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Channel

Good morning, dear teacher!

@mariamorning

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

3,263subscribers

-21 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001648156884
TypeChannel
Username@mariamorning
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 26 August 2026
On Telegramt.me/mariamorning

Growth

3,2633,2843,273.57 August 2026 — 3,284 subscribers7 August 2026 — 3,284 subscribers10 August 2026 — 3,283 subscribers14 August 2026 — 3,282 subscribers17 August 2026 — 3,271 subscribers20 August 2026 — 3,266 subscribers23 August 2026 — 3,268 subscribers26 August 2026 — 3,263 subscribers7 August 202626 August 2026
8 measurements spanning 19 days, net -21. 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 3,260–3,287 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Aug 2026, 14:343,263-5
23 Aug 2026, 16:263,268+2
20 Aug 2026, 12:553,266-5
17 Aug 2026, 11:453,271-11
14 Aug 2026, 01:073,282-1
10 Aug 2026, 19:183,283-1
7 Aug 2026, 10:463,284no change
7 Aug 2026, 10:363,284first reading

Engagement

12 posts held, back to 2 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.7%
avg views ÷ 3,263 subscribers
Avg views / post
350
2 posts measured
Reaction rate
8.30%
reactions ÷ views · ER floor
Posts in window
3
of 12 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 5 August 2026
Posts held12 (2 July 20265 August 2026)
Views total699
Reactions total58
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:30 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

433 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 34.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15134.9%
🔥11526.6%
👍8920.6%
💅409.24%
😁368.31%
💋10.231%
🙏10.231%

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 11 of the 12 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 433reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 2 July 2026 to 5 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 11 we hold a reading for · 9%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mariamorning. 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 12 most recent posts we hold for this entry, published 2 July 2026 to 5 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

5 Aug 2026, 14:21 UTC264 views42 reactionsread 7 August 2026
Photo

Продолжаю рубрику общения со спамерами👆🏻 Обожаю общаться со всеми этими около мошенниками. А парень правда очень красивый, жаль, что спамер 😂 PS продолжение в комментариях ➡️⤵️➡️ Вам часто пишут?

😁21💅13👍8

3 Aug 2026, 08:51 UTC435 views16 reactionsread 7 August 2026
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大家好! 🌸 Меня зовут Анжелика, и я веду блог о китайском языке и жизни в Китае 🇨🇳 😏 Здесь я рассказываю о жизни и учёбе иностранного студента в Китае, делюсь полезной лексикой, понятно объясняю грамматику, делюсь материалами и показываю успехи своих учеников Канал будет полезен тем, кто только начинает изучать китайский, студентам и преподавателям Полезные и интересные посты: 🅰Будни китайского студента 🅰成语, которые

8👍5🔥3

23 Jul 2026, 08:42 UTC896 views47 reactionsread 7 August 2026
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Место под соснами 🌲 Отсылка к моему древнему посту. Сегодня утро началось с такого вайбового урока. Я сначала подумала, что это фон. Но это не фон. Ученица правда в лесу 😂 Д - Дисциплина 🤌🏻 Откуда ваши занимались?) ⤵️➡️⤵️

20🔥16👍11

20 Jul 2026, 15:23 UTC952 views44 reactionsread 7 August 2026
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Загуглила юзернейм своего профиля @kusksks. И вот что выдала нейросеть. Неожиданно и приятно 😂 Что вам выдает про вас?

🔥2015👍9

13 Jul 2026, 09:30 UTC≈1,330 views63 reactionsread 7 August 2026
Photo

Хочу немного похвастаться. Совсем не по теме блога, но радуюсь каждый раз 😄 Я научилась сама обрабатывать ногти, делать тот самый трендовый «голый маникюр». От того, как это выглядит получаю нереальное удовольствие. Уже года два не делаю гель-лак, хотя до этого несколько лет вообще его не снимала. Да еще и носила длиннющие ногти и была уверена, что это мое. Раньше, приходя в салон, я вообще не понимала людей, кото

💅2720🔥15💋1

12 Jul 2026, 15:32 UTC980 views42 reactions1 Starread 7 August 2026
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TENNIS GIRL Сходила на тренировку по большому теннису. 🎾 Была уверена, что будет плюс вайб. А получился полный минус вайб. Не очень повезло с тренером. Вроде всё нормально, но от нее постоянно чувствовалось какое-то напряжение и негатив. Самое неприятное - появился страх ошибиться. Это чувство я просто ненавижу. Плюс инструкции были довольно запутанными, непонятно, что делать. Начинаешь делать - неправильно. А

🔥2110👍10🙏1

9 Jul 2026, 19:53 UTC818 views42 reactionsread 7 August 2026
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Лето такое лето… Вместе с ученицей забыли про урок в среду 🤣 Вспомнила я уже только сегодня 🙈 Вы как летом?) ⤵️➡️⤵️

23😁13👍6

8 Jul 2026, 11:17 UTC850 views24 reactionsread 7 August 2026
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Еще один отзыв о консультации по Профи.ру ❤️ Тот же самый формат консультация + неделя поддержки после. Кстати, это самый популярный вариант. 😉 А для занятых есть формат в чате без созвона. И знаете, что мне каждый раз греет сердце? Очень многие потом говорят, что это была не столько консультация по Профи.ру, сколько прием у тренера личностного роста. Потому что мы не просто правим анкету. Мы разбираем ваши силь

12🔥7👍5

6 Jul 2026, 20:34 UTC787 views67 reactionsread 7 August 2026
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У меня тут радостная новость. 😂 Совсем не по теме блога, но мы с коллегами постоянно обсуждаем эту тему. Я ПОДНЯЛА ФЕРРИТИН! С 17 до 86. Прикиньте? 😄 Впервые в жизни вижу такие цифры. До этого он годами держался примерно на уровне 20. Что помогло ⤵️ ➡️ Очень строгий режим приема железа. Честно, я так с ним намучилась, для меня это самое сложное. ♦️ За 2 часа до и 2 часа после - никакой молочки, кофе, чая и п

32👍19🔥14😁2

2 Jul 2026, 11:14 UTC884 views24 reactionsread 7 August 2026

👆👆👆 Получила отзыв от Александры. Она как раз из тех мастодонтов образования о которых я писала выше - доцент в университете, десятки лет опыта. Очень сильный преподаватель для подготовки к экзаменам, когда у меня появятся дети, я знаю к кому их отправлю готовиться 😂 Но даже таким серьезным специалистам требуется помощь в оформлении своего опыта так, чтобы нужная аудитория привлекалась и выбирала среди тысяч дру

👍10🔥86

2 Jul 2026, 11:13 UTC907 views22 reactionsread 7 August 2026

Я выбрала Марию для консультации по совету моей подруги. Она следит за деятельностью Марии в ТГ канале. Консультация была очень насыщенная. Удалось обсудить больше вопросов, чем я ожидала. Мы обсудили не только, как оформить анкету, но и дальнейшую тактику поиска учеников. Мария подсказала, как действовать в разных ситуациях, как общаться с клиентами. Например, как закрывать возражения клиентов по цене занятий и т.

🔥11👍65

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

Citation-graph rank

Citation-graph rank — 1,089,911 of 1,625,404entries 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.

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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

eng books • collection
@englishbooks_collection · 63,922
Telegram ranks this channel #45 of 95 here — alongside 94 others — read 21 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Good morning, dear teacher!” (@mariamorning), 3,263 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/mariamorning.

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.