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Channel

лилия • книги, ты и я

@millashlilis

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

7,275subscribers

-195 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001183176309
TypeChannel
Username@millashlilis
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/millashlilis

Growth

7,2757,4897,3826 August 2026 — 7,470 subscribers7 August 2026 — 7,466 subscribers10 August 2026 — 7,489 subscribers12 August 2026 — 7,456 subscribers16 August 2026 — 7,419 subscribers19 August 2026 — 7,385 subscribers23 August 2026 — 7,335 subscribers26 August 2026 — 7,319 subscribers28 August 2026 — 7,303 subscribers31 August 2026 — 7,304 subscribers4 September 2026 — 7,275 subscribers6 August 20264 September 2026
11 measurements spanning 28 days, net -195. 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 7,243–7,521 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 05:207,275-29
31 Aug 2026, 14:247,304+1
28 Aug 2026, 19:467,303-16
26 Aug 2026, 05:447,319-16
23 Aug 2026, 14:357,335-50
19 Aug 2026, 16:027,385-34
16 Aug 2026, 14:057,419-37
12 Aug 2026, 16:377,456-33
10 Aug 2026, 02:027,489+23
7 Aug 2026, 10:027,466-4
6 Aug 2026, 22:167,470first reading

Engagement

15 posts held, back to 28 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 15 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.63%
avg views ÷ 7,275 subscribers
Avg views / post
700
9 posts measured
Reaction rate
17.7%
reactions ÷ views · ER floor
Posts in window
9
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 19 August 2026
Posts held15 (28 July 202619 August 2026)
Views total6,303
Reactions total1,113
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 11:25 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

Video runtime
12s
Average length
12s

Measured directly from 1 video 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

1,910 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 40.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 526261557658860746676840.2%
custom 528538388971443917360031.4%
custom 528741615227478952154228.4%

Custom emoji. Every row above is a 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 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 1,910 reactions 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 28 July 2026 to 19 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 15 we hold a reading for · 13%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @millashlilis. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 15 most recent posts we hold for this entry, published 28 July 2026 to 19 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

19 Aug 2026, 16:52 UTC231 views90 reactions1 Starread 20 August 2026
Photo

«Институт» С. Кинг моя оценка: 4,5/5 #тридцатьтрикниги #прочитанное 🌟🌟🌟🌟 Стивен Кинг – один из моих любимых писателей. практически каждую книгу, которую я брала читать, меня заинтересовала. он как никто другой умеет интриговать, держать в напряжении до самого конца. «Институт» не стал исключением, книга понравилась! сюжет романа разворачивается вокруг двенадцатилетнего Люка Эллиса. жизнь главного героя рушится в о

custom 526261557658860746636custom 528741615227478952132custom 528538388971443917322

16 Aug 2026, 11:16 UTC475 views102 reactionsread 20 August 2026
Photo

🤍🤍✨ ° оформила новый разворот с бумагой для коллажей от «волшебство внутри». листочки с клубничкой и черешней выглядят так по-летнему! самое то, чтобы украшать странички блокнота в последние недели августа. приобрести можно тут: вк и сайт✨

custom 526261557658860746646custom 528741615227478952134custom 528538388971443917322

15 Aug 2026, 19:34 UTC525 views124 reactionsread 20 August 2026
Photo

🤩🎀 то чувство, когда выходной и хочется уделить время всем своим любимым хобби.

custom 526261557658860746654custom 528741615227478952142custom 528538388971443917328

15 Aug 2026, 13:17 UTC554 views146 reactionsread 20 August 2026

🤩🤩🤩 давайте каждый 🤩🤩🤩 в комментариях поделиться названием любимой книги. я начну: «проект "Аве Мария"» Э. Вейера. прочитала в феврале этого года без особых ожиданий, а в итоге она меня очень тронула.

custom 528538388971443917358custom 526261557658860746647custom 528741615227478952141

13 Aug 2026, 17:38 UTC671 views132 reactionsread 20 August 2026
Photo

новинки🐭🦃🔦на моих полочках 🤍японская анимация книга — путешествие по истории японской анимации и студии «Гибли», а главное — по творческому пути двух великих режиссеров. Анна Голда рассказывает, как формировались методы работы Хаяо Миядзаки и Исао Такахаты, из каких изобразительных, мифологических и философских источников выросли их произведения. 🤍как читать книги эта книга, ставшая настоящей классикой, рассказывает

custom 528538388971443917351custom 528741615227478952146custom 526261557658860746635

12 Aug 2026, 09:23 UTC709 views111 reactionsread 20 August 2026
Photo

будь для себя безопасным местом. местом, куда всегда можно вернуться. волшебство внутри 🎀

custom 526261557658860746650custom 528538388971443917336custom 528741615227478952125

9 Aug 2026, 18:04 UTC910 views140 reactions1 Starread 20 August 2026
Photo

🖇✍ 🤩 завернуться в плед, приглушëный свет, спокойный вечер, электронная книга.

custom 526261557658860746669custom 528741615227478952140custom 528538388971443917331

9 Aug 2026, 15:05 UTC868 views109 reactionsread 20 August 2026
Photo

🤍🤩🌟представьте, что вы внезапно оказались внутри вселенной той книги, которую сейчас читаете. хотели бы вместе с героями пережить приключения? при всей моей безграничной любви к творчеству Кинга, его миры — это последнее место, где я хотела бы оказаться. он пишет настолько жутко, что от одного страха душа уходит в пятки, и шансов выжить у меня там просто не было бы.

custom 526261557658860746655custom 528538388971443917329custom 528741615227478952125

7 Aug 2026, 15:00 UTC≈1,360 views159 reactionsread 20 August 2026
Photo

дарим 1200 руб на книги 📚 Победитель: 1. Lin (@angffwk) проверить результаты

custom 526261557658860746683custom 528538388971443917339custom 528741615227478952137

7 Aug 2026, 10:45 UTC975 views117 reactionsread 20 August 2026
Photo

🖇️🤍 с 6 по 9 августа на сайте МИФа скидка 50% на всё. без промокодов и секретных слов, чтобы каждый читатель мог найти историю по душе. скорее за покупками! #ДеньМифолюба вот так сейчас выглядит моя коллекция книг издательства МИФ. делитесь и вы комментариях.

custom 528538388971443917351custom 526261557658860746635custom 528741615227478952131

6 Aug 2026, 18:55 UTC765 views131 reactionsread 18 August 2026
Photo

🤍🤍° всë ещё провожу время с Стивеном Кингом и его книгой «Институт». очень мало уделяю сейчас чтение, адаптируюсь к графику работы 2/2😭 стараюсь находить хотя бы часочек для чтения, но в рабочие дни хочется просто лечь и спать, спать, спать... сейчас я ещё не дошла до середины книги, но атмосфера определëно нравится! сюжет закручивается с первых 50 страниц. главный герой просыпается вроде бы в своей комнате, а потом

custom 526261557658860746655custom 528741615227478952143custom 528538388971443917333

4 Aug 2026, 13:04 UTC659 views133 reactionsread 12 August 2026
Photo

☕️🤍❤️ книги, которые выйдут в серии «вечные истории». часто заглядываю на канала издательства, чтобы посмотреть новинки. как всегда, очень красивые обложки!

custom 528538388971443917365custom 526261557658860746635custom 528741615227478952133

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

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@millashlilis edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
18 August 2026
Most recent edit
18 August 2026

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 4 September 2026 — this entry's latest reading, not the date you are reading this.

“лилия • книги, ты и я” (@millashlilis), 7,275 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/millashlilis.

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.