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 13 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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.
Growth
27 measurements spanning 99 days, net +1,593. 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 3,861–6,694 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
13 Nov 2026, 21:10
5,897
-113
9 Nov 2026, 10:17
6,010
-72
5 Nov 2026, 17:46
6,082
-53
2 Nov 2026, 12:20
6,135
-128
30 Oct 2026, 06:20
6,263
-104
27 Oct 2026, 16:21
6,367
+469
24 Oct 2026, 13:06
5,898
-48
21 Oct 2026, 22:31
5,946
+162
19 Oct 2026, 03:07
5,784
+44
16 Oct 2026, 04:07
5,740
-47
13 Oct 2026, 08:49
5,787
-112
7 Oct 2026, 07:17
5,899
-101
30 Sept 2026, 09:55
6,000
+1,174
16 Sept 2026, 13:58
4,826
-71
12 Sept 2026, 15:15
4,897
+257
8 Sept 2026, 23:21
4,640
-31
3 Sept 2026, 17:21
4,671
+22
31 Aug 2026, 16:34
4,649
+230
29 Aug 2026, 00:38
4,419
-37
26 Aug 2026, 08:06
4,456
first reading
Engagement
17 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 9 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.4%
avg views ÷ 5,897 subscribers
Avg views / post
675
9 posts measured
Reaction rate
9.86%
reactions ÷ views · ER floor
Posts in window
9
of 17 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 November 2026
Posts held
17 (22 June 2026 – 2 November 2026)
Views total
6,074
Reactions total
599
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 16:40 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
2m 45s
Average length
55s
Measured directly from 3 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
983 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 46.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🍓
452
46.0%
💘
286
29.1%
🆒
245
24.9%
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 17 of the 17 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 983 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 22 June 2026 to 2 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 9 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).
my hairstyle tutorial👩✨
- девочки, все не могу нарадоваться новой стрижке!
и сразу делюсь с вами своей ежедневной укладкой, получается очень красиво, и что крайне важно - стойко🤌🏼
все это благодаря нереальному муссу от bisou!
у меня никогда в жизни не было такого объема, это восторг🙏
получила я его в подарок от бренда на intercharm, безумно благодарна, буду повторять и не раз🪽
matcha time🍵💭
patch&go x by wishtrend прислали их новинку - кремовый мист для лица с матчей🤌🏼
- состав просто роскошный : керамиды, пдрн, ниацинамид - все для идеального сияния и увлажнения)
🖇️[очень люблю такой формат, можно использовать to go]
pilates core🧘🫰🏼
- наконец я вернулась к своим любимым тренировкам🙌🏼
из всех направлений всегда отдаю предпочтение пилатесу именно на реформере, очень нравятся ощущения после тренировки🫶🏼
сегодня посетила новый филиал reshape на арбате - попала в невероятную роскошь!
каждая деталь продумана до мелочей, интерьер потрясающий, заниматься одно удовольствие🙏
🖇️Гоголевский бульвар, 14
skin care 🛁🙏
- продолжаю разбирать подарочки с intercharm🫶🏼
прекрасные ask mask подарили много шикарных продуктов (наполнение можете увидеть в комментариях👇🏼), даже не успела еще все попробовать))
но хочу поделиться с вами своим новым открытием - корейский бренд rovectin, а в особенности эта пептидная сыворотка с шикарным составом🤌🏼
🤍дает отличное увлажнение
🤍создает липкий слой, за счет чего служит хорошей базой …
new hairstyle ✂️💭
- уже несколько месяцев мне хотелось как-то преобразить свои волосы!🙏
я точно понимала, что прямые длинные волосы - не мое..(
выбрала для себя стрижку слоями и немного убрать длину)
девочки, ну что за роскошь получилась, я в восторге🤌🏼💭
сразу появилась легкость, объем - это было идеальное решение для моих волос!
🖇️делала в selfie beauty у мастера Ирины
new cutie nails! 🙏
- в этот раз решила взять отдых от френча и ушла с зефирками💭
всегда жду этот beauty день, ничто так не наполняет и заряжает энергией, как новый маникюр!
меня периодически спрашивают про украшения на руке, делюсь👇🏼
- часики u.s. polo assn
- браслет viva la vika
- колечко apm monaco
делаю как всегда в любимой soyka beauty🫶🏼
unpacking my intercharm gifts💖
- девочки, разбираю подарочки от бредов с intercharm🙏
хочу поделиться с вами продуктами, которые забираю в косметичку🫶🏼
🤍один из мои любимых уходовых брендов - librederm!
очень люблю их линейки для сухой, атопичной кожи - всегда спасают меня зимой🤌🏼
нашла своего нового любимчика - гель патчи с гиалуроном)
первый раз пробую подобный формат патчей - наношу гель толстым слоем на зону по…
⚡️sale!
- девочки, у kamali просто роскошные скидки сейчас)
любимый аромат у них - sultan🤌🏼
закупилась диффузорами sultan и blanche, как раз искала себе аромат для дома💭
делитесь своей корзинкой🙌🏼
🖇️девочки, совсем пропадаю из блога(
сейчас усиленно занимаюсь здоровьем, восстанавливаю силы и набираюсь вдохновения для ведения канала🙈🙏
- надеюсь в скором времени вернуться с интересным контентом)
а пока делюсь с вами своим вчерашним ootd🤍
food finds 🍽️🥣
- открыла для себя новую позицию в серфе - овсяная каша с яблочками, корицей, миндалем и кокосом🤌🏼
безумно вкусно!)
🍓17🆒8💘7
Showing the 12 most recent of 17 posts we hold for @ladasmoments. 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.
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 13 November 2026 — this
entry's latest reading, not the date you are reading this.
“Lad_kaa” (@ladasmoments), 5,897 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/ladasmoments.
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.