Мама несколько лет назад… дочка вчера 🥰 Разница между нами 32 года. А вещи мои как подходят 🤪❤️
❤540🔥310👍28🤩15🤯1
Signed Svetlana

Channel
@lovessfat
On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry
40,742subscribers
-394 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001585771834 |
|---|---|
| Type | Channel |
| Username | @lovessfat |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/lovessfat |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 03:04 | 40,742 | -17 |
| 1 Sept 2026, 01:33 | 40,759 | -21 |
| 30 Aug 2026, 22:54 | 40,780 | -27 |
| 30 Aug 2026, 00:14 | 40,807 | -11 |
| 29 Aug 2026, 01:46 | 40,818 | -19 |
| 28 Aug 2026, 04:25 | 40,837 | -18 |
| 27 Aug 2026, 03:52 | 40,855 | -6 |
| 26 Aug 2026, 03:33 | 40,861 | -13 |
| 25 Aug 2026, 04:35 | 40,874 | -27 |
| 24 Aug 2026, 01:48 | 40,901 | -26 |
| 22 Aug 2026, 10:08 | 40,927 | -25 |
| 20 Aug 2026, 23:05 | 40,952 | -6 |
| 19 Aug 2026, 23:22 | 40,958 | -7 |
| 18 Aug 2026, 20:54 | 40,965 | -10 |
| 17 Aug 2026, 20:26 | 40,975 | -22 |
| 16 Aug 2026, 16:14 | 40,997 | -21 |
| 15 Aug 2026, 01:04 | 41,018 | -8 |
| 13 Aug 2026, 16:28 | 41,026 | -37 |
| 12 Aug 2026, 14:28 | 41,063 | -25 |
| 11 Aug 2026, 14:15 | 41,088 | first reading |
26 posts held, back to 22 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 38 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 22 August 2026 |
|---|---|
| Posts held | 26 (22 June 2026 – 22 August 2026) |
| Views total | 90,650 |
| Reactions total | 3,678 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Aug 2026, 03:56 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 13 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.
18,962 reactions across 26 posts, in 10 distinct kinds. The most used accounts for 61.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11,671 | 61.5% | |
| 🔥 | 4,338 | 22.9% | |
| 👍 | 1,181 | 6.23% | |
| 😁 | 720 | 3.80% | |
| 🎉 | 336 | 1.77% | |
| 🤩 | 330 | 1.74% | |
| 👏 | 283 | 1.49% | |
| 🤔 | 51 | 0.269% | |
| 😱 | 35 | 0.185% | |
| 🤯 | 17 | 0.09% |
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 26 of the 26 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 18,962 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 22 June 2026 to 22 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.
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 |
|---|---|---|---|
| 2VtzqvyUkqX | 1 | 25 June 2026 | 25 June 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 26 most recent posts we hold, published 22 June 2026 to 22 August 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.
Мама несколько лет назад… дочка вчера 🥰 Разница между нами 32 года. А вещи мои как подходят 🤪❤️
❤540🔥310👍28🤩15🤯1
Signed Svetlana
Вчера ехала и смотрела на бесконечные бензиновые очереди… и думала, какой же крутой интуитивный выбор я сделала 2 года назад, купив Li 7, сдав свой Porsche😁🙈 Тогда все посмеивались и говорили: «Красивый люксовый китаец, да! Ну, посмотрим через год!» Прошло 2! Подождите… август же сейчас? 3! 3 года! Ни разу не была в сервисе (не считая положенного 1 р в год по замене масла😅). И моя детка не подвела ни разу! И с кажды…
🔥292❤142👍65😁9
Signed Svetlana
Как наглости вообще хватило?? Как я только могла посметь открыть шторы?? Эта морда своим взглядом просто махом положила на лопатки и убила 😆
😁409❤167🤩41🔥26
Signed Svetlana
Смотрели фильм «Майкл»? Мне очень понравился! И какого классного актера подобрали на роль Майкла Джексона 👌 Как показали в фильме сложные взаимоотношения внутри семьи. И показали, как важно слышать себя и уметь иногда говорить «нет», даже если перед тобой самые близкие. И как важен продюсер. Тот самый человек, который разглядит талант, поверит в тебя больше остальных, и откроет всему миру. Кто смотрел фильм «Майк…
❤372👍95🔥71😱1
Signed Svetlana
Когда задаешь людям вопрос: «Довольны ли вы своей работой и деньгами?», чаще всего они отвечают так: «Нет, не очень». Кто-то выгорел, кто-то топчется на одном месте и хочется иного, но в голове сидит классическое взрослое: ипотека, дети, страшно ошибиться, непонятно, куда вообще идти. Да и сейчас многое изменилось… на понятное раньше «учитель-врач-инженер» пришла толпа новомодных профессий. Особенно если тебе внуш…
❤106👍30🤔4😁2
Signed Svetlana
Девчонки, что вас вдохновляет? Поднимает настроение? Я вчера сидела в Инста и поняла, что вся моя лента состоит из: танцев, людей с красивыми голосами и кулинарии. На все это я могу смотреть вечнооо)) А у вас?
❤190🤩77🔥25👍9
Signed Svetlana
Самые вкусные мои соленые огурцы и помидоры БЕЗ уксуса! И без геморроя🤪 Ядреные получаются, как бочковые! Ум отъешь🤩! Банки не кипятим и не закатываем)) ▪️3 л банка (Покупаю банки твист с широким горлом и твист крышки) ▪️перец душистый горошек ▪️чеснок ▪️хрен ▪️зелень (укроп, петрушка, листья вишни, смородины и чего найдёте) ▪️перец Чили (для остроты, если любите) ❗️на 3-х литровую банку❗️ ▪️соль 50 гр ▪️сахар 15…
❤399🔥186👍62🤔2🤯2
Signed Svetlana
Как вам модная фразочка, дребезжащая из всех щелей: «Надо выбирать себя!» ? Никаких компромиссов в паре, потому что надо выбирать себя. Выбери себя, а дети пусть учатся с 5 лет быть самостоятельными и готовить 5 блюд из картошки. Не могут? Пусть варят пельмени. Лень звонить родителям? Ну, не звони. Выбери себя. Тем более, есть что вспомнить обидного из детства. Не нравится, что в дружбе надо слушать и поддерживат…
❤620👍189🔥87👏46
Signed Svetlana
Наконец-то, спустя 4 месяца споров с Роскомнадзор, появился мой канал в МАХ https://max.ru/lovessfat с такой аватаркой 🤩 Очень не хочется вас терять, поэтому и там буду вести контент. Сегодня выложила свой рецепт умопомрачительной засолки 🥒 и 🍅 без уксуса и геморроя! Переходите, подписывайтесь! Контент будет разный!
❤392👍114🤩22😁3
Signed Svetlana
Такая память… спасибо, мои любимые малыши. Это было очень трогательно 🥹 Какой ответ вас удивил?) где улыбнулись?))
❤1,020🔥407👍84🤩28👏17🎉10
Signed Svetlana
Перед моим днем рождения у нас была фотосъемка. И пока мы на нее ехали. фотографу пришла идея отвести детей в сторону, чтобы я не слышала и задать им пару вопросов. Вот что из этого вышло 🙂
🔥879❤646👏72👍43🤩24🎉11
Signed Svetlana
Наблюдаю за женщинами, их блогами, комментаторами. Такое ощущение, что до сорока от женщины будто ждут, что она всё успеет! Выйдет замуж, родит детей! Построит карьеру или бизнес! Получит пару высших. Будет хорошей мамой, хозяйкой, дочерью, женой, подругой – и выглядеть при этом будет как бездетная содержанка😅 И мы стараемся, стараемся! А потом в жизни наступает момент, когда организм начинает выставлять счета за го…
❤342🔥85👏27👍10😁2
Signed Svetlana
Showing the 12 most recent of 26 posts we hold for @lovessfat. 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.
Citation-graph rank — 1,544,101 of 1,629,571 entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 2 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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“SSFAT” (@lovessfat), 40,742 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/lovessfat.
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.