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Channel

miamonami

@miamonamii

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

22,372subscribers

-635 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001226721330
TypeChannel
Username@miamonamii
Created23 July 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/miamonamii

Topic

Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 74% 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 the other topics.

Growth

22,12923,00722,56822,3727 August 20268 November 2026
63 measurements spanning 93 days, net -635. 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 21,997–23,139 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
8 Nov 2026, 09:3922,372-7
7 Nov 2026, 03:4122,379-7
6 Nov 2026, 05:2522,386-8
5 Nov 2026, 06:4922,394+5
4 Nov 2026, 07:4022,389+25
3 Nov 2026, 07:5622,364+127
2 Nov 2026, 10:2622,237+45
1 Nov 2026, 07:4622,192+63
31 Oct 2026, 05:0922,129-11
30 Oct 2026, 07:5822,140-19
29 Oct 2026, 06:4922,159-9
28 Oct 2026, 05:5722,168-12
27 Oct 2026, 09:0522,180-8
26 Oct 2026, 11:4622,188-6
25 Oct 2026, 12:2922,194-6
24 Oct 2026, 09:0022,200-18
23 Oct 2026, 07:1522,218-8
22 Oct 2026, 07:2122,226-6
20 Oct 2026, 21:5422,232-10
19 Oct 2026, 21:3922,242first reading

Engagement

34 posts held, back to 2 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 91 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
50.3%
avg views ÷ 22,372 subscribers
Avg views / post
11,200
11 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
11
of 34 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 October 2026
Posts held34 (2 August 2026 – 31 October 2026)
Views total123,680
Reactions total1,251
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 02:49 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 42s
Average length
16s

Measured directly from 10 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

3,551 reactions across 34 posts, in 27 distinct kinds. The most used accounts for 64.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,30064.8%
💋2727.66%
💘2336.56%
❤‍🔥1744.90%
🔥992.79%
💯972.73%
🐳902.53%
🥰691.94%
🍓511.44%
🎉340.957%
😍310.873%
😇210.591%
🤩210.591%
🏆140.394%
👎140.394%
🤯100.282%
🌭50.141%
👍30.084%
👏30.084%
🍌20.056%
7 further kinds80.225%

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 34 of the 34 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 3,551 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 2 August 2026 to 31 October 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 34 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 @miamonamii. 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 34 most recent posts we hold for this entry, published 2 August 2026 to 31 October 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

Telegram’s own ‘edited’ marker: 3 of 11 posts held from the last 30 days (27.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

31 Oct 2026, 17:07 UTC≈52,400 views182 reactionsread 8 November 2026
Video message

Video message, posted without a caption

💋90❤55🔥25💘7😘2👎1😁1🙏1

23 Oct 2026, 13:08 UTC≈7,130 views148 reactionsread 8 November 2026
Video

Только посмотрите в каком красивом пространстве пройдет практика🥹❤️ (в конце наш зал) Осталось всего 5 мест! Я уже очень excited😏

💯79❤43🎉18🌭5👎1💋1😍1

23 Oct 2026, 09:08 UTC≈5,830 views42 reactionsread 8 November 2026

Так же прошу прощения, если вам долго отвечают, большой наплыв и договаривались со студией. В течение сегодняшнего дня всем ответят, благодарю за ожидание🙏🏻🥹 Всех, кто забронят, добавят в чатик со мной❤️

❤41💋1

23 Oct 2026, 09:06 UTC≈5,410 views37 reactionsread 8 November 2026

Ребята, доброе утро ☀️ АПДЕЙТ ПО ЙОГЕ 1 ноября, вс 14:00 📍Место быть (Мясницкая 27/7с1) По длительности практика примерно 1-1:15 Цена 3000₽ Если приходите с другом 2000₽ (чел) @yogabookingmia писать сюда для брони места

❤35👎2

22 Oct 2026, 14:09 UTC≈11,200 views128 reactionsread 8 November 2026

Поэтому я приглашаю вас на мою первую групповую практику🥹 (не верю, что пишу это!!) Силовая йога, но подойдет и совсем новичкам!! По времени и месту чуть позже сообщу (рядом с центром и во второй половине дня), уверена, что вам понравится атмосфера студии и встречи в целом❤️ Позанимаемся, пообщаемся, пообедаем вместе! Мне кажется, это очень интересный формат «сходки», а главное какой полезный🤭 Москва 1 ноября, вс …

❤91🔥21🍓11💯3👎1🤬1

22 Oct 2026, 13:46 UTC≈5,570 views164 reactionsread 8 November 2026
Photo

Я нигде не делилась, но этим летом, перед Европой, я обучилась на тренера йоги в стиле Fysm и успешно сдала экзамен🥹 Изначально я это делала просто для себя, для улучшения практики, но сейчас чувствую, что хотела бы попробовать себя в новой роли + очень многие из вас спрашивают как я занимаюсь йогой, поэтому возможно вам будет интересно впервые попробовать Фисм именно со мной (надеюсь🤣) Я занимаюсь 1,5 года, совсем…

❤110💘32❤‍🔥21😐1

22 Oct 2026, 12:16 UTC≈5,670 views127 reactionsread 8 November 2026
Photo

Кто помнит легендарные сходки в 2019 году? Это было замечательное время, сколько мы собирали тогда людей - безумие!! Мы могли стоять по 3-4 часа фоткаться со всеми, а вы дарили подарки и приятные слова, я до сих пор вспоминаю это с большим теплом!! Какие мы все малыши хорошие были🥹 Время очень изменилось и сейчас, конечно, такое невозможно - подобный формат давно изжил себя((( Но я не перестаю думать о том, как ино…

❤115❤‍🔥6💋6

18 Oct 2026, 17:37 UTC≈6,380 views196 reactionsread 8 November 2026
Photo

100 лет не собирала Лего, хотя в детстве оочень любила! Дане на др подарили такой набор, собрали сегодня и я в восторге😭❤️ У меня к Стичу материнский инстинкт!!

❤141💋34😇21

10 Oct 2026, 20:52 UTC≈9,360 views93 reactionsread 8 November 2026

Я, если честно, вообще не ожидала о чем именно сериал. Идет 30 минута 1 серии - я просто в шоке с количества треша 😆😆

❤55💘19❤‍🔥17💋2

10 Oct 2026, 20:48 UTC≈7,860 views60 reactionsread 8 November 2026
Video message

Video message, posted without a caption

💘29❤20🍓8🍌2💋1

10 Oct 2026, 20:47 UTC≈6,870 views74 reactionsread 8 November 2026

Впервые в жизни смотрю королевы крика!! Во-первых — состав вау, во-вторых — я очень ржу и умиляюсь с этого кадра😂🥹 Ариаша вывезла лицом жестко

❤50❤‍🔥12🤯9💋3

30 Sept 2026, 12:33 UTC≈6,370 views143 reactions1 Starread 12 October 2026
Photo

Очень мило вчера погуляли в новом для нас парке 😍 Локация📍Нарышкинский пруд Сейчас такая хорошая погода, что решили не упускать возможность, тем более, пока осень в самом красивом своем проявлении! Хороший пруд, подробно показала его в своем новом мини-влоге в тт🤍

🐳82❤43💋17💘1

Showing the 12 most recent of 34 posts we hold for @miamonamii. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Dima Vo
@dimavodima · 41,639
#1
ESMI♡
@esmixxx · 31,625
#2
Рифмы и Панчи 🤯
@rhymestg · 1,533,953
#3
каечка
@bykae4ka · 212,920
#4
ВПШ
@pravdadirty · 1,391,950
#5
диануся реально рулит
@diana_yappy · 4,776
#6
полина тихонова 🍄
@tikhonovap · 115,356
#7
АКУЛИЧ
@akyulenokk · 256,239
#8
KOSTI
@kosti · 551,869
#9
ЭТО ЗНАК
@etoznakmag · 631,540
#10
tenderlybae💔
@plsbetenderly · 218,619
#11
Exile
@exilemusic13 · 1,439,574
#12
айсберг @icceeeberg
@icceeeberg · 78,846
#13
evkasup
@evkasup13 · 102,028
#14
ПАРАДЕЕВИЧ
@paradeevich · 1,045,516
#15
PETROVA
@milanapetrovaqueen · 198,120
#16
ЕГОР КРИД
@egorkreed · 731,815
#17
🎀Karna.val🎀
@karnava1l · 279,479
#18
gorkesa🤍
@gorkesas · 27,394
#19
Москвач • Новости Москвы
@moscowach · 3,891,542
#20
эрика без впн
@erikabezvpn · 37,410
#21
UMKA
@umkatgk · 51,275
#22
мемуары Джулианны
@juulzzzzzzz · 1,986
#23
ФРАМЕ ТАМЕР
@oieiei · 745,617
#24
МАРИЯ ЛАВЫЗОВА
@lovemashaaa · 6,572
#25
ДАНИЛА ГОРИЛЛА 🦍
@danila_gorilla · 632,781
#26
Милашкина
@milashkina_nekrasova · 241,565
#27
саша теслонд @teslond
@teslond1 · 89,213
#28
Аня Ищук
@anyaischukkkk · 605,862
#29
КК
@petrovtel · 542,071
#30
Дима Масленников
@maslennikovliga · 2,103,729
#31
addi
@addiflyxa · 4,771 (as read 20 September 2026)
#32
катя романова
@katukssaaa · 85,915
#33
ЛИТВИН
@litvintm · 1,813,816
#34

Read from Telegram’s recommendation API, most recently 20 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

ПИВЧАНСКИЙ
@danyapivchanskiy · 77,756
Telegram ranks this channel #11 of 49 here — alongside 48 others — read 4 October 2026
Darilate
@darilate · 105,482
Telegram ranks this channel #32 of 45 here — alongside 44 others — read 30 September 2026
даниэла крив
@dankakriv · 54,368
Telegram ranks this channel #45 of 57 here — alongside 56 others — read 24 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“miamonami” (@miamonamii), 22,372 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/miamonamii.

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.