Telegram RegisterThe public register of Telegram
Telegram profile photo for Мария Пугачева в Эфире

Channel

Мария Пугачева в Эфире

@pugachevamaria

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

73subscribers

-4 since we began measuring on 27 September 2026

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

Register entry

Telegram ID-1002215454941
TypeChannel
Username@pugachevamaria
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded27 September 2026
Last confirmed live13 October 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 October 2026
On Telegramt.me/pugachevamaria

Growth

73777527 September 2026 — 77 subscribers27 September 2026 — 77 subscribers4 October 2026 — 75 subscribers13 October 2026 — 73 subscribers27 September 202613 October 2026
4 measurements spanning 17 days, net -4. 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 72–78 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Oct 2026, 22:3573-2
4 Oct 2026, 18:1775-2
27 Sept 2026, 07:2277no change
27 Sept 2026, 06:4777first reading

Engagement

14 posts held, back to 20 September 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
11.4%
avg views ÷ 73 subscribers
Avg views / post
8.3
14 posts measured
Reaction rate
62.0%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 12 of 14 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 September 2026
Posts held14 (20 September 2026 – 26 September 2026)
Views total116
Reactions total67
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 07:22 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 58s
Average length
2m 58s

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

67 reactions across 12 posts, in 11 distinct kinds. The most used accounts for 29.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2029.9%
🔥1623.9%
👏1116.4%
👍68.96%
custom 526741050814262115357.46%
❤‍🔥22.99%
💯22.99%
🥰22.99%
⚡11.49%
😘11.49%
🙏11.49%

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 is 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 12 of the 14 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 20 September 2026 to 26 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.

Recent posts

26 Sept 2026, 17:15 UTC6 views8 reactionsread 27 September 2026
Photo

Я иду в один эксперимент. 100 лаванд за октябрь 💜 Сегодня я впервые вслух рассказала об этой идее. И, честно, пока сама смотрю на эту цифру и думаю: «Ну что, Мария, ты это серьёзно задумала?» 😄 Да. Серьёзно. Я хочу за один месяц познакомить 100 женщин с Лавандой. Не просто раздать 100 пробников. Мне хочется, чтобы за этой цифрой были реальные женщины. Их дома, семьи, дети, отношения, вечера, бессонные ночи, уст…

👍2🔥2custom 52674105081426211532❤1👏1

26 Sept 2026, 15:23 UTC4 viewsread 27 September 2026

А вот и рецепт вкусной и полезной шарлотки❤️

26 Sept 2026, 15:23 UTC2 views6 reactionsread 27 September 2026
Forwarded from @evteeva3009Photo

#вкусная_суббота 🍏 Шарлотка "Осенний дзен" Ингредиенты (на форму 20-22 см): Основа: 🥚Яйца куриные (С1) — 3 шт. ✨Сахар (тростниковый или кокосовый) — 60 г (это мало, но яблоки дадут сладость) 🧂 Соль — щепотка ✨ Мука цельнозерновая (пшеничная или полбяная) — 100 г ✨ Мука миндальная — 50 г (для влажности и орехового аромата) ✨ Разрыхлитель — 1 ч.л. ✨ Масло топленое (гхи) или кокосовое — 1 ст.л. (для смазки формы и …

❤2👏2🔥2

26 Sept 2026, 15:22 UTC4 viewsread 27 September 2026

Осень - это заварить чай с капелькой эм лимона, а не выпить на ходу кофе и бежать. Это запах яблок и шарлотки из них. Это тёплый плед и интересная книга.

25 Sept 2026, 09:14 UTC7 views6 reactionsread 27 September 2026
Photo

А что для вас значит "отпустить"? Сегодня пятница, и мне захотелось поговорить именно об этом. Недавно ко мне обратилась женщина на арома-диагностику. У неё была непростая ситуация в отношениях с близкими людьми. Были слова, разговоры, моменты, которые очень задели. После этого она чувствовала себя подавленной, расстроенной, эмоционально вымотанной. Во время слепого тестирования ароматов её тело особенно откликну…

❤‍🔥2⚡1👏1😘1🙏1

24 Sept 2026, 07:48 UTC10 views8 reactionsread 27 September 2026
Photo

Я сегодня поймала себя на мысли, что раньше ждала от осени совсем другого. Чтобы всё успеть. Чтобы дети не болели. Чтобы работа не останавливалась. Чтобы дома был порядок. Чтобы я сама была бодрая, красивая, собранная и желательно ещё всем довольная. 😂 А сейчас мне всё больше хочется не «идеальной осени», а своей. С пледом, когда холодно. С горячим кофе. С окном, в которое можно залипнуть на десять минут. С каким-…

❤2👍2💯2👏1🔥1

23 Sept 2026, 11:58 UTC12 views6 reactionsread 27 September 2026
Video

А у вас были такие ситуации? Когда не знаешь, что взять, и кажется, что ничего не помогает? Напишите мне слово «КОЖА» — и я подскажу, с чего начать именно в вашем случае. 💛 P.S. И да, чтобы не было вопросов. На квартире под сдачу я использую хлорку — чтобы максимально продезинфицировать пространство после жильцов. Это не противоречит тому, что я рассказываю про экологичные средства. Просто есть разные задачи. Для с…

🥰2❤1👍1👏1🔥1

22 Sept 2026, 14:38 UTC9 views2 reactionsread 27 September 2026
Video message

Video message, posted without a caption

❤2

22 Sept 2026, 07:51 UTC11 views7 reactionsread 27 September 2026
Photo

Знаете, я тут за собой наблюдаю. Не специально. Просто так получилось. И вдруг поймала себя на мысли, что моя жизнь вообще-то состоит из каких-то совершенно разных кусочков. Семья. Дети. Работа. Люди, которые мне пишут. Поездки по делам. Дом. Кексик, который считает, что я существую исключительно ради выдачи ему вкусняшек. 🐹😂 Небо, которое я могу фотографировать бесконечно. Облака. Закаты. Какая-нибудь совершенно…

🔥3custom 52674105081426211533❤1

20 Sept 2026, 14:29 UTC13 views8 reactionsread 27 September 2026
Photo

Ну почему каждый год всё по одному сценарию?😨 Владик пришёл со школы на днях и говорит: — Мам, мы только начали учиться, а мой друг уже на больничном. Как так? 😳 А у меня тем временем начинают переноситься встречи. Почему? Ребёнок заболел. Звонят родственники. И что мы слышим? «Болеем…» И я смотрю вокруг и думаю: ну почему каждый год всё происходит по одному сценарию? 😅 Только начинается школа, садики, работа …

❤3🔥3👏2

20 Sept 2026, 09:56 UTC8 views4 reactionsread 27 September 2026
Photo

🧡 BOGO-ПАРА №4: «СМЕЛОСТЬ» + «НАДЁЖНОСТЬ» В ПОДАРОК Два готовых роллера, которые удобно брать в школу, детский сад, поездку или на важное мероприятие. «Смелость» помогает сделать первый шаг, а «Надёжность» - почувствовать опору и не потерять себя в непривычной ситуации. 🧘‍♀️ На уровне тела: Оба роллера уже разведены фракционированным кокосовым маслом и готовы к применению. Их можно наносить: ⏺на стопы перед выхо…

❤2👏1🔥1

20 Sept 2026, 09:56 UTC9 views4 reactionsread 27 September 2026
Photo

🛡 ЭКСКЛЮЗИВНАЯ BOGO-ПАРА: «ОН ГАРД» + ЧАЙНОЕ ДЕРЕВО Эту пару нельзя заказать отдельно. Она доступна только внутри полного BOGO-BOX - и это одно из самых практичных сочетаний для домашней аромааптечки. «Он Гард» отвечает за сезонную защиту и уютный пряный аромат дома, а Чайное дерево - за очищение, уход за кожей и бытовое применение. 🧘‍♀️ На физическом уровне: «Он Гард»: ⏺используют в диффузоре в сезон повышенных …

❤2👏1🔥1

Showing the 12 most recent of 14 posts we hold for @pugachevamaria. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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

“Мария Пугачева в Эфире” (@pugachevamaria), 73 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/pugachevamaria.

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.