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Channel

Магия, эзотерика [Фролова_отвечает]

@frolova_otvechaet

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

808subscribers

+375 since we began measuring on 31 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002600291571
TypeChannel
Username@frolova_otvechaet
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded31 August 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/frolova_otvechaet

Topic

Religion — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

433808620.531 August 2026 — 433 subscribers31 August 2026 — 433 subscribers1 September 2026 — 435 subscribers10 September 2026 — 733 subscribers18 September 2026 — 808 subscribers31 August 202618 September 2026
5 measurements spanning 17 days, net +375. 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 377–864 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 05:20808+75
10 Sept 2026, 02:19733+298
1 Sept 2026, 08:27435+2
31 Aug 2026, 21:30433no change
31 Aug 2026, 21:15433first reading

Engagement

20 posts held, back to 30 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.8%
avg views ÷ 808 subscribers
Avg views / post
111
3 posts measured
Reaction rate
5.69%
reactions ÷ views · ER floor
Posts in window
3
of 20 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
WindowRolling 30 days · latest post in window 31 August 2026
Posts held20 (30 July 2026 – 31 August 2026)
Views total334
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Aug 2026, 21:30 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.

Reaction mix

203 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 61.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤12561.6%
🔥2612.8%
😁2110.3%
custom 5215572619406882514115.42%
👍94.43%
👀41.97%
💯31.48%
👏20.985%
custom 528973200293574768010.493%
😱10.493%

Custom emoji. 2 of the rows above are 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 counts beside them are Telegram’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 20 of the 20 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 203 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 30 July 2026 to 31 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
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @frolova_otvechaet. 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 20 most recent posts we hold for this entry, published 30 July 2026 to 31 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.

Recent posts

31 Aug 2026, 15:36 UTC71 views10 reactionsread 31 August 2026
Photo

"Изображение создано при поддержке сообщества ведьм по борьбе с необъяснимыми совпадениями" #Магия #Эзотерика #Фролова_отвечает

❤8😁2

29 Aug 2026, 16:22 UTC117 views4 reactionsread 31 August 2026

Здравствуйте Алиса. Что означает "стоимость" человека для сущей? Уже не первый раз такое от них слышу. Начинаю стоить "дорого". Может это вообще опасно? ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ ✍ задать вопрос\почитать ритуалы - @worldtarotbot 📜Чат

❤4

27 Aug 2026, 16:45 UTC146 views5 reactionsread 31 August 2026
Photo

Вопрос Если ведьма способна добиться успеха в мире повседневных дел, то она без проблем выдерживает взаимодействие с тонкоматериальным миром. Но, если она легко справляется с тонкоматериальным, обязательно ли она будет справляться с повседневным миром ? Напишите ответ в комментариях. #Магия #Эзотерика #Фролова_отвечает #Загадка

❤3👍2

26 Aug 2026, 08:07 UTC148 views11 reactionsread 31 August 2026

Исход твой близок - не крестись, у жизни не научилась - у смерти учись.

❤9custom 52155726194068825142

25 Aug 2026, 14:38 UTC159 views10 reactionsread 31 August 2026
Photo

«Некоторые называют это совпадением. Ведьмы — хорошей работой.» #Магия #Эзотерика #Фролова_отвечает

❤8👍2

25 Aug 2026, 14:18 UTC≈2,780 views10 reactionsread 31 August 2026
Photo

✨ А ты когда-нибудь чувствовала, что жизнь пытается тебе что-то сказать? Иногда повторяющиеся числа, странные совпадения, сны, внутренние ощущения и встречи с определёнными людьми — не просто случайности. 🌙 В этом канале мы исследуем эзотерику, интуицию, энергию, символы, отношения и те тонкие вещи, которые обычно остаются за пределами повседневной жизни. Без скучной теории — только то, что действительно хочется по…

❤7custom 52155726194068825143

25 Aug 2026, 10:19 UTC134 views5 reactionsread 31 August 2026

Ребята, приветствую. Такая задачка: у меня сосед воздействует на мою семью через прибор с ультразвуком( пси-технология). Чел является спецслужбовцем. Какой ритуал провести или что делать да бы нейтрализовать это действо? Воздействие направлено на остановку судьбы. Ощущения реально странные, будто время остановилось и ничего в жизни вообще не происходит, как будто уже старость и прочая фигня. ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ ✍ задать…

😁2❤1👍1😱1

23 Aug 2026, 11:22 UTC150 views10 reactionsread 31 August 2026
Photo

#Магия #Эзотерика #Фролова_отвечает #Эстетика_ритуалов

❤10

20 Aug 2026, 16:25 UTC202 views11 reactionsread 31 August 2026
Photo

Причинное, тело блаженства (5) Это последний пост из серии про тонкие тела. Так как сами посты выходили с большими перерывами, то давайте быстро пройдемся по всем тонким оболочкам, которые мы уже успели изучить: материальная, энергетическая, ментальная, интеллектуальная. Они располагаются от более грубых к более утонченным. От более ограниченных к более безграничным. Но есть последняя, которая располагается ближе вс…

🔥5❤3custom 52155726194068825142👍1

18 Aug 2026, 11:08 UTC196 views20 reactionsread 31 August 2026
Photo

"Можно было просто сказать, что расклад не понравился"

😁14👀4👍2

13 Aug 2026, 13:47 UTC267 views12 reactionsread 31 August 2026
Photo

13.08.2026 Про любовь в зимнее время "Самые длительные отношения начинаются зимой" Это не статистически, а поэтически. Ну сами подумайте, если вы смогли в этой куче одежек рассмотреть близкое вам существо, то «Битва экстрасенсов» может подержать ваше…зелье. К чему я это? Вот пришла такая интересная аналогия, что физическое тело – это куртки, пальто, шубы, шапки. То, что выглядит внешним, самым грубым, самым поверх…

❤7🔥3custom 52155726194068825142

Showing the 12 most recent of 20 posts we hold for @frolova_otvechaet. 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 3 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Магия, эзотерика [Фролова_отвечает]” (@frolova_otvechaet), 808 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/frolova_otvechaet.

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.