29 measurements spanning 33 days, net +3,724. 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 26,928–33,711 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
9 Sept 2026, 10:56
32,928
+1,271
6 Sept 2026, 00:40
31,657
-181
3 Sept 2026, 20:16
31,838
+722
2 Sept 2026, 08:44
31,116
+15
1 Sept 2026, 10:56
31,101
-156
31 Aug 2026, 10:16
31,257
+328
30 Aug 2026, 12:44
30,929
+574
29 Aug 2026, 13:28
30,355
+1,433
28 Aug 2026, 12:07
28,922
+803
27 Aug 2026, 12:33
28,119
+216
26 Aug 2026, 11:54
27,903
-51
25 Aug 2026, 14:52
27,954
-128
24 Aug 2026, 14:38
28,082
-108
22 Aug 2026, 21:17
28,190
-22
21 Aug 2026, 12:46
28,212
-64
20 Aug 2026, 10:43
28,276
-245
19 Aug 2026, 08:23
28,521
-323
18 Aug 2026, 08:12
28,844
+645
17 Aug 2026, 11:06
28,199
+488
15 Aug 2026, 20:12
27,711
first reading
Engagement
33 posts held, back to 27 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 65 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.0%
avg views ÷ 32,928 subscribers
Avg views / post
6,270
22 posts measured
Reaction rate
4.89%
reactions ÷ views · ER floor
Posts in window
22
of 33 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
Window
Rolling 30 days · latest post in window 7 September 2026
Posts held
33 (27 July 2026 – 7 September 2026)
Views total
137,890
Reactions total
6,742
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Sept 2026, 13:12 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
1m 29s
Average length
18s
Measured directly from 5 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
10,033 reactions across 33 posts, in 9 distinct kinds. The most used accounts for 33.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,358
33.5%
❤🔥
2,304
23.0%
🔥
1,730
17.2%
🥰
1,338
13.3%
🎉
1,251
12.5%
💘
26
0.259%
😍
17
0.169%
🍓
7
0.07%
👍
2
0.02%
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 33 of the 33 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 10,033 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 27 July 2026 to 7 September 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.
Выходной photo dump ✨
Гуляли с мужем по торговому центру в нашем любимом городе Брянске
— Заглянула в ЛЭТУАЛЬ за любимыми средствами, которые закончились в последнее время
Также посмотрела новую осеннюю коллекцию в некоторых магазинах, и даже ушла с покупками! Делюсь?
ДОРОГИЕ❤️ МЫ РЕШИЛИ ВАС ПОРАДОВАТЬ🥳🥳🥳
БУДЕМ ДАРИТЬ ДЕНЕЖКИ ЗА ПОДПИСКУ И АКТИВ💸💸
БУДЕТ МНОГО ПОБЕДИТЕЛЕЙ❤️
СКОРЕЕ ПЕРЕХОДИ НА РОЗЫГРЫШНЫЙ КАНАЛ👇👇
https://t.me/+uZBYCVNIEzszMzEy
Одна минутка и ты в деле☘
Кажется, у Solzao снова получилось нас удивить 🥹
Их гели для душа мы уже давно любим, а теперь у бренда появились новинки для ухода за телом
— Сахарные скрабы для тела, после использования кожа становится гладкой и мягкой
— Кремы для тела, имеют приятный аромат, увлажняют и делают кожу очень приятной на ощупь
А если использовать продукты в комбо скраб + крем — получается тот самый вау эффект 🤌🏻
My skincare routine 🤍
Сейчас часто пользуюсь крем-ластиком от бренда MISSHA
[ Покупала в ЛЭТУАЛЬ ]
🤎 Нравится, что он осветляет пигментные пятна, повышает упругость кожи и придает красивое сияние
Крем быстро впитывается, буквально через 5 минут уже можно наносить макияж
А каким уходом сейчас пользуетесь вы?
Делитесь в комментариях!
👜 Тем временем, в магазинах одежды появилась осенняя коллекция
Вчера ходила на шоппинг в Zolla, делюсь с вами самыми классными позициями!
Очень много верхней одежды по приятной стоимости, в актуальных оттенках, советую заглянуть, если вы сейчас в поисках!
Ну, а я не смогла уйти без покупки, забрала с собой две футболки с 4 фото — они просто идеальные 🤎
Если нужны артикулы на какие-либо позиции, пишите в комментар…
🤎🤎🤎 Многие спрашивают, как 🤎🤎🤎 я подготавливаю кожу к 🤎🤎🤎 нанесению макияжа
Делюсь!
Нашла для себя идеальный вариант для увлажнения кожи — эссенция с экстрактом матчи от бренда Dr.Ceuracle
Удобный формат для меня: невесомая текстура, быстро впитывается и не оставляет ощущение липкости
Кто сейчас в поисках идеального продукта для увлажнения кожи, советую присмотреться!
🤎 Покупала на AskMask
Как я обожаю парфюм с нотами граната в аромате ❤️
Именно такой был найден у Faberlic — «Mur Mur Rouge»
Полные ноты аромата:
— Верхние ноты: яблоко Редлав, красный апельсин, анемон.
— Ноты сердца: гранат, клубничный джем, ройбуш, астра.
— Шлейф: взбитые сливки, мускатный орех, кедр.
Невероятно стойкий и приятный парфюм, пользуюсь на постоянной основе и рекомендую всем своим подружкам 🤌🏻
Все уже видели тренд «Milky toner hack»? 🪷
Я придумала, как сделать такой макияж еще проще!
Использовать мист вместо обычного тонера: просто пшикаем себе на лицо и продукты растушевываются гораздо мягче и легче
Я использую мист для сияния от бренда Pestlo
[ Покупала на AskMask ]
Он классно увлажняет кожу и делает тот самый популярный эффект glass skin 🤌🏻
И все благодаря одному продукту, представляете?
Обязательн…
📸 Лучшая находка месяца — определенно эта!
Впервые попробовала жидкий утюг и очень удивилась: теперь не нужно в спешке утром гладить вещи
👉🏻 Достаточно всего несколько пшиков жидким утюгом от Faberlic, и вещь перестает быть мятой
И самое приятное, что такой баночки хватит надолго 🧺
[ Любимый аромат этого лета ]
Muschio Bianco — моя любимая линейка от бренда Tesori d’Oriente с тем самым ароматом чистоты 🧺
Таким кондиционером для белья я пользуюсь круглый год, это уже 10-й по счету — настолько он мне нравится!
А вы знакомы с брендом?
Какая линейка нравится больше всего?
🍒🍒🍒 Какие же роскошные
🍒🍒🍒 продукты у бренда
🍒🍒🍒 Gosposha Beauty
Больше всего покорили ароматы блесков для губ: карамель и клубника
Оттенок «Горячая брюнетка» явно стал моим фаворитом, буду добавлять во все lip-combo!
Также попробовала мист с блестками с ароматом арбуза — прям по-летнему, очень понравился ❤️
Showing the 12 most recent of 33 posts we hold for @makdearup. 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.
Posts edited after publishing
@makdearup edited 2 posts 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
25 August 2026
Most recent edit
27 August 2026
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 5 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Ни дня без бьюти @nodaywithoutbeauty · 30,233 Telegram ranks this channel #29 of 72 here — alongside 71 others — read 7 September 2026
𝐌𝐨𝐧𝐧𝐚 𝐋𝐢𝐬𝐚 @monnalisaaaaaa · 47,326 Telegram ranks this channel #30 of 64 here — alongside 63 others — read 25 August 2026
🌀 Переходник 🌀 @larakrasnikova_style · 470 Telegram ranks this channel #42 of 73 here — alongside 72 others — read 6 September 2026
просто юля @yyulias4 · 30,919 Telegram ranks this channel #51 of 77 here — alongside 76 others — read 6 September 2026
SOFIA 💌 @sofia_molz · 49,914 Telegram ranks this channel #54 of 82 here — alongside 81 others — read 25 August 2026
Чаю налить?☕️ @pourmeteea · 52,236 Telegram ranks this channel #55 of 66 here — alongside 65 others — read 31 August 2026
Твоя подруга красоты @leya_leyaaa · 30,832 Telegram ranks this channel #76 of 80 here — alongside 79 others — read 6 September 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Настя мейкапит” (@makdearup), 32,928 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/makdearup.
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.