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Channel

MILANA TALKS

@milanatalks

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

72subscribers

-1 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002270647049
TypeChannel
Username@milanatalks
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/milanatalks

Growth

727372.57 August 2026 — 73 subscribers9 August 2026 — 73 subscribers15 August 2026 — 72 subscribers7 August 202615 August 2026
3 measurements spanning 8 days, net -1. 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 72–73 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 19:2672-1
9 Aug 2026, 22:1773no change
7 Aug 2026, 16:3673first reading

Engagement

7 posts held, back to 16 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
105.6%
avg views ÷ 72 subscribers
Avg views / post
76.0
5 posts measured
Reaction rate
25.8%
reactions ÷ views · ER floor
Posts in window
5
of 7 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 30 July 2026
Posts held7 (16 July 202630 July 2026)
Views total380
Reactions total98
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 22:17 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

138 reactions across 7 posts, in 12 distinct kinds. The most used accounts for 26.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3626.1%
🔥2618.8%
💔1813.0%
🥰96.52%
💯85.80%
😭85.80%
🤣85.80%
❤‍🔥75.07%
👍75.07%
🙏53.62%
🫡53.62%
10.725%

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 7 of the 7 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 138reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 16 July 2026 to 30 July 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

30 Jul 2026, 13:53 UTC55 views24 reactionsread 9 August 2026

кстати пост был вдохновлен by: алина соня аня саша лиза полина ксюня лера стеша маричка полина ариша полина алина полина машка зеркаша сашка вася настя вот они слева направо... мои героини...

💔11❤‍🔥7🥰6

30 Jul 2026, 13:43 UTC56 views15 reactionsread 9 August 2026

очень приятно делать такие коллабы... и еще очень приятно замечать, как твои контакты с магистратуры начинают работать! этот постик мы сделали с однокурсницей Аней, которая курирует пиар в сети взаимопощи жнщин «ТыНеОдна». Именно благодаря ей я узнала об этом классном проекте и их медиа в инсте. Очень советую посерчить! Ну и всех с мини-праздничком, дружба — огромная сила! 😘

12🔥2👍1

30 Jul 2026, 13:42 UTC56 views16 reactionsread 9 August 2026
Forwarded from @tseh85bakeryPhoto

Иногда дом — это не место, а человек Та самая подруга, рядом с которой не нужно быть сильной, удобной или собранной. Можно просто быть собой. 🤩Ко Дню дружбы вместе с сетью взаимопомощи женщин «ТыНеОдна» создали открытки о женской дружбе, в которой женщина для женщины — опора, тепло и безопасное место. Пересылай той самой 🤩

🔥13🥰3

23 Jul 2026, 16:01 UTC93 views20 reactionsread 9 August 2026
Photo

дорогой дневник, автор этого тгк явно в меня тайно влюблен 🥰 ладно, смеюсь! это сто проц иишка а если серьезно, то почему посты, которые делаешь максимально на отъебись, лучше всего всегда забирают в репосты? это что такое.....

10🤣8🔥2

20 Jul 2026, 11:36 UTC120 views23 reactionsread 9 August 2026
Photo

Недавно нужно было зайти в ГУП, ну и, конечно, соответственно одеться, чтобы просто туда зайти ☺️ И тут я жестко начала переосмыслять тот период. Особенно свои мироощущения и стиль. Когда выбирала одежду дома, я пон, что мне просто НЕЧЕГО надеть из подходящего. 90% вещей из гупа выброшены. В итоге пришлось надеть лоферы, которые тоже были надеты последний раз на вручении диплома. Моя первая мысль была: «не слэй + н

14💯81

16 Jul 2026, 14:57 UTC103 views18 reactionsread 9 August 2026

кстати, такая заметка в ENDY часто во мне превышала норма алкоголя, а в Цехе слипается часто попа и случается сахарный передоз..... хз даже что лучше, видимо надо healthtech идти 🤩🤩

😭8🫡5🙏5

16 Jul 2026, 14:55 UTC87 views22 reactionsread 9 August 2026
Forwarded from @tseh85bakeryPhoto

Этот пост пошёл не по плану. Но Шоколадный меренговый торт от этого хуже не стал) В карточках рассказываем, как всё было на самом деле, и пробуем новинку с шоколадной меренгой и нежным кремом. Бери кусочек или забирай целый торт. Уже в Цех85 Петербурга и в приложении🤩

🔥9💔7👍6

Showing the 7 most recent of 7 posts we hold for @milanatalks. 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

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.

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

“MILANA TALKS” (@milanatalks), 72 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/milanatalks.

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.