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Channel

Ирина Лобашова | уроки макияжа | честно о составах косметики

@lobashovamakeup

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

1,856subscribers

+53 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001526178608
TypeChannel
Username@lobashovamakeup
Created25 February 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live18 August 2026
Measurements held5
Confirmed unchanged2 times, most recently 18 August 2026
On Telegramt.me/lobashovamakeup

Growth

1,8021,8561,8297 August 2026 — 1,803 subscribers7 August 2026 — 1,803 subscribers8 August 2026 — 1,802 subscribers11 August 2026 — 1,804 subscribers14 August 2026 — 1,856 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net +53. 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 1,794–1,864 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 16:031,856+52
11 Aug 2026, 09:431,804+2
8 Aug 2026, 04:051,802-1
7 Aug 2026, 15:471,803no change
7 Aug 2026, 13:531,803first reading

Engagement

11 posts held, back to 8 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
17.9%
avg views ÷ 1,856 subscribers
Avg views / post
332
7 posts measured
Reaction rate
7.57%
reactions ÷ views · ER floor
Posts in window
7
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 4 August 2026
Posts held11 (8 July 20264 August 2026)
Views total2,325
Reactions total176
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 15:47 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
2m 10s
Average length
43s

Measured directly from 3 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

247 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 74.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18574.9%
🔥2911.7%
👍239.31%
💋41.62%
🤩31.21%
💘20.81%
💯10.405%

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 247reactions 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 8 July 2026 to 4 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

4 Aug 2026, 16:16 UTC221 views11 reactionsread 7 August 2026

Девочки, привет! У меня к Вам просьба. Сейчас я вместе с командой готовлю первый образовательный продукт, хочу понимать потребности каждой. Если у Вас есть возможность потратить 15-20 минут на короткий созвон с моей командой, то напишите, пожалуйста комментарий под постом или в личку! Созвон анонимный, мы не будем нигде выкладывать результаты. 🎁 Для тех, кто сможет, приятные бонусы, в том числе: РАННИЙ И БЕСПЛАТ

11

4 Aug 2026, 16:12 UTC211 views4 reactionsread 7 August 2026
Video message

Video message, posted without a caption

👍4

29 Jul 2026, 16:05 UTC373 views22 reactionsread 7 August 2026
Video

❤️ любимые продукты бренда PMKL Какой бренд разобрать в следующий раз?

22

28 Jul 2026, 16:50 UTC374 views19 reactionsread 7 August 2026
Video message

Video message, posted without a caption

17💘2

28 Jul 2026, 12:45 UTC368 views16 reactionsread 7 August 2026
Photo

💦 ЭТИ БЛЕСКИ ОМОЛАЖИВАЮТ ГУБЫ Омоложение в блеске идёт в первую очередь за счёт пептидного комплекса 💉 Пептиды - это короткие цепочки аминокислот, которые дают коже сигнал вырабатывать собственный коллаген и эластин, поэтому губы становятся плотнее, глаже и естественно объёмнее без утяжеления. В формуле собраны четыре пептида: Palmitoyl Tripeptide-38 запускает синтез коллагена и других белков плотности, разглажив

👍16

26 Jul 2026, 07:02 UTC350 views44 reactionsread 7 August 2026
Photo

КАК ВЫБРАТЬ ФОРМУ РЕТИНОЛА? Под словом «ретинол» на упаковках прячется целое семейство веществ, и по силе они очень разные. Проще всего представить их как ступеньки одной лестницы: попадая в кожу, формы по очереди превращаются друг в друга, пока не дойдут до рабочей, активной формы, то есть до ретиноевой кислоты. Эфиры ретинола (Retinyl Palmitate, Retinyl Acetate, Retinyl Propionate) → Ретинол (Retinol) → Ретиналь

34💋4👍3🤩3

24 Jul 2026, 17:00 UTC428 views60 reactionsread 7 August 2026
Photo

РЕТИНОЛ ПО ПОЛОЧКАМ. как он работает, что выбрать и почему? (Ирина Александровна за 2 дня проглотила новую книжку, теперь делюсь с Вами). Ретинол это самый изученный антивозрастной ингредиент, его исследования в косметологии и косметической химии проводятся с 1960-х годов. Разбираю простым языком: как он работает внутри кожи, какие бывают формы, чем еда отличается от крема, а крем от аптечного лекарства. 1. Как р

54🔥5💯1

18 Jul 2026, 11:07 UTC577 views19 reactionsread 7 August 2026
Photo

Девочки, это роскошь! Помада Dear Dahlia - просто роскошь на губах!

19

18 Jul 2026, 11:01 UTC497 views8 reactionsread 7 August 2026
Video message

Video message, posted without a caption

8

13 Jul 2026, 15:30 UTC643 views20 reactionsread 7 August 2026
Photo

🔥 Почему макияж «плывёт» в жару? Спойлер: дело не в тебе, а в химии. 13 июля выходит новое видео — разбираю 5 главных причин, почему макияж не держится летом, и что с этим делать. Что разберём: ✓ Что реально происходит с кожей при +30°C ✓ Почему SPF под макияж может его же и разрушать ✓ Как выбрать SPF, который не жирнит ✓ Тональный крем «для лета с защитой» — маркетинг или реальность? ✓ Как убрать эффект «слоён

20

8 Jul 2026, 18:15 UTC676 views24 reactionsread 7 August 2026
Photo

Если бы я хотела научиться делать макияжа с нуля, я бы точно посмотрела: ЗАБУДЬ ПРО ТОНАЛЬНЫЙ КРЕМ: ЭТОТ СПОСОБ ДЕЛАЕТ КОЖУ ИДЕАЛЬНОЙ ИДЕАЛЬНЫЕ ГУБЫ ЗА 5 МИНУТ: Секреты увеличения и стойкости КАК КРАСИТЬ ГЛАЗА ПРАВИЛЬНО? Разбор ошибок + фишки визажиста КОНТУРИНГ ЗА 5 МИНУТ ДЛЯ НАЧИНАЮЩИХ? Как сделать скулы выше? Секреты легкого макияжа для лица! КАК НАНОСИТЬ И РАСТУШЕВЫВАТЬ ТЕНИ | ЛУЧШИЕ ПАЛЕТКИ БЮДЖЕТ И ЛЮКС

🔥24

Showing the 11 most recent of 11 posts we hold for @lobashovamakeup. 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 — 938,137 of 1,481,306entries 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.

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

“Ирина Лобашова | уроки макияжа | честно о составах косметики” (@lobashovamakeup), 1,856 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/lobashovamakeup.

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.