16 measurements spanning 16 days, net -13. 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 10,433–10,468 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
23 Aug 2026, 20:13
10,437
-7
22 Aug 2026, 07:56
10,444
-3
20 Aug 2026, 20:12
10,447
-7
19 Aug 2026, 17:05
10,454
-3
18 Aug 2026, 18:18
10,457
-6
17 Aug 2026, 20:49
10,463
-1
16 Aug 2026, 22:27
10,464
+7
15 Aug 2026, 13:47
10,457
-2
14 Aug 2026, 03:38
10,459
+2
11 Aug 2026, 18:45
10,457
+3
10 Aug 2026, 20:18
10,454
-4
9 Aug 2026, 21:31
10,458
-1
8 Aug 2026, 23:04
10,459
+7
7 Aug 2026, 23:11
10,452
+2
7 Aug 2026, 15:15
10,450
no change
7 Aug 2026, 15:04
10,450
first reading
Engagement
19 posts held, back to 1 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 28 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
25.0%
avg views ÷ 10,437 subscribers
Avg views / post
2,610
19 posts measured
Reaction rate
5.93%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 23 August 2026
Posts held
19 (1 August 2026 – 23 August 2026)
Views total
49,640
Reactions total
2,944
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Aug 2026, 21:06 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
≈7,430
Videos
≈380
Links
≈426
Lifetime counters from Telegram’s own channel header, read 23 August 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
14s
Average length
14s
Measured directly from 1 video 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
2,944 reactions across 19 posts, in 14 distinct kinds. The most used accounts for 40.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5255937688422351623
1,187
40.3%
❤
1,107
37.6%
🔥
250
8.49%
💔
77
2.62%
❤🔥
67
2.28%
🕊
67
2.28%
🥰
49
1.66%
⚡
46
1.56%
🍓
30
1.02%
👀
28
0.951%
😍
13
0.442%
💘
9
0.306%
💋
8
0.272%
🆒
6
0.204%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 19 of the 19 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 2,944reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 1 August 2026 to 23 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.
Осень приближается, а это значит, что пора бы сделать подборку актуальных, на мой взгляд, вещей.
Давно что-то не было таких постов и в анонимные вопросы я частенько получаю запросы на такие посты с обувью/верхом на осень.
Основные некоторые мысли на этот сезон, что можно взять на заметку:
- тотал дэним
- плащи по типу ветровок или тренчи, но не в классическом бежевом цвете.
- утепленные пиджаки
- очень толстые носки…
Возвращение в Москву и тут же встречает новый дроп от @tabloidsu !
Признаюсь, это моя самая любимая коллекция от Таблоида. В подарок положили значки, также из новой коллекции. Еще помимо этих вещей, которые взяла, очень нравится верхняя одежда (укороченный тренч и плащ атласный).
#обзорLania
Очень хотелось сделать съемку с этим платьем. Вчера ночью сделали🕊️
Шикарное платье от Dior Гальяно 2006 года. Из коллекции шикарных архивов Галины (Петр Павлов).
iPod + Sony a5000
В последнее время хочется много делать красивых кадров и съемок. Особенно за городом в спокойствии.
Белый топ Suel*
Лонгслив Zara
Штаны Rick Owens SS2013
*запрещенная соц сеть
С приближением осени стали появляться видео о цвете сезона. И чаще всего говорят об оранжевом и фиолетовом. И тут я вспомнила откуда вообще берутся эти трендовые цвета и как они определяются. И все супер просто — цветовой круг.
Люди, которые ходили в художку знакомы с этим на все 100.
Трендовые цвета работают по тому же принципу (в большинстве случаев), как и сочетания цветов (комплиментарные цвета).
Этим летом глав…
Мы уже неделю в Краснодаре. За время отсутствия в городе и отдыха на даче мне поприходило несколько долгожданных посылок!
А еще вчера был небольшой обход винтажек Краснодара.
Мне пришла шикарная двухслойная юбка от @haspiklhaspikl
Очень долго на нее смотрела. И моя появившаяся обсессия на миди юбки победила)
Самая долгожданная посылка — новая сумка Chanel 2011 года. Нашла я ее на Оскелли, как ни странно. И даже не …
Я все еще ищу идеальный тренч/плащ в пол для себя.
Особенно хочется добавить на него, как найду, интересных деталей. Маленьких значков, брошек.
Когда вижу осенью кучу одинаковых «идеальных» бежевых тренчей, хочется им всегда добавить жизни… Все и так уже становится сильно идеальным, но этот элемент одежды, как по мне, создан быть абсолютно не идеальным.
1-2 фото Prada
3-5 фото винтажные тренчи
6 фото @tabloidsu
7 фо…
Showing the 12 most recent of 19 posts we hold for @lania_talking. 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.
Mentions
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.
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 23 August 2026 — this
entry's latest reading, not the date you are reading this.
“Lania” (@lania_talking), 10,437 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/lania_talking.
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.
