2 measurements taken within a single day. 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 16–18 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Nov 2026, 16:22
17
no change
12 Nov 2026, 15:47
17
first reading
Engagement
15 posts held, back to 28 October 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
230.8%
avg views ÷ 17 subscribers
Avg views / post
39.2
13 posts measured
Reaction rate
13.9%
reactions ÷ views · ER floor
Posts in window
15
of 15 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
Window
Rolling 30 days · latest post in window 12 November 2026
Posts held
15 (28 October 2026 – 12 November 2026)
Views total
510
Reactions total
71
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 16:22 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
Photos
10
Videos
2
Links
1
Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
20s
Average length
10s
Measured directly from 2 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
71 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 38.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
27
38.0%
❤
19
26.8%
💋
16
22.5%
🥰
4
5.63%
🔥
3
4.23%
👏
2
2.82%
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 13 of the 15 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 71 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 28 October 2026 to 12 November 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
Telegram’s own ‘edited’ marker: 2 of 15 posts held from the last 30 days (13.3%) 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).
🔥Сегодня был проведён очередной урок для юных летунов ⚡. Обычно я занимаюсь старшим составом, но как к известному тренеру многие пони хорошо доверяют мне своих жеребят💫. За всю историю моей карьеры ещё ни один жеребёнок не остался без полёта. На данный момент мы вместе с @Memories_Medranoo изучаем устройство пегасов и магии, чтобы в дальнейшем реабилитировать жеребят с инвалидностью, например, как всеми известная Ску…
🔤🔤🌿🔤🔤🔤🔤🔤🌿
🔤🔤🔤🔤🔤🔤🔤🔤🔤🔤
🔤🔤🔤🔤🔤🔤🔤🔤🔤
🔤🔤🔤🔤🔤🔤🔤🔤🔤
🍪 — Сегодня ко мне пришла Манор, с рецептом очень вкусной лапши
[🤍] — Привет Лайм, Это одно из моих любимых блюд и я рада сегодня поделиться им со всеми.
✨Ингредиенты:
🤩Лапша (японская) — 200 г (можно целую упаковку)
🤩Индейка (бедро) — 300 г
🤩Морковь — 50 г (1 шт.)
🤩Перец болгарский — 150 г (1 шт.)
🤩Лук — 50 г (1 шт.)
🤩Соевый соус — 60 г
🤩Соус терияки — 60 г
🤩Вода — 60 г
…
🌙а ведь рог всё помнит
Я вспомнила заклинания снов
здесь всё так же прекрасно и так спокойно✨
Надеюсь я смогу помочь пони с их кошмарами..
В мире снов не только можно наблюдать за снами пони, но и видеть что происходит в Эквестрии, довольно полезно, но мне еще предстоит по лучше узнать это место
🫰скоро выходные и я надеюсь смогу поделиться с вами чем то интересным, потому что я очень сильно засела в книги и изучение заклинаний, от чего и устала немножко 🥺
Счастливого Хелуина и дня кошмаров 🍁🍂
Я не особо умею красиво наряжать себя но мне кажется все равно получилось прикольно!
На фоне много моих друзей, знакомых и просто пони которые захотели принять участие в этом замечательном дне!
Сегодня в городе особая атмосфера, все настолько необычные, яркие, страшные, сказочные что тяжело поверить глазам! 😅
А главное хелуин нас связывает нашим единством, дружбой, верой в друг д…
Тяжело ли быть командиром отряда пегасов? Отвечу честно — да. Ведь к каждому нужен подход, запас огромного терпения и главное — желание выпускать отличных летунов. Часто меня путают с обычным учеником, ведь зачастую я надеваю костюм чудо молний. Но в своей командирской форме я даже не смогу изобразить мёртвую петлю! Так что, когда я выпускалась с Академии юных летунов, я ожидала, что наконец-то забуду все эти нагрузк…
Три дня назад я была приглашега на концерт🎶
и знаете, до сих пор не могу до конца поверить в то, что произошло за эти три дня. С того самого момента, как ко мне прилетело приглашение на концерт, я ходила сама не своя от предвкушения. Но реальность превзошла все ожидания.
❤️Это совершенно особенное чувство — быть так близко к музыке. Звук не просто доносился из динамиков, он ощущался каждым копытцем.
Домой возвращала…
Простите что не часто что то выкладываю мои дорогие, просто с недавнего времени я занялась изучением магией снов, ведь заметила что пони видят кошмары, поэтому думаю вспомнить заклинания . Раньше я знаю снами занималась принцесса Луна, но занимается ли ими кто то сейчас? Из за недавних странных событий в кантерлоте кошмары участились...
Надеюсь что у меня получится помочь пони с их снами 🌙
Приветик поняши)
Сегодня ко мне в гости всего на один день приехала моя знакомая пони @Memories_Medranoo — она живёт в Кантерлоте, и мы не так часто видимся. Мы решили провести этот денёк в парке, и она согласилась попозировать для портрета :) А я ведь так люблю рисовать!В итоге мы просидели в парке с самого утра и до вечера, но результатом я очень довольна. Конечно же, я подарила эту картину ей на память о поездке)…
❤🔥2💋1
Showing the 12 most recent of 15 posts we hold for @Memories_Medranoo. 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Кантерлотские будни” (@Memories_Medranoo), 17 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/Memories_Medranoo.
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.