10 measurements spanning 10 days, net -105. 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 40,686–40,823 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 14:53
40,702
-13
14 Aug 2026, 01:14
40,715
-26
12 Aug 2026, 16:34
40,741
-9
11 Aug 2026, 18:41
40,750
-16
10 Aug 2026, 15:43
40,766
-20
9 Aug 2026, 12:42
40,786
-11
8 Aug 2026, 09:17
40,797
-7
7 Aug 2026, 08:22
40,804
-3
6 Aug 2026, 05:10
40,807
no change
6 Aug 2026, 02:37
40,807
first reading
Engagement
32 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 22 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.54%
avg views ÷ 40,702 subscribers
Avg views / post
2,660
32 posts measured
Reaction rate
4.82%
reactions ÷ views · ER floor
Posts in window
32
of 32 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. It is computed over the 31 of 32 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 August 2026
Posts held
32 (19 July 2026 – 14 August 2026)
Views total
85,127
Reactions total
3,969
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 13:05 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
1m 34s
Average length
47s
Measured directly from 2 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
3,969 reactions across 31 posts, in 23 distinct kinds. The most used accounts for 57.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,298
57.9%
🔥
1,066
26.9%
👍
165
4.16%
🙏
102
2.57%
🥰
86
2.17%
😁
49
1.23%
🤩
47
1.18%
😘
35
0.882%
😍
23
0.579%
❤🔥
20
0.504%
👏
18
0.454%
🤔
17
0.428%
💯
14
0.353%
🍓
6
0.151%
✍
5
0.126%
🤗
5
0.126%
🎉
4
0.101%
💔
4
0.101%
⚡
1
0.025%
🆒
1
0.025%
3 further kinds
3
0.076%
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 31 of the 32 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 3,969reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 19 July 2026 to 14 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 32 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @anettaorlova. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 32 most recent posts we hold for this entry, published 19 July 2026 to 14 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Как отношения встраиваются в наше тело — и остаются там даже после расставания⤵️⤵️⤵️
Мы привыкли думать, что отношения — это про эмоции, слова, поступки.
Но на самом деле они включаются в телесную жизнь человека.
Они живут в мышцах, в дыхании, в хроническом напряжении, в том, как мы сжимаем челюсть или задерживаем воздух.
Особенно — созависимые отношения.
Те, в которых уже нет любви.
Но есть тревога, борьба за вла…
Мои дорогие, готовлюсь к нашей встрече на программе «Про Отношения», у меня будет целых две лекции, 30 августа и в начале сентября.
Жду вас!
Важно: до конца пятницы открыт набор!!! потом уже начинаются лекции. У нас в программе живое участие (онлайн).
Подробнее здесь о самой программе❤️
Но самое главное, это То, о чем молчат.
Вот это суть!
Обожаю наблюдать и аккуратно прикасаться к молчанию. Это волшебство, сколько сил, порой, вкладывается в то, чтобы Не сказать, удержаться или удержать в себе. Невероятно интересно.
Кто согласен, жду реакций)) 🔥
То, как мы используем слова, отражает наш способ вступать в контакт с этим миром и с миром других людей.
Я очень чувствительна к словам и к тону голоса, которым они произносятся.
Узнать или понять
Взять или дать
Почерпнуть или извлечь
Отнести или разделить
Разобраться или исследовать
Сопровождать или следовать
Осознать или переварить
Присутствовать или участвовать
И самое крутое, уметь не только слушать, но и сл…
Когда мы очень хотим определенности, велик риск создать Ложную определенность и об нее жить.
Это всего лишь иллюзия.
Недавно давала интервью для журнала, меня спросили
«Анетта, как вы видите свое будущее?»
Ответ пришел сразу:
«Я никогда не загадываю и испытываю неприязнь к жесткому планированию. В этом для меня очень мало жизни и витальности.
Будущее - это всегда открытый сценарий и всего лишь творческий замысел,…
Я никогда не составляла список требований к мужчине.
Никогда.
В моей голове не было ни одной концепции «каким он должен быть».
Я всегда ориентировалась по ощущениям: хорошо мне с этим человеком или плохо. Прямо здесь и сейчас.
И знаете, что я заметила за годы?
Что у меня всегда безошибочно работал бессознательный фильтр.
Какие-то "троянские вирусы" блокировались на первом этапе — как будто внутренний Касперский ср…
Человек смотрит на себя глазами первого значимого Взрослого!
От того, каков был этот взгляд, будет зависеть наше отношение к своей внешности и не только.
Был ли этот взгляд
- с принятием или оценкой
- вовлеченный или равнодушный
- радостный или печальный
Все это мы отнесем в свою жизнь и будем смотреть этими глазами.
И во время фотосессий этот взгляд активируется, через камеру фотографа.
Удачная фотосессия - во-…
Кажется, иногда для счастливых отношений достаточно просто вовремя сказать: «Ты права»
Но если серьезно, сегодня началось обучение на курсе «Про отношения».
Сейчас от партнера часто ждут невозможного: чтобы он совпал со всеми 183 пунктами, понял без слов, восполнил все дефициты и стал тем самым идеалом. А если не справился — значит, «не тот».
Но близость начинается не там, где мы нашли свое идеальное отражение. А …
«Одиссея» Ноллана 2026 подтолкнула меня вновь прикоснуться к первоисточнику, хотя бы, чтобы сравнить.
Одиссей 2026 символически рассказывает нам про современную мужскую травму идентификации.
Одиссей Ноллана сильно отличаются - временем и нарративом от прототипа.
У Ноллана Одиссей отказывается возвращаться, потому что прежнего мира нет. И он в ответе за это. И он погружается в вину.
Это не классика ПТСР, где боль…
❤115👍8🔥3❤🔥1
Showing the 12 most recent of 32 posts we hold for @anettaorlova. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@anettaorlova edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
14 August 2026
Most recent edit
14 August 2026
Citation-graph rank
Citation-graph rank — 99,902 of 1,480,944entries 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.
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 5 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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Анетта Орлова | Философия жизни” (@anettaorlova), 40,702 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/anettaorlova.
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.