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 81% 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
33 measurements spanning 42 days, net -522. 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 37,652–38,330 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 12:17
37,730
-34
16 Sept 2026, 06:55
37,764
-23
14 Sept 2026, 11:02
37,787
-14
12 Sept 2026, 18:39
37,801
-15
10 Sept 2026, 19:37
37,816
-29
7 Sept 2026, 19:36
37,845
-36
4 Sept 2026, 19:59
37,881
-19
3 Sept 2026, 05:57
37,900
-21
2 Sept 2026, 02:53
37,921
-14
31 Aug 2026, 23:49
37,935
-20
30 Aug 2026, 22:38
37,955
-10
29 Aug 2026, 23:44
37,965
-18
29 Aug 2026, 01:25
37,983
-14
28 Aug 2026, 03:58
37,997
-12
27 Aug 2026, 00:37
38,009
-18
26 Aug 2026, 00:43
38,027
-8
25 Aug 2026, 01:33
38,035
-10
23 Aug 2026, 12:16
38,045
-18
22 Aug 2026, 01:19
38,063
-5
20 Aug 2026, 16:59
38,068
first reading
Engagement
38 posts held, back to 19 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 84 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.04%
avg views ÷ 37,730 subscribers
Avg views / post
2,280
14 posts measured
Reaction rate
3.07%
reactions ÷ views · ER floor
Posts in window
14
of 38 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 September 2026
Posts held
38 (19 July 2026 – 22 September 2026)
Views total
31,880
Reactions total
980
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 12:49 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
≈2,310
Videos
≈2,580
Links
≈294
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.
Video runtime
22m 09s
Average length
49s
Measured directly from 27 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
3,097 reactions across 38 posts, in 14 distinct kinds. The most used accounts for 70.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,178
70.3%
🔥
486
15.7%
👍
285
9.20%
🙏
56
1.81%
👏
31
1.00%
🥰
18
0.581%
❤🔥
17
0.549%
🕊
8
0.258%
🤩
6
0.194%
😍
4
0.129%
💘
3
0.097%
😁
3
0.097%
😘
1
0.032%
😢
1
0.032%
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 38 of the 38 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 3,097 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 19 July 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.
Advertising
Ad load
5.26%
2 of 38 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
940
over 2 measured posts
Median views · rest
2,840
over 36 measured posts
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.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqvikedY
1
5 August 2026
5 August 2026
2W5zFGAntJ5
1
22 September 2026
22 September 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 38 most recent posts we hold, published 19 July 2026 to 22 September 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.
Advertisementerid 2W5zFGAntJ5Forwarded from @indidinnerPhoto
Красивому ужину — красивую тарелку 🍽
Осенью особенно хочется окружать себя уютом. Мы с «Лепотой» решили приукрасить ваши ужины и разыграть 3 тарелки «Что на ужин» и 3 промокода по 5 000 ₽ на продукцию Индилайт. Всего будет 3 победителя — каждому достанется идеальный набор для ужина.
Чтобы участвовать:
⚪ подпишитесь на @indidinner и @leepotaa
⚪ Нажмите кнопку «Участвовать»
Подобные правила оставили тут 🚩
Итоги под…
Морковный десерт со сметанным кремом
⠀
Дорогие приветствую , хочу сегодня поделится потрясающим рецептом.
Нежный, воздушный, один из вкуснейших десертов из моей коллекции
⠀
Необходимые ингредиенты на бисквит:
🔸Яйца -3 шт.
🔸Сахар -200 гр.
🔸Растительное масло -1/2 стакана ( стакан = 220 мл. )
🔸Сок половины апельсина
🔸Разрыхлитель -1 ч. л
🔸Мука -130
🔸Морковь -1 шт.
⠀
Крем:
🔸Сметана 25%-300 гр.
🔸Сгущённое молоко -полбан…
✈️ Как выбрать безопасный тур для отдыха и не ошибиться?
Если хотите, чтобы отдых на море прошёл спокойно, красиво и без неприятных сюрпризов, то пора познакомиться с каналом турагентства Your Mango Tour 💛
На канале вы найдете лучшие подборки туров, где сейчас безопасно и комфортно:
🏖 ГОА от 150.000 рублей в октябре
🔥 Топовые отели Вьетнама от 170.000 рублей
💥 Выгодный Китай на осень
💔 Турция от 170.000 рублей,…
🥥 Блинчики «Рафаэлло»
Нежные, ароматные и просто тающие во рту блинчики с кокосовой начинкой — это настоящий десерт, который покорит всех с первого кусочка!
Ингредиенты
Для блинчиков:
Яйца — 3 шт.
Сахар — 2 ст. ложки
Мука — 250 г
Молоко — 700 мл
Растительное масло — 2 ст. ложки
Соль — щепотка
Для начинки:
Творог (мягкий) — 500 г
Сгущённое молоко — 150 г
Кокосовая стружка — 80 г
Орехи — по желанию (миндаль, фундук и…
Моя любимая доченька, с 20-летием тебя!
https://t.me/tinsssunn ❤️
Спасибо Богу за тебя — за то, что именно мне Он подарил счастье быть твоей мамой.
Ты — одно из самых дорогих чудес в моей жизни, моя гордость, моя радость и частичка моего сердца.
Пусть твой жизненный путь будет светлым, пусть рядом будут искренние и добрые люди, а в твоём сердце всегда живут любовь, вера и надежда.
Хочу, чтобы ты не просто была сч…
Творожный пирог с ягодами 🍓
Этот вкус🔥
Всем доброго дня , сразу вкусный рецепт вам, чтобы день был продуктивный 😍
Ингредиенты:
▫️Яйца -3 шт.
▫️Сахара -180 гр.
▫️Молока-200 мл.
▫️Растительное масло -200 мл.
▫️Мука -360 гр.
▫️Крахмала -3 ст. л
▫️Разрыхлитель-1 ч.л.
▫️Ванилин
▫️Любые фрукты или ягоды
Также:
▫️Творожный сыр - 250 г.( можно творог)
▫️Сахара -3 столовые ложки
▫️Яйцо -1 шт.
Смешайте муку, крахмал и раз…
Ну как же это вкусно всем доброго дня друзья.
Считаю , что завтраки должны быть именно такие, насыщенные, сбалансированные и очень вкусные.
Думаю рецепт прописывать не нужно и так все понятно.
Как вам результат? )
Когда дети уже студенты - фото 1 сентября
приходится доставать из архива😅
Всё, фотосессия у школы закончилась, началась взрослая жизнь и уже не до фото)
Поздравляю всех нас с началом учебного года дорогие !
Пусть он будет успешным, лёгким и принесёт только хорошие новости❤️
Пирожные «КРАСНЫЙ БАРХАТ»
Дорогие, хочу поделиться этим вкусным вариантом пирожных , обязательно готовьте
Бисквит ингредиенты:
▪️мука - 200 гр.
▪️сахар - 175гр.
▪️яйца - 2 шт.
▪️какао- 1 ч. л.
▪️сода- 0, 5 ч.. л.
▪️кефир 125 мл.
▪️краситель ( по инструкции на его упаковке)
▪️подсолнечное масло - 100 мл.
⠀
Включить духовку на 180С'
Взбить яйца с сахаром и ванилином до бела, затем добавить подсолнечное масло и ке…
Никогда не переставай надеяться.
Даже, когда кажется, что все потеряно, всё равно надейся и верь.
Бог может в одно мгновение все изменить, а если потеряешь надежду, то тогда зачем ему всё менять.
Когда у тебя уже ничего нет, просто знай, у тебя есть
Бог !
Доброе утро и прекрасное начало выходных❤️
❤95🙏25🔥4
Showing the 12 most recent of 38 posts we hold for @lusin_moon1. 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.
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 31 August 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.
Эгина cooktema @egina_aga · 29,114 Telegram ranks this channel #1 of 63 here — alongside 62 others — read 8 September 2026
Mariya_Allabyan @Mariya_Allabyan · 66,409 Telegram ranks this channel #2 of 57 here — alongside 56 others — read 21 August 2026
nurzade @nurzade_blog · 49,403 Telegram ranks this channel #13 of 67 here — alongside 66 others — read 25 August 2026
evik006 @evik_006 · 66,467 Telegram ranks this channel #13 of 46 here — alongside 45 others — read 21 August 2026
АДИЛЕ @adile.mommy ❤️ @adilemommyy · 70,858 Telegram ranks this channel #19 of 73 here — alongside 72 others — read 20 August 2026
Nani_life @nani_life2 · 171,406 Telegram ranks this channel #19 of 69 here — alongside 68 others — read 12 August 2026
Ирина Смирнова @IrinaSmirnova1 · 190,510 Telegram ranks this channel #21 of 75 here — alongside 74 others — read 11 August 2026
Раиса Фудблогер РЕЦЕПТЫ ЕДА @raisa_alibekova · 74,230 Telegram ranks this channel #22 of 75 here — alongside 74 others — read 19 August 2026
zaremka.family👨👩👦 @zaremka_sai · 68,005 Telegram ranks this channel #30 of 45 here — alongside 44 others — read 20 August 2026
Zarema Rostov❤️ @zarema_rostovrezerv_1 · 242,926 Telegram ranks this channel #31 of 54 here — alongside 53 others — read 11 August 2026
Доктор Смирнова @smirnova_doctor · 89,543 Telegram ranks this channel #34 of 70 here — alongside 69 others — read 17 August 2026
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
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.
“LUSIN_MOON” (@lusin_moon1), 37,730 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/lusin_moon1.
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.