Telegram RegisterThe public register of Telegram

Channel

You must remember this

@youmustremember

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

261subscribers

-1 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-1001992797195
TypeChannel
Username@youmustremember
CreatedBetween 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/youmustremember

Growth

261262261.56 August 2026 — 262 subscribers7 August 2026 — 262 subscribers13 August 2026 — 261 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, 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 261–262 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 00:26261-1
7 Aug 2026, 01:02262no change
6 Aug 2026, 05:35262first reading

Engagement

11 posts held, back to 11 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
68.5%
avg views ÷ 261 subscribers
Avg views / post
179
5 posts measured
Reaction rate
13.3%
reactions ÷ views · ER floor
Posts in window
5
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 28 July 2026
Posts held11 (11 June 202628 July 2026)
Views total894
Reactions total119
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 01:02 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

283 reactions across 11 posts, in 15 distinct kinds. The most used accounts for 56.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15956.2%
🔥6723.7%
💋144.95%
👏134.59%
😍124.24%
👍51.77%
😁41.41%
🙏20.707%
🍾10.353%
🎉10.353%
💔10.353%
😈10.353%
🤔10.353%
🤯10.353%
🥰10.353%

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 283reactions 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 11 June 2026 to 28 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.

Recent posts

28 Jul 2026, 12:38 UTC114 views14 reactionsread 7 August 2026

На досуге популяризирую изучение магии. Книга Сперанского была написана в начале ХХ в. на огромном этнографическом материале. Затем на много десятилетий позабыта — пока не возник интерес к магии как социальной практике и не выяснилось, что есть такие скрытые жемчужины. Читается как роман, детектив и триллер, и все еще научная работа. Наконец-то есть в продаже — в новой прекрасной серии "Азбуки" (следите за ней, скор

🔥104

Signed Aleksandra Pakhomova

28 Jul 2026, 12:38 UTC108 views11 reactionsread 7 August 2026
Forwarded from @rozacetkinPhoto

Тут должна звучать заглавная тема из сериала Мастер и Маргарита, но вы и так все поняли. Призывание демонов, похищение младенцев, полеты на шабаш — веками народная фантазия рисовала страшные картины ведьмовских деяний. В XV веке был опубликован знаменитый «Молот ведьм» — подробное руководство, как вычислить ведьму и что с ней потом делать, и таких руководств было немало. Наиболее жестокие и кровавые процессы, в ходе

7🔥4

Signed Aleksandra Pakhomova

24 Jul 2026, 13:49 UTC191 views11 reactionsread 7 August 2026
Photo

#музыка, которая настоялась Думаю: что же в последнее время так хорошо слушается дебютная пластинка Фионы Эппл “Tidal”? Оказалось, это потому, что на днях ей исполнилось 30 лет. Значит, настоялась, не потеряв в качестве. Хотя я больше люблю поздние альбомы Эппл, Tidal слушается, как стакан холодной воды в жару: это ровная и мощная работа, сильная и вокально, и музыкально. Какая красота происходит на заднем плане в

6🔥5

Signed Aleksandra Pakhomova

17 Jul 2026, 09:51 UTC261 views49 reactionsread 7 August 2026
Photo

Помните ли вы свою первую написанную работу? Стихотворение, эссе, текст, доклад? А помните ли вы — вопрос к ученым — с каких тем вы начинали? Я, например, начинала как исследователь севернорусских палок, им был посвящен мой первый в жизни доклад и первая в жизни научная работа. В 2012 году я, студентка первого курса, впервые оказалась в фольклорной экспедиции. По традиции студенты пишут полевые отчеты, и я выбрала

32🔥13👍3🎉1

Signed Aleksandra Pakhomova

15 Jul 2026, 14:48 UTC220 views34 reactionsread 7 August 2026
Photo

Предаюсь изысканному летнему занятию — навещаю героев своих статей и книг. Красненькое кладбище совсем недалеко от моего дома, поэтому ничего не оставалось делать, как закрыть ноутбук, надеть джинсы, купить у метро три «кладбищенские» гвоздики и пойти навестить двух художников и одного поэта. Могила Роальда Мандельштама (как известно, в русской литературе не один Мандельштам, а минимум три) расположена в самой глуб

20🔥8👍2🍾1💔1😈1🙏1

Signed Aleksandra Pakhomova

27 Jun 2026, 17:48 UTC329 views24 reactionsread 7 August 2026
Photo

У всех есть такое гилти плеже, где guilty как бы и нет, зато pleasure — море! Коллекция Элия Белютина и Нины Молевой — мой гиперфикс уже пару лет. Периодически он обостряется: обычно это совпадает с новым витком расследования в соцсетях Софьи Багдасаровой. В чем дело? Еще при жизни известного художника Элия Белютина и его жены, искусствоведки Нины Молевой, ходили слухи о их потрясающей коллекции живописи старых мас

18🔥3😁3

Signed Aleksandra Pakhomova

25 Jun 2026, 10:05 UTC264 views26 reactionsread 7 August 2026

"Непрошеный пришелец" летал-летал, да и залетел в длинный список премии "Просветитель", номинация "Биография". И рядом с кем оказался!

😍12💋8🔥51

Signed Aleksandra Pakhomova

25 Jun 2026, 10:05 UTC243 views43 reactionsread 7 August 2026
Forwarded from @p_prosvetitelPhoto

⚡️ Длинный список спецноминации «Биография» Основной список сезона дополняют шесть биографических работ, которые жюри будет отдельно оценивать в рамках спецноминации «Биография»: 📕 Александр Архангельский* «Пушкин. Книга про всё» @vidimbooks 📕 Наталья Громова «Евгений Шварц. Судьба Cказочника в эпоху Дракона» ISIA Media Verlag / @ilimbakh 📕 Лев Данилкин «Палаццо Мадамы: воображаемый музей Ирины Антоновой» @alpina

27👏10💋6

Signed Aleksandra Pakhomova

21 Jun 2026, 14:15 UTC365 views30 reactionsread 7 August 2026

Моя плавающая идентичность филолога/антрополога/фольклориста завела меня на "Коммерсантъ.Weekend" — рассказывать про солнцестояние. Сегодня в 11 утра начался самый длинный день в году. Не забудьте, пожалуйста, выполнить все ритуалы. Как иначе-то. https://www.myweekend.ru/doc/8741291#id3140244

18🔥9👏3

Signed Aleksandra Pakhomova

12 Jun 2026, 09:08 UTC490 views30 reactionsread 7 August 2026
Photo

Первые три сезона сериала "Улицы разбитых фонарей" — и культурный прецедент, и моя любовь. Их я смотрела с отцом в детстве, и с тех пор это идеальное комфортное зрелище. Нет такой усталости, которую бы не вылечили "менты". Подозреваю, что именно они сыграли свою роль в моей любви к Петербургу, но доказать это не могу. Пересматривая их в очередной раз, впервые вгляделась в то, что остается на фоне. Серый, поникший и

18🔥8🤔1🤯1🥰1😁1

Signed Aleksandra Pakhomova

11 Jun 2026, 15:55 UTC352 views11 reactionsread 7 August 2026
Forwarded from @euspbPhoto

⚡️ Новый выпуск подкаста Школы искусств! Как поэты серебряного века пиарились в первое десятилетие Советской власти Разговор о том, чем стали заниматься в 1920-е годы Михаил Кузмин и Вадим Шершеневич — и что между ними общего. 😱 Участники: Екатерина Косова (выпускница магистратуры Школы искусств и культурного наследия ЕУСПб) и Александра Пахомова (выпускница факультета антропологии ЕУСПб и старший преподаватель НИ

8🔥2🙏1

Signed Aleksandra Pakhomova

Showing the 11 most recent of 11 posts we hold for @youmustremember. 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 — 882,009 of 1,169,250entries 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 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“You must remember this” (@youmustremember), 261 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/youmustremember.

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.