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Вся наша жизнь

@liondandewine

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

231subscribers

+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-1003217264224
TypeChannel
Username@liondandewine
DescriptionМашина для счастья должна умещаться в кармане! Вдохновение в историях. Дарим книги каждую неделю🌟
CreatedBetween 1 October 2025 and 31 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held2
On Telegramt.me/liondandewine

Growth

2316 Aug 2026, 18:33 — 231 subscribers7 Aug 2026, 02:48 — 231 subscribers6 Aug 2026, 18:337 Aug 2026, 02:48
2 measurements taken within a single day. 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 230–232 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 02:48231no change
6 Aug 2026, 18:33231first reading

Engagement

19 posts held, back to 25 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
27.9%
avg views ÷ 231 subscribers
Avg views / post
64.5
6 posts measured
Reaction rate
4.65%
reactions ÷ views · ER floor
Posts in window
7
of 19 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 31 July 2026
Posts held19 (25 June 202631 July 2026)
Views total387
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 02:48 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
162
Videos
24
Links
108

Lifetime counters from Telegram’s own channel header, read 7 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

77 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 32.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤩2532.5%
🔥1519.5%
👏79.09%
🕊67.79%
💯56.49%
❤‍🔥45.19%
🎉45.19%
😁45.19%
👍33.90%
🙏33.90%
11.30%

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 16 of the 19 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 77reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 25 June 2026 to 31 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

31 Jul 2026, 17:39 UTC39 views3 reactionsread 7 August 2026
Photo

ЭКЗАМЕНЫ НА ЮРФАКЕ: ХИТРЫЕ ШПАРГАЛКИ И МОНАСТЫРСКИЕ НОЧИ Готовиться к экзаменам в 90-е было целым искусством. На первых курсах студентам создали все условия, чтобы быстро «вылететь», поэтому первые два года — время максимальной дисциплины, сидения в библиотеке и подготовки к семинарам. Но готовились по-своему. Шпаргалки-гирлянды Татьяна Н. вспоминает: «Мы с Наташей Л. сдавали историю политических и правовых учени

🔥1🤩1🙏1

28 Jul 2026, 13:20 UTC63 views4 reactionsread 7 August 2026
Photo

О РОМАНАХ И РИСКАХ Помимо магазина с алкоголем, на территории университета находилось и отделение милиции – туда попадали все, кому не везло выпить свою порцию горячительного раньше, чем нарушителя замечал патруль. Процедура была стандартной: сержант оформлял протокол, затем отпускал студента и выдавал обратно недопитые бутылки. Девушек, по свидетельствам старожилов, никогда не забирали, поэтому они частенько стоял

👏2🤩1😁1

25 Jul 2026, 09:54 UTC77 views4 reactionsread 7 August 2026
Photo

О ПРАЗДНИКАХ 90-е Главной приметой студенческой вольницы 1990-х годов была свободная продажа алкоголя. Более того, спиртное можно было легально купить в нескольких точках прямо на территории университета. Так, ничем, кроме самого факта своего существования, не примечательный продуктовый магазин – в народе «стекляшка», или «сельпо», – стал настоящей алкогольной Меккой для большинства обитателей Ленинских гор. В пере

🤩3😁1

22 Jul 2026, 14:48 UTC68 views3 reactionsread 7 August 2026
Photo

МАЖОРЫ И ВСЕ ОСТАЛЬНЫЕ: о социальном расслоении среди студентов На юрфаке МГУ было намешано столько разных людей, что это создавало потрясающее впечатление разнообразия мира. Дети дипломатов, партийных боссов и «новых русских» – и те, кто приехал с рабочих окраин. «Потом, в еще более сильном виде, я столкнулся с этим в Штатах. Например, на четвертом курсе у нас была военная кафедра, и один мальчик прямо на плац, гд

💯1🕊1🤩1

21 Jul 2026, 15:03 UTC68 views1 reactionsread 7 August 2026

🎉 Результаты розыгрыша: 🏆 Победитель: 1. Nastya Lastochkina (@amartlet) ✔️Проверить результаты Скоро отправим вам книгу!

🤩1

20 Jul 2026, 12:02 UTC72 views3 reactionsread 7 August 2026
Photo

5 удивительных историй из «сачка» 1️⃣ Как-то раз студент юрфака Дмитрий притащил в «сачок» огромную сумку домашних книг и устроил распродажу по 15–20 рублей (в киосках книги стоили по 200–300). Продавцы книжного ларька, который располагался неподалёку, вызвали «крышу» с битой. Тогда студенты подарили уборщице два томика с подписью «от автора», и она шваброй выгнала обидчиков из здания. 2️⃣В день сдачи экзамена по а

❤‍🔥2🤩1

16 Jul 2026, 16:52 UTC96 views6 reactionsread 7 August 2026
Photo

АЛЬТЕРНАТИВА САЧКУ: ГЛАВНОЕ УБЕЖИЩЕ ПЕРВОКУРСНИКОВ Если «сачок» был территорией свободы и хаоса, то библиотека – местом выживания. Особенно на первых курсах. В 90-е на юрфаке МГУ студентов с первого дня готовили к тому, что вылететь можно быстро. Дисциплина, конспекты, зубрёжка законов – всё это отсеивало слабых. Но готовились не в одиночку. Часто студенты собирались не только в библиотеке, но и дома у тех, у кого

🔥2🤩2🎉1🕊1

15 Jul 2026, 08:29 UTC94 views5 reactionsread 7 August 2026
Photo

«ВОЛШЕБНЫЙ САЧОК» ТЕПЕРЬ НА ЛИТРЕС! 🎉 Книга, которую мы так долго ждали, наконец-то вышла в электронном формате. «Сачкодром», студенты МГУ, 90-е, первые миллионы, уроки жизни и та самая стиральная машинка – все эти удивительные истории теперь можно читать на Литрес.📱 И, кстати, про бумажную книгу! Она есть в «Фаланстере» на Тверской👈🏻 ✨

🔥2❤‍🔥1🎉1👏1

13 Jul 2026, 17:17 UTC97 views4 reactionsread 7 August 2026
Photo

Квартира была большая… и с чёрным ходом Главная высотка МГУ на Воробьёвых горах – 32 этажа, проект Иофана и Руднева, 1953 год. В центре – факультеты. По бокам, в башнях – общежития и квартиры профессоров и преподавателей. В одной из этих 12-этажных башен жила (и до сих пор живет) семья Натальи – в 1993–1998 годах студентки юридического факультета. «Квартира была большая, с высокими потолками и огромными окнами, а

🕊2🤩2

10 Jul 2026, 16:57 UTC92 views4 reactionsread 7 August 2026
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САЧОК: ГЛАВНОЕ МЕСТО МГУ В 90-Е Здесь пили портвейн, играли на гитаре, заводили романы, строили планы на мировое господство и учились бизнесу по-русски. «Сачкодром» – так называли место, где собирались студенты со всех курсов всех гуманитарных факультетов для того, что в академическом лексиконе преподавателей называлось «неформальным общением». «В 1994 году мы переезжали с дачи в московскую квартиру и у нас скопил

🤩3🔥1

8 Jul 2026, 07:51 UTC94 views6 reactionsread 7 August 2026
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«ДЕНЬГИ БЫЛИ, А ПОТОМ ИХ НЕ СТАЛО» Лето 1998 года. Нефть падает до $11 за баррель. 17 августа — технический дефолт. Рубль рухнул в три раза: с 6 до 21 рубля за доллар. Банки лопаются. Предприятия закрываются. Миллионы людей теряют всё. Один студент юрфака, Константин, только-только устроился в международную фирму. Пробивался без связей, обивал пороги. В налоговой над ним посмеялись — им нужны были «свои». А в между

💯4🔥1🕊1

Showing the 12 most recent of 19 posts we hold for @liondandewine. 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 — 359,838 of 1,548,671entries 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 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.

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

“Вся наша жизнь” (@liondandewine), 231 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/liondandewine.

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.