Personal blog — 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 99% 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.
Growth
46 measurements spanning 77 days, net +1,862. 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 31,236–34,310 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)
Subscribers
Change
22 Oct 2026, 06:27
33,955
+40
21 Oct 2026, 02:40
33,915
+82
20 Oct 2026, 00:26
33,833
-15
19 Oct 2026, 01:00
33,848
+27
17 Oct 2026, 23:46
33,821
-12
17 Oct 2026, 01:48
33,833
+23
16 Oct 2026, 01:30
33,810
+50
15 Oct 2026, 02:10
33,760
+6
13 Oct 2026, 21:09
33,754
-18
10 Oct 2026, 10:00
33,772
-8
6 Oct 2026, 08:59
33,780
-32
1 Oct 2026, 10:16
33,812
+74
18 Sept 2026, 10:58
33,738
+91
16 Sept 2026, 00:40
33,647
-5
14 Sept 2026, 04:21
33,652
-16
12 Sept 2026, 08:36
33,668
+961
10 Sept 2026, 05:56
32,707
+1,116
7 Sept 2026, 00:58
31,591
-36
4 Sept 2026, 11:58
31,627
-52
2 Sept 2026, 23:08
31,679
first reading
Engagement
37 posts held, back to 20 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 129 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.5%
avg views ÷ 33,955 subscribers
Avg views / post
9,320
19 posts measured
Reaction rate
5.09%
reactions ÷ views · ER floor
Posts in window
19
of 37 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 22 October 2026
Posts held
37 (20 July 2026 – 22 October 2026)
Views total
177,100
Reactions total
9,011
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Oct 2026, 12:12 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
Photos
≈1,630
Videos
≈271
Links
≈82
Lifetime counters from Telegram’s own channel header, read 22 October 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.
Video runtime
8m 34s
Average length
47s
Measured directly from 11 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
17,672 reactions across 37 posts, in 19 distinct kinds. The most used accounts for 76.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
13,423
76.0%
🥰
1,405
7.95%
❤🔥
1,076
6.09%
🔥
739
4.18%
💋
347
1.96%
🤣
154
0.871%
😍
142
0.804%
😁
81
0.458%
👍
76
0.43%
😡
61
0.345%
😢
45
0.255%
😭
37
0.209%
💔
26
0.147%
💯
17
0.096%
👏
16
0.091%
😇
13
0.074%
🤪
6
0.034%
🤩
5
0.028%
😈
3
0.017%
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 37 of the 37 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 17,672 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 20 July 2026 to 22 October 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
104
across the posts below
Posts paid on
20
of 37 we hold a reading for · 54%
Most on one post
12
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AMinekaeva. 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 37 most recent posts we hold for this entry, published 20 July 2026 to 22 October 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.
Осенние обновки ☕️🍫
Честное слово,просто забегала за ватными дисками в ближайший рив гош у дома и увидела его-Midnight Espresso By Kilian.
Стоит такой красивый…и манит…🥹
Kilian конечно молодцы, какой раз уже подкупают меня, падкую на красоту🔥
Но ладно, я на самом деле уже давно не брала новых ароматов из-за токсикоза и гормонов..щас все немного подуспокоилось и захотелось чего-то вкусненького..
В этом аромате чу…
Кто я такая, чтобы вам не показать…💅
Гель-лаком ногти уже давно не покрываю , и это связано только с тем, что мне лень..это отнимает очень много времени..
Поэтому крашу дома сама обычными лаками:
1. Самый любимый лак-тинт vimbio, оттенок «watermelon ice”, я его на озон по-моему заказывала, вот как раз вопрос выше был про этот лак
У него такой стиль японского маника..нравится очень!
2. Супер блестящий лак от Sephora…
Пришел заказ корейских радостей🐇✨
Из того, что заказываю повторно:
🤩 сияющий тинт - очень нравится текстура , красивый натуральный оттенок и увлажнение, держится вечность
🤩 ночная маска-пленка для лица- в составе мой любимый витамин С, который улучшает тон кожи
🤩 набор миниатюр glow trio- тонер, сыворотка и крем, в этот раз взяла в тревел формате, чтобы брать с собой в сумочке
Заказала в Hey, Babes 🤩
Уехали в пятницу ,возвращаемся во вторник👩🌾
Есть ощущение,что скоро мы просто переедем в дом))
Оттуда правда не хочется возвращаться , нет никакой суеты,я даже не знаю ,где лежит мой телефон все эти дни…🤟
Топили баню, даже Василису сводили , дышали травами, ели шашлыки и маршмелки, смотрели фильмы до ночи и спали до обеда 🤟
А щас едем в Москву , работать накопившуюся за эти дни работу 😕
Девчонки, если у вас есть этот молочный тонер Dual Barrier от @celimax_cis , а у вас он точно есть 💅очень советую попробовать данный способ контурирования 🤌
Сегодня пятница, а значит мы едем на дачу👩🌾
Сходила закупила немного уходовых баночек, чтобы и там было чем пользоваться))
Для зоны вокруг глаз:
❤️Многофункциональный крем от Erborian
Для лица:
❤️Дневной крем с пептидами от Vichy
Для тела:
❤️Укрепляющий крем Resveratrol–Lift от Caudalie
❤️Солевой скраб Франжипани-Монои от Elemis
Хороших выходных! 👩🌾❤️
И по поводу подготовки..сразу скажу..
Мы в этот день были на даче , и мне вообще неожиданно пришел тест на почту, я сразу же ломанулась к Рузилю 🚶♀, говорю ПРИШЕЛ ! 🤗Конечно мы не смогли бы ждать , поэтому решили прям на месте узнать..
Вариантов у нас на даче было не особо много , первое , что пришло в голову- плоскогубцы и цветок 🫠 да, очень оригинально..
Возможно, мы бы хотя бы как-то поприличнее оделись, но та…
гендер пати 🎉
для тех, кого нет в инсте!
почему-то в этот раз никто из близких не угадал, только Рэмиль ещё до беременности сказал, кто у нас будет🧠
и я чувствовала⏳ хотя по всем признакам была девочка🐸
пол мы кстати узнали не по узи в этот раз..а сдали кровь на определение ещё на 10 неделе.
Как же мы любим спать 🤩
Рэм весь в папу , он может спать сколько угодно, пока не разбудишь, и если будить-не факт,что проснется, а я и не бужу и сама отсыпаюсь🧠
Спим мы до обеда каждый день (только не отписывайтесь, пожалуйста 😂) правда и ложимся поздно..я вообще под утро только засыпаю , но это уже просто режим выработался..не могу уснуть , пока не доделаю все дела на свете и не полистаю рилсики🤩
Кайфовать мне о…
Ну всё, началось…🥹🌟
Первая распаковка для малыша и я пустила слезу от умиления…снова испытала это приятное чувство…конечно оно пропадет,как только он родится🤭но пока грех не воспользоваться гормонами и не умиляться🥲
Комплект для выписки motherbear 🤩
Теперь все выходные мы проводим в лесу🎄 🏕
4 дня тишины и уединения от суеты…
Ну конечно пока суеты дофига , потому что работы там выше крыши 😕но мы уже поняли, что на даче работа не закончится никогда))
Зато, начали немного обживать и с каждым днём в доме становится уютнее. Остались детали: довесить шторы, выбрать ковры…💸но мне это так нравится всё. Вчера вот например вешали шторы до половины четвертого ночи🤗 и это…
Девчачий сбор! 💅
Таааааак мне понравилась эта сыворотка для ресниц и бровей…добавила её сейчас в уход, так как во время беременности хорошо растут волосы, решила заняться этим делом серьезно💅
Это если что снова корейцы придумали..ну конечно…..
Вообще,чудес не ждала, но заметила, что сыворотка работает 🤌 нравится что ресницы и брови стали гуще
еще у нее кстати какая-то нереально удобная щеточка, вот я думаю как за…
❤194🔥22🥰15❤🔥3💋3😍2😡1
Showing the 12 most recent of 37 posts we hold for @AMinekaeva. 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.
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.
Mentions
Named by 2 registered channels — 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 6 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.
РУЗИЛЬ МИНЕКАЕВ @real_ruzil · 157,713 Telegram ranks this channel #1 of 64 here — alongside 63 others — read 12 August 2026
Юлия Пересильд @juliaperesild_tg · 20,982 Telegram ranks this channel #7 of 57 here — alongside 56 others — read 24 September 2026
ЕЛИЗАВЕТА БАЗЫКИНА aka Bazykina @bazykinae · 65,791 Telegram ranks this channel #10 of 67 here — alongside 66 others — read 21 August 2026
Отец Русского Гуманизма @skopeykin · 106,881 Telegram ranks this channel #13 of 69 here — alongside 68 others — read 9 September 2026
Лев Зулькарнаев @zullev · 50,639 Telegram ranks this channel #17 of 67 here — alongside 66 others — read 25 August 2026
Wink @WinkRussia · 71,276 Telegram ranks this channel #24 of 78 here — alongside 77 others — read 20 August 2026
Anka Peresild @officialannaperesild · 179,846 Telegram ranks this channel #26 of 57 here — alongside 56 others — read 11 August 2026
Ярослав Могильников @yage_mudriy · 52,484 Telegram ranks this channel #31 of 62 here — alongside 61 others — read 24 August 2026
ЛЕОН КЕМСТАЧ @iminlovewleo · 142,673 Telegram ranks this channel #31 of 61 here — alongside 60 others — read 13 August 2026
Андрей Максимов @andreymaksimof · 26,429 Telegram ranks this channel #32 of 68 here — alongside 67 others — read 11 September 2026
S_kurtova_ @Skurtova25 · 28,910 Telegram ranks this channel #42 of 56 here — alongside 55 others — read 11 September 2026
Торнике Квитатиани @tokorocko · 21,724 Telegram ranks this channel #45 of 68 here — alongside 67 others — read 21 September 2026
Никита Кологривый @nik_kologrivyy · 36,348 Telegram ranks this channel #48 of 75 here — alongside 74 others — read 1 September 2026
This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 22 October 2026 — this
entry's latest reading, not the date you are reading this.
“Aziza” (@AMinekaeva), 33,955 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/AMinekaeva.
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.