Я все еще с вами)))
🔥23👏5❤4👍1

Channel
@stylist_olgaK
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
17,650subscribers
-104 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001585728546 |
|---|---|
| Type | Channel |
| Username | @stylist_olgaK |
| Description | Делаю женщин стильнее, моложе, стройнее с помощью своей флагманской программы «Преображение»✨ • Мне 60 лет, из них 35 лет в моде • Более 1000 женщин преобразились • Преобразила Президента 🇰🇿 Связь со мной @Kate01 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/stylist_olgaK |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 75% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 02:18 | 17,650 | -5 |
| 5 Nov 2026, 04:05 | 17,655 | -5 |
| 4 Nov 2026, 05:17 | 17,660 | -6 |
| 3 Nov 2026, 04:56 | 17,666 | -9 |
| 2 Nov 2026, 04:58 | 17,675 | -12 |
| 1 Nov 2026, 06:36 | 17,687 | +9 |
| 31 Oct 2026, 03:50 | 17,678 | +1 |
| 30 Oct 2026, 00:16 | 17,677 | +23 |
| 29 Oct 2026, 03:07 | 17,654 | +77 |
| 28 Oct 2026, 00:10 | 17,577 | -4 |
| 27 Oct 2026, 00:39 | 17,581 | -6 |
| 26 Oct 2026, 01:40 | 17,587 | +12 |
| 24 Oct 2026, 22:59 | 17,575 | +11 |
| 24 Oct 2026, 00:38 | 17,564 | +3 |
| 23 Oct 2026, 00:15 | 17,561 | -17 |
| 21 Oct 2026, 22:28 | 17,578 | -11 |
| 20 Oct 2026, 15:15 | 17,589 | +6 |
| 19 Oct 2026, 16:46 | 17,583 | -5 |
| 18 Oct 2026, 14:41 | 17,588 | +32 |
| 17 Oct 2026, 11:56 | 17,556 | first reading |
28 posts held, back to 23 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 53 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 1 November 2026 |
|---|---|
| Posts held | 28 (23 July 2026 – 1 November 2026) |
| Views total | 7,642 |
| Reactions total | 234 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 16:02 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.
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 8 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.
1,048 reactions across 28 posts, in 10 distinct kinds. The most used accounts for 42.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 449 | 42.8% | |
| ❤ | 293 | 28.0% | |
| 👍 | 278 | 26.5% | |
| 👏 | 19 | 1.81% | |
| 😍 | 2 | 0.191% | |
| 🤝 | 2 | 0.191% | |
| 🥰 | 2 | 0.191% | |
| ❤🔥 | 1 | 0.095% | |
| 😈 | 1 | 0.095% | |
| 😐 | 1 | 0.095% |
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 28 of the 28 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 1,048 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 23 July 2026 to 1 November 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’s own ‘edited’ marker: 0 of 8 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Я все еще с вами)))
🔥23👏5❤4👍1
И все еще пользуюсь полученными знаниями)
🔥10❤4👏1
Еще отзывы участниц ПРЕОБРАЖЕНИЯ ❤️ ПОСЛЕДНИЕ 24 ЧАСА, ЧТОБЫ ПОПАСТЬ НА ПРОГРАММУ! 💔 Мы не знаем когда будет следующая и будет ли. Успевайте! 😍😍😍Программу можно посмотреть на сайте: https://ok-stylist.kz/ И там можно оставить заявку, чтобы проконсультироваться с администратором школы и узнать все условия, если например, вам необходима рассрочка. Также вы можете написать в Службу Заботы: @zabota_stylist
🔥12👏4❤3👍1
Мы раньше с вами поднимали тему фоток! Полюбить фотографироваться можно только ПОСЛЕ того как вы полюбите себя ❗️❤️ Делиться своими фотками ДО программы открыто в канале может только женщина ПРИНЯВШАЯ СЕБЯ и свою женскую суть 🔥 Аплодисменты !!! 👏 И это не моя заслуга. Я всего лишь Ваш проводник! На фото ученица программы ПРЕОБРАЖЕНИЕ
🔥21❤5👏4👍1😍1
«50-ти летие меня очень триггерило» 💔 Вы посмотрите на эту шикарную женщину после программы! Конечно муж смотрит более свежим взглядом. И отношения играют новыми красками 🔥🔥🔥 а как иначе! Правильно подчеркнули природные данные! Расчистили гардероб! Научились выбирать вещи. И сразу хочется фотографироваться вновь 🙏🏻❤️ Обнимаю вас девочки! Спасибо за отзывы и доверие!
🔥24❤3👍2❤🔥1
ЕЛЕНА ОРЛЕНКО 51 год Рост 168, вес 78 кг Есть сын . Севастополь. 🥲 Всю свою жизнь я одевалась просто. Мои наряды состояли из пары футболок и скини, нескольких платьев. Но мне всегда хотелось выглядеть стильно и красиво. Я стала искать возможность этому научиться. Программа "Преображение" по методу Ольги Крюковой помогла мне раскрыться. Я нашла свой СТИЛЬ. Он и есть отражение моего внутреннего мира. Я научилась гл…
🔥27❤4🥰1
НАТАЛЬЯ РЕБОНЕН 43 года Рост 152 см, Вес 90 кг Параметры: 116-96-125 Вологодская область Двое детей 🥰 После прохождения программы Преображение по методу Ольги Крюковой я вышла из серой массы, стала заметной, деловой, стильной, статной 🤩 Мой запрос исполнился на все 💯 📌Если вы считаете себя серой мышкой, но достойной намного большего: внимания, уважения, хотите быть стильной, заметной, шикарной 🔥женщиной - вы в нуж…
🔥24❤4
МАРЖАН 60 лет ПРАБАБУШКА 👵 Один случай перевернул многое в моей жизни… Как-то выезжая с подругой на отдых, в аэропорту мое внимание привлекла одна женщина, не похожая на других, потому что отличалась от многих своей статью, осанкой, образом и «дорогим лицом». Я с восторгом смотрела на нее, подруга заметив мое волнение сказала, так это же Ольга Крюкова она занимается чем-то связанным с модой. Желание мое было отправ…
🔥31❤9👏3😍1
Video, posted without a caption
🔥30👍15❤7
Отдельно хочется остановиться на костюме, мне понравился его силуэт, красивый темно - синий цвет как альтернатива черному и тот факт, что его можно носить в разной стилизации: под более спортивные варианты поло, топы футболки. А если предпочитаете более классический вариант, то надеваем под костюм белую рубашку. Подробнее про выбор рубашки в этом видео👇🏻
🔥25👍8❤7
Привет, дорогие ✨ Сегодня последний день лета — пора подумать о гардеробе для более холодных дней. Что мне понравилось в Befree? 2 часть обзора • Лонгсливы - необходимость на холодный сезон. Понравился лонгслив в нежно розовом цвете. Такой оттенок смотрится свежо и будет идеально подходить под светлые низы. • Бомбер - универсальная вещь. Сейчас в моде укороченные модели, расслабленный оверсайз. Befree использует…
👍23🔥13
Заглянула недавно в Befree — и знаете, задержалась там дольше, чем планировала. Есть вещи, которые действительно заслуживают места в гардеробе. Собрала для вас небольшой обзор — что понравилось мне Идём смотреть вместе? 👇 часть 1
🔥37👍26❤9
Showing the 12 most recent of 28 posts we hold for @stylist_olgaK. 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.
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.
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.
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Стильная женщина с Ольгой Крюковой” (@stylist_olgaK), 17,650 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/stylist_olgaK.
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.