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 10 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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
28 measurements spanning 38 days, net -180. 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 17,801–18,062 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
19 Sept 2026, 06:59
17,831
-17
16 Sept 2026, 21:41
17,848
-13
15 Sept 2026, 02:01
17,861
-10
13 Sept 2026, 10:57
17,871
-7
11 Sept 2026, 13:36
17,878
-12
8 Sept 2026, 19:56
17,890
-25
5 Sept 2026, 13:40
17,915
-13
3 Sept 2026, 14:41
17,928
-8
2 Sept 2026, 04:33
17,936
-11
1 Sept 2026, 04:26
17,947
-5
31 Aug 2026, 05:37
17,952
-11
30 Aug 2026, 02:34
17,963
-5
29 Aug 2026, 01:57
17,968
-4
28 Aug 2026, 02:04
17,972
-8
27 Aug 2026, 01:17
17,980
-2
25 Aug 2026, 23:48
17,982
-5
25 Aug 2026, 01:28
17,987
-9
23 Aug 2026, 13:06
17,996
-14
21 Aug 2026, 20:15
18,010
-3
20 Aug 2026, 19:06
18,013
first reading
Engagement
50 posts held, back to 10 August 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 41 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.93%
avg views ÷ 17,831 subscribers
Avg views / post
701
14 posts measured
Reaction rate
4.75%
reactions ÷ views · ER floor
Posts in window
14
of 50 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 2 September 2026
Posts held
50 (10 August 2026 – 2 September 2026)
Views total
9,815
Reactions total
466
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:58 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
Video runtime
44m 50s
Average length
1m 07s
Measured directly from 40 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
1,697 reactions across 50 posts, in 9 distinct kinds. The most used accounts for 40.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
685
40.4%
🔥
436
25.7%
👍
430
25.3%
🥰
70
4.12%
🤣
31
1.83%
👏
24
1.41%
🤩
17
1.00%
😱
3
0.177%
🙏
1
0.059%
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 50 of the 50 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 1,697 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 10 August 2026 to 2 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.
У Игоря сегодня 7 уроков 🤪. Вроде предметов новых нет, а количество уроков в день увеличилось
Я сегодня не знаю, что готовить. Не поверите, у нас ещё котлеты остались и макарон кастрюля 😂🙈. Мои чёт так мало едят. И что им сегодня нового и вкусного приготовить я хз
Чет первый день школы, а собрать себя я не могу 😂
Доброе утречко!
Всем хорошего дня, прекрасного настроения 🤗
Дочитала я «Ангелы и демоны»
Очень мне понравилась книга. Фильм сразу скажу не смотрела, отрывками только. Но книга класс. Отличный, захватывающий детектив с непредсказуемой развязкой и лихими поворотами в течении всего сюжета. Плюс мне интересна тема иллюминатов, массонов, символов, заговоров всемирных 😁, поэтому мне читать было вдвойне интересно
Однозн…
Принимаюсь за ужин
Солянка варится, котлеты будут с овощами
КОТЛЕТЫ С ОВОЩАМИ
- 1 кг любого фарша
- 1/2 моркови, луковица, 1-2 соцветия цв.карусты, 1 кабачок (овощи могут быть любые какие есть в холодильнике)
- соль, перец, специи по вкусу
- панировочные сухари
- раст.масло для жарки
Овощи промываем и пропускаем через блендер, добавляем к фаршу, туда же соль, перец и специи. Формируем котлетки, обваливаем в сухаря…
Доброе утречко!
Вот и последний денёчек лета 2026 года!
Но, я хочу вам сказать, у меня прошла вся хандра и я готова к осени и школе 😁
Сегодня по планам готовка, нужно все учебки обернуть, собрать рюкзаки и нагладить рубашки
Сейчас хоть и конец августа, но не менее актуально 😁
Я хоть и не работаю на основной работе, но я терпеть не могу уроки 😭. Завидую белой завистью у кого дети делают уроки САМИ, делают ПРАВИЛЬНО, и делают ВСЕ уроки
У меня дети умные, но педагогической жилки у меня нет - я могу вспылить. Учителям уготовлено отдельное место в раю за терпение и умение объяснить куче детей 🤪. Я бы чёкнулась
Доброе утро!
Четверг, про кофе с корицей не забываем
Погода уже не такая жаркая, прям моя ☺️. Чувствуется приближение осени. У вас как с погодой? Не холодно ещё?
Ужин готов! Всем приятного аппетита кто ужинает
ГРИБНОЙ СУП
- грибная замороженная смесь
- 4-5 картофелин
- 1/2 моркови
- 1/2 луковицы
- зелень по вкусу
- соль
- 2 л воды
Грибы размораживаем и промываем (я не промыла и у меня местами попадался песок), заливаем их водой, солим и варим после закипания 15-20 мин, убирая пенку. Лук с морковью обжариваем. Картофель нарезаем кусочками и добавляем к грибам, варим до гото…
ОВОЩНОЕ АССОРТИ НА ЗИМУ
Рассчет ингредиентов на три 700-граммовые баночки. Т.к я взяла 1,5-литровые банки, то умножала всё на 2
⁃ 500 г огурцов
⁃ 150 г цв капусты
⁃ 150 г болг.перца
⁃ 200 г кабачка
⁃ 100 г моркови
⁃ 100 г лука
⁃ 3 зубчика чеснока
⁃ по 6 веточек укропа и петрушки
⁃ 9 горошин черного перца
⁃ 5 горошин душистого перца
⁃ 1 ст л семян горчицы
⁃ 3 бутона гвоздики
⁃ 1 ст л соли
⁃ 2,5 ст л са…
Огурцы купила, будет ассорти
Замариную окорочка на ужин, пока будут мариноваться займусь ассорти
Всё приготовила. Говорят самое тягомотное это подготовить всё к закрутке, закручивать уже дело быстрое. А я люблю этот процесс подготовки ☺️
👍23❤2
Showing the 12 most recent of 50 posts we hold for @elvira_be_lova. 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 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.
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.
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.
Oksana_kutygina @oksana_kutygi · 33,931 Telegram ranks this channel #9 of 71 here — alongside 70 others — read 3 September 2026
nurzade @nurzade_blog · 49,403 Telegram ranks this channel #10 of 67 here — alongside 66 others — read 25 August 2026
Психология | Мамочки | Дети @PsychoKidy · 25,791 Telegram ranks this channel #13 of 88 here — alongside 87 others — read 13 September 2026
Рецепты пп @vkusno_polezno_pp · 69,838 Telegram ranks this channel #89 of 91 here — alongside 90 others — read 20 August 2026
This channel appears in 4 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“МАКАРОШКА_ПО_ФЛОТСКИ” (@elvira_be_lova), 17,831 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/elvira_be_lova.
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.