Вот почему не стоит идеализировать что-то 😅 Небольшое видео с похода в бутик АР в Шанхае 👄 обитаю сейчас в основном в ВК, так что подписывайтесь~
❤87😁6

Channel
@sashalis_blog
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,483subscribers
-164 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001787799543 |
|---|---|
| Type | Channel |
| Username | @sashalis_blog |
| Created | 26 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/sashalis_blog |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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 |
|---|---|---|
| 18 Sept 2026, 02:37 | 9,483 | +5 |
| 13 Sept 2026, 12:59 | 9,478 | -20 |
| 9 Sept 2026, 13:01 | 9,498 | -21 |
| 4 Sept 2026, 02:16 | 9,519 | -18 |
| 1 Sept 2026, 00:44 | 9,537 | -8 |
| 28 Aug 2026, 20:24 | 9,545 | -14 |
| 25 Aug 2026, 20:46 | 9,559 | -16 |
| 23 Aug 2026, 00:14 | 9,575 | -1 |
| 19 Aug 2026, 03:44 | 9,576 | -25 |
| 15 Aug 2026, 20:24 | 9,601 | -20 |
| 12 Aug 2026, 01:35 | 9,621 | -18 |
| 9 Aug 2026, 05:01 | 9,639 | -8 |
| 6 Aug 2026, 10:16 | 9,647 | no change |
| 6 Aug 2026, 09:46 | 9,647 | first reading |
9 posts held, back to 29 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 35 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 25 August 2026 |
|---|---|
| Posts held | 9 (29 July 2026 – 25 August 2026) |
| Views total | 1,610 |
| Reactions total | 93 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 05:54 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.
Measured directly from 2 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.
1,247 reactions across 9 posts, in 8 distinct kinds. The most used accounts for 81.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,010 | 81.0% | |
| 🥰 | 72 | 5.77% | |
| 😱 | 48 | 3.85% | |
| 🔥 | 46 | 3.69% | |
| 🤔 | 35 | 2.81% | |
| 😁 | 22 | 1.76% | |
| 👍 | 7 | 0.561% | |
| 🤯 | 7 | 0.561% |
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 9 of the 9 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 1,247 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 29 July 2026 to 25 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.
Вот почему не стоит идеализировать что-то 😅 Небольшое видео с похода в бутик АР в Шанхае 👄 обитаю сейчас в основном в ВК, так что подписывайтесь~
❤87😁6
Обожаю суши-конвейеры в Азии 😍 супер удобный формат, особенно для стеснительных. Минимальное взаимодействие с персоналом, все интуитивно понятно, четко, а самое главное - еда приезжает ооооочень быстро! Все такое вкусное и красивое 😋 и, кстати, достаточно бюджетное за такое качество блюд. Система такая - берете талон при входе, указываете количество человек и ожидаете приглашения за столик. Но, если не повезет, и п…
❤122👍7😁6🔥1
Ожидание/реальность 🥲 Во время поездки в Шанхай я посетила магазин японского бренда Angelic Pretty 💖 Впечатления от посещения остались двоякие… Поначалу я испытывала радость от того, что иду в настоящий бутик любимого бренда и порадую себя обновками не через интернет, а в реальности! И вроде бы всё красиво, атмосферно, мне даже сделали подарочек - веер с одним из маскотов бренда 🥹 Но осталось ощущение, что магазин…
❤139🤔15🔥8🥰1
На местной барахолке моя мама познакомилась с женщиной, которая продаёт немецких старинных кукол. Она сказала, что на рынке представлено далеко не все, что у нее есть, а многое осталось дома. Иииии… На следующий день, вместе с мамой мы поехали к ней в гости 😋 и я увидела ее… Ту самую. Идеальную в моём представлении антикварную куклу 🥹 Она настолько совпадала с моими вкусами, что у меня побежали мурашки. И я уехала в…
❤147🥰23🔥14
Нашла сегодня такую милую фотку на Пинтересте 🥹 не смогла удержаться, поставила на обои! Такая она дурашка~ А какие обои стоят у вас?
❤103😱41🥰10😁7
Это место мы назвали «китайской Акихабарой». Оказавшись тут, сразу вспомнилась Япония с её магазинами, вывесками, игровыми автоматами и особой атмосферой. Но это Шанхай 😁 Нанкинская улица (南京路). Здесь всегда толпы туристов, шумно и очень живо! А ещё тут можно встретить косплееров и лолит. На Нанкинской можно найти всё: популярные магазины одежды, много мерча и даже магазины-вторички. В одном из них я случайно наткн…
❤128🔥16🥰8😁3
Да да, для меня важно, чтобы все было красиво ☺️ это поднимает мне настроение и дает возможность отдохнуть! А Черноголовка дает возможность не только насладиться вкусняшками во время перерыва, но и выиграть крутые призы! https://vk.cc/cZtvkW #ЧерноголовкаМечтайБезОстановки
❤80🤔20🤯7
Обожаю винтажные игрушки и кукол 😍 В них чувствуется особый шарм и энергетика… Когда держишь в руках игрушку прошлого века, испытываешь очень необычные чувства. Мне становится любопытно: а кто был её хозяином? Что она пережила, какие истории видела? Кого-то такие мысли пугают, а меня - наоборот: я вижу в этом свою эстетику ✨ Мне нравится представлять её прошлое, додумывать детали, чувствовать время. А вас такие «в…
❤90🥰24😱7
В Китае можно найти кучу мерча. Я даже думала: «Неужели это ВСЕ кто-то купит?» 😅 Количество товаров космическое! Честно, сама страдаю тем, что очень хочется что-то купить. И радость приносит не сам факт обладания вещью, а процесс ее покупки. Стремно 🫣 но я стала больше контролировать себя и отучаться от этого. В поездках держать себя в руках сложно - в России нет такого обилия соблазнительных штук на полках магазин…
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Showing the 9 most recent of 9 posts we hold for @sashalis_blog. 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.
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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Дневник Саши Лис” (@sashalis_blog), 9,483 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/sashalis_blog.
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.