C ДНЁМ РОЖДЕНИЯ ❤️ 28 лет ❤️
❤62

Channel
@DianaPushkova
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
30,394subscribers
-632 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001486013666 |
|---|---|
| Type | Channel |
| Username | @DianaPushkova |
| Description | Блог парикмахера про уход за волосами! Полезные посты в закрепе! https://gosuslugi.ru/snet/67c986f6d0f339346a66d238 |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/DianaPushkova |
Ecommerce storefront — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 10:41 | 30,394 | +69 |
| 15 Sept 2026, 12:01 | 30,325 | +7 |
| 13 Sept 2026, 18:00 | 30,318 | +48 |
| 11 Sept 2026, 21:39 | 30,270 | +24 |
| 9 Sept 2026, 12:15 | 30,246 | -95 |
| 6 Sept 2026, 06:38 | 30,341 | -58 |
| 4 Sept 2026, 03:55 | 30,399 | -50 |
| 2 Sept 2026, 16:44 | 30,449 | -42 |
| 1 Sept 2026, 12:32 | 30,491 | -16 |
| 31 Aug 2026, 12:55 | 30,507 | -42 |
| 30 Aug 2026, 10:13 | 30,549 | -23 |
| 29 Aug 2026, 07:02 | 30,572 | -35 |
| 28 Aug 2026, 07:49 | 30,607 | -22 |
| 27 Aug 2026, 06:38 | 30,629 | -23 |
| 26 Aug 2026, 04:54 | 30,652 | -26 |
| 25 Aug 2026, 06:51 | 30,678 | -23 |
| 24 Aug 2026, 04:58 | 30,701 | -39 |
| 22 Aug 2026, 10:24 | 30,740 | -33 |
| 21 Aug 2026, 00:03 | 30,773 | -34 |
| 19 Aug 2026, 22:08 | 30,807 | first reading |
191 posts held, back to 5 August 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 68 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. It is computed over the 91 of 96 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 191 (5 August 2026 – 22 September 2026) |
| Views total | 100,087 |
| Reactions total | 1,703 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 00:18 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 23 September 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 42 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.
3,195 reactions across 184 posts, in 6 distinct kinds. The most used accounts for 85.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,723 | 85.2% | |
| 👍 | 175 | 5.48% | |
| 💔 | 109 | 3.41% | |
| 👏 | 108 | 3.38% | |
| 🥰 | 58 | 1.82% | |
| 😍 | 22 | 0.689% |
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 185 of the 191 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 3,195 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 191 most recent posts we hold, published 5 August 2026 to 22 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.
C ДНЁМ РОЖДЕНИЯ ❤️ 28 лет ❤️
❤62
Я год назад пообещала себе изменить свою жизнь и … Что произошло за этот год? Я экспериментировала с образами, училась составам, выпустили 2 новых средства DiCare, купили дом мечты и много-много чего еще Кажется, получилось ❤️
👏27❤18
‼️‼️‼️ У меня НЕТ рекламы в блоге ‼️‼️‼️ Практически каждый день мне приходят разные рекламные предложения. И иногда бренды готовы платить ОЧЕНЬ хорошие деньги Дополнительные 100–200 тысяч за рекламу — это прекрасный доход и, конечно, периодически я думаю: «Диана, могла бы ипотеку побыстрее закрыть» 😄 Но рекламы здесь всё равно нет. И причина очень простая — я не хочу заключать сделку с собственной совестью Недав…
❤22👍6👏2💔1😍1
ЕЩЁ 2 СПОСОБА, КАК Я ИСПОЛЬЗУЮ ЛИПИДНЫЙ ФИЛЛЕР 💛 Филлер — это концентрат активов. Его можно использовать действительно в разных вариациях, так как это абсолютно универсальный продукт, самое главное НЕ перебрщить! ✔️ время выдержки 3-15 минут ✔️ можно добавить в любое своё средство для волос,как усилитель ухода ✔️можно использовать сразу на волосы ✔️ а можно заранее смешать в мисочке (это самый хороший вариант) 1️⃣…
❤20😍2👍1🥰1
Девочки , филлер - это наркотик! Не знаю как остановить себя и не использовать каждое мытье 😢😢 хочу постоянно такие волосы
❤9
Вчера забрала филлер - в последний вагон)) как бывший консультант по проф уходам скажу, что цена = качество 100%
Липидный филлер DiCare — SOLD OUT 🥹💛 Вы разобрали всю текущую партию филлера! Сейчас на нашем складе осталось последние 500 штук — в течение ближайших нескольких недель будем постепенно выгружать их на Ozon А дальше всё 😭 Следующая партия будет только в январе Поэтому для тех, кто уже успел купить филлер или только ждёт последние остатки на Ozon, я решила собрать ВСЕ ПОСТЫ О ФИЛЛЕРЕ В ОДНОМ ПОСТЕ 👇🏻 🔺 Как правил…
❤8👍1
Обзор на средства DiCare 😱 Я честно говоря была в шоке, увидев такой обзор на наш бренд! Просто честный обзор от специалиста ❤️ в современном мире такое встречается крайне редко Посмотрите, там разбор кому надо/кому нет/кому подходят Липидный филлер сейчас в наличии на вб 💛
❤27👍5
Тестирую сухой шампунь K18 за 5.000₽ 🥲 Я была УВЕРЕНА, что сниму ролик с его разоблачением и скажу: «ну за что здесь такие деньги?» 😂 Но что-то пошло не по плану… Теперь, кажется, нам придётся идти к нашим технологам и создавать свой сухой шампунь 😄 Почему я так резко поменяла мнение и какой получила результат — смотрите в ролике 👆🏻
❤33👍2
Диана, у меня никак не отправляется сообщение в директ Инстаграмма, я там целую поэму написала😂 Я в восторге от филлера. Отдельный восторг - это аромат🥰 Волосы просто лоск, блеск, гладкость и они невероятно мягкие, это то, что я отметила на своих некрашеных натуральных волосах.
❤13👍1
У меня такой результат до/после филлера Надеюсь на накопительный эффект 🙏🏻
❤8
Мой любимый уход для волос на данный момент, то, что дает реально эффект волос после салона - филлер DiCare Когда Диана, основательница бренда, предложила создать такой продукт, я сразу сказала, что не уверена в том, что получится, но давайте попробуем. И это не потому, что мы что-то не умеем, а потому что Диана не готова соглашаться на меньшее. Я понимала, что надо будет ввести очень много активов, сделать продукт,…
❤18👏1
Showing the 12 most recent of 191 posts we hold for @DianaPushkova. 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.
@DianaPushkova 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 7 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Парикмахер вещает @push_dish” (@DianaPushkova), 30,394 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/DianaPushkova.
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.