Little things, lovely details, timeless mood ✨
Signed lena_ashnina

Channel
@lena_ashnina_live
On this record: Topic · Growth · Engagement · What this channel posts · Advertising · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry
107,151subscribers
+24,479 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001700154508 |
|---|---|
| Type | Channel |
| Username | @lena_ashnina_live |
| Description | 💛Забота и любовь к себе 🪴Ремонт и обустройство дома 🥐Дети, семья и вкусные рецепты 💚 полезные находки 💌 @lena_ashnina Регистрация канала: https://gosuslugi.ru/snet/67a5e28188ec79363f4b134a |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/lena_ashnina_live |
Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 45% 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 |
|---|---|---|
| 8 Nov 2026, 16:49 | 107,151 | -439 |
| 7 Nov 2026, 12:45 | 107,590 | -1,488 |
| 6 Nov 2026, 14:10 | 109,078 | -1,498 |
| 5 Nov 2026, 12:49 | 110,576 | -3,845 |
| 4 Nov 2026, 10:16 | 114,421 | -2,099 |
| 3 Nov 2026, 09:36 | 116,520 | -2,249 |
| 2 Nov 2026, 08:30 | 118,769 | +151 |
| 1 Nov 2026, 07:36 | 118,618 | +875 |
| 31 Oct 2026, 05:27 | 117,743 | +1,079 |
| 30 Oct 2026, 08:57 | 116,664 | +1,742 |
| 29 Oct 2026, 11:16 | 114,922 | -2,093 |
| 28 Oct 2026, 12:46 | 117,015 | +276 |
| 27 Oct 2026, 09:48 | 116,739 | +438 |
| 26 Oct 2026, 10:00 | 116,301 | +1,045 |
| 25 Oct 2026, 06:28 | 115,256 | +118 |
| 24 Oct 2026, 03:31 | 115,138 | +957 |
| 23 Oct 2026, 02:58 | 114,181 | +838 |
| 21 Oct 2026, 23:05 | 113,343 | +2,144 |
| 20 Oct 2026, 19:51 | 111,199 | -165 |
| 19 Oct 2026, 19:11 | 111,364 | first reading |
32 posts held, back to 27 June 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 196 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 15 October 2026 |
|---|---|
| Posts held | 32 (27 June 2026 – 15 October 2026) |
| Views total | 154,900 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 21:43 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 8 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 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzqxFfu7A | 1 | 1 October 2026 | 1 October 2026 |
| 2W5zFHBjXRj | 1 | 4 August 2026 | 4 August 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 32 most recent posts we hold, published 27 June 2026 to 15 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Telegram’s own ‘edited’ marker: 1 of 3 posts held from the last 30 days (33.3%) 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).
Little things, lovely details, timeless mood ✨
Signed lena_ashnina
Наш autumn vibe 🍂
Signed lena_ashnina
Идея для красивого свидания с собой или культурного дня вдвоём🤍 Я ценитель прекрасного, а ещё задолб***ся мать, поэтому, мне порой, как воздух, необходимо сбежать из дома в кофейню или на выставку) Собрала несколько художественных пространств Москвы, интересных для посещения. 1. Третьяковская галерея Для тех, кто любит русскую живопись и хочет увидеть знакомые произведения вживую. Сейчас в Лаврушинском переулке пр…
Signed lena_ashnina
Вот такой прекрасный вечер после школы у нас получился! Ещё и монетки списали в приложении “Ключи от Теремка”🤗 Реклама. АО "Теремок-Инвест", ИНН 7734506918, erid:2VtzqxFfu7A
Signed lena_ashnina
Будничный вайб мамы троих 🤪 Каждую неделю ездим на рынок, чтобы пополнить запасы свежих овощей, фруктов, зелени и ягод)
Signed lena_ashnina
Куда съездить на выходные: 5 мест в пределах 2 часов от Москвы. Осень в этом году какая-то особенная – я каждый день выглядываю в окно и думаю, что её ни в коем случае нельзя пропустить 🍂 Прозрачный воздух, мягкое солнце… Хочется собрать мальчишек, кинуть в багажник пледы и термосы с какао и поехать туда, где можно с удовольствием гулять и дышать полной грудью. Собрала для вас (и для себя) 5 мест, куда реально д…
Signed lena_ashnina
Моя осенняя бьюти‑рутина или три шага, которые реально работают: • Мягкое очищение – без пересушивания, чтобы не тревожить защитный барьер. • Концентрат, чтобы удержать влагу. • Питательный крем для защиты от ветра и сухого воздуха. И сюда идеально вписался набор от Klapp: концентрат Skin Boost Hyaluron и крем Hyaluronic Multiple Effect. В концентрате – минеральный шиммер: даёт деликатное сияние, будто кожа прос…
Signed lena_ashnina
Кажется, осень создана для того, чтобы чаще быть дома 🍂 Зажигать свечи, укутываться в плед, включать тёплый свет и наблюдать, как темнеет за окном. Люблю, когда на кухне пахнет выпечкой, в гостиной собирается вся семья и дом наполняется сезонными деталями. Декоративные тыковки, красивые чашки, цветы, новые свечи и диффузор… Вроде бы мелочи, но именно они меняют настроение. Осенью особенно хочется замедлиться. Не с…
Signed lena_ashnina
Моя магия утра ✨ Или тот самый момент, когда проводила всех детей в школу 😁
Signed lena_ashnina
Уже завтра 1 сентября, а это всегда очень волнительный момент для детей и родителей. Артем идет у нас в 3 класс. В этом году в школьный гардероб добавили вещи от Lassie. И вот, что у нас получилось. Люблю, когда гардероб работает как конструктор и из него легко собрать разные образы: для школы, прогулки или просто на каждый день. Мы к школе готовы 🤍 Предвкушаем новый учебный год)
Signed lena_ashnina
Когда ты мама мальчика 💔
Signed lena_ashnina
Мои прекрасные августовские будни 🤍 Наслаждаемся, совсем скоро ритм поменяется кардинально))
Signed lena_ashnina
Showing the 12 most recent of 32 posts we hold for @lena_ashnina_live. 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.
@lena_ashnina_live edited 2 posts 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.
We recorded 5 posts on @lena_ashnina_live as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“lena_ashnina” (@lena_ashnina_live), 107,151 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/lena_ashnina_live.
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.