поэт, основательница сценарных онла

❤‍🔥26🔥5

16 Jul 2026, 10:39 UTC≈1,540 views24 reactionsread 6 August 2026
Photo

Публикуем фрагмент дебютного автофикшна Ольги Григорьевой Maternity leave Героиня Оли живет в Москве, работает в офисе, читает книги. Узнав о беременности, она пристально следит за изменениями в собственном теле и фиксирует ощущения на каждом этапе роста ребенка. Но параллельно с подготовкой к новой роли — матери — она сталкивается с болезнью в семье, которая меняет привычный ход вещей. Оля Григорьева — кураторка ш

❤‍🔥24

Showing the 12 most recent of 12 posts we hold for @wlagmag. 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 — 13,238 of 1,183,361entries 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

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 15 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“лаборатория mag” (@wlagmag), 733 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/wlagmag.

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.