Telegram RegisterThe public register of Telegram
Telegram profile photo for Владыко рассказывает

Channel

Владыко рассказывает

@vladyko_govorit

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

26subscribers

+9 since we began measuring on 9 August 2026

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

Register entry

Telegram ID-1004375830181
TypeChannel
Username@vladyko_govorit
CreatedBetween 1 June 2026 and 2 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live17 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/vladyko_govorit

Growth

172621.59 August 2026 — 17 subscribers10 August 2026 — 18 subscribers11 August 2026 — 18 subscribers17 August 2026 — 26 subscribers9 August 202617 August 2026
4 measurements spanning 8 days, net +9. 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 16–27 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 13:3826+8
11 Aug 2026, 18:3118no change
10 Aug 2026, 09:2418+1
9 Aug 2026, 09:4617first reading

Engagement

15 posts held, back to 2 August 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
140.5%
avg views ÷ 26 subscribers
Avg views / post
36.5
15 posts measured
Reaction rate
11.2%
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. It is computed over the 14 of 15 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 10 August 2026
Posts held15 (2 August 202610 August 2026)
Views total548
Reactions total59
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 18:31 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

59 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 49.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2949.2%
💘1728.8%
🌭46.78%
🔥46.78%
💋23.39%
🤔23.39%
❤‍🔥11.69%

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 14 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 59reactions 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 2 August 2026 to 10 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.

Recent posts

10 Aug 2026, 13:37 UTC22 views9 reactionsread 11 August 2026
Photo

И второй отзыв на новую новеллу Даны Делон. Вот здесь уже очень и очень противоречивые чувства и оценки. Но сейчас тоже все расскажу. Перед нами Майорка, август, лето, загородные дома, и казалось бы прекрасная летняя история о любви, если бы не тот факт что для меня там было слишком уж много интима.. За 192 страницы фактически 3 раза, в доме, под звёздами и на последних страницах. И да, понятно что это серия новая

💘52🔥2

10 Aug 2026, 13:24 UTC22 views7 reactionsread 11 August 2026
Photo

Ну вот и обещанный отзыв. Я дочитал и остался конечно в таких очень спорных впечатлениях. Давайте разберём все по порядку. Сюжет(могут быть спойлеры, так что осторожно): перед нами два героя это Наташа и Кирилл. Наташа работает в концертном агентстве, а Кирилл рок-звезда. И ненависть зарождается после одного случая между героями. Потом вроде как все начинает налаживаться, и вот тут будет самый большой минус о которо

3💘2🤔2

10 Aug 2026, 10:38 UTC22 views7 reactionsread 11 August 2026

Всем привет!! Сегодня наверное будет 2 отзыва. На книгу и на новеллу, которую я прочитал за вчерашний день.

🌭43

9 Aug 2026, 10:25 UTC22 viewsread 11 August 2026
Forwarded from @LuinLokPhoto

🔤🔤🔤🔤🔤🔤🔤🔤🔤🔤🔤🔤 📌 от ☺️уковой📌 ౨ৎ . 🎀⊹ ★☆ ❤️ ✧ . ⸝⸝ 🌨️🌨️🌨️🌨️🌨️🌨️🌨️🌨️🌨️🌨️ Какая ты книжная пара ? 🌨️🌨️🌨️🌨️🌨️🌨️🌨️🌨️🌨️🌨️ 🥛 @vladyko_govorit— Ты Адам и Лили из книги "Шестое чувство" 🌨️🌨️🌨️🌨️🌨️🌨️🌨️🌨️🌨️🌨️ 🤩 Спасибо за участие!!

7 Aug 2026, 17:35 UTC28 views4 reactionsread 11 August 2026
Forwarded from @bbet_weennthelinessPhoto

🖼️🖼️Олег Владыко — Настя. 🖼️🖼️Гордая, справедливая, добродушная ☺️ольшое спасибо за участие!😂 #ассоциациивласовой

3💘1

7 Aug 2026, 11:13 UTC42 views4 reactionsread 11 August 2026

Так-с, пора бы вам рассказать что я читаю. А то уже неделя прошла, а я до сих пор не рассказал что читаю. А читаю я книжечку Анны Джейн "Антифанатка" и это что то необычное. Это смешно, грустно, с тонким стеклом. И мне это безумно нравится, когда каждая глава несет абсолютно разные эмоции. И я очень надеюсь что книга до конца будет иметь такое напряжение, когда ты не знаешь а что будет в следующем диалоге, на следу

3💘1

5 Aug 2026, 10:47 UTC44 views2 reactionsread 11 August 2026

И вот такую красоту сделали) Огромное вам всем спасибо кто делает эту красоту, и вдохновляет меня на какие то идеи.

1💘1

5 Aug 2026, 10:47 UTC38 views5 reactionsread 11 August 2026
Forwarded from @Liliia_booksPhoto

• ˙ ♡゙ ᎯℭℭᎾЦИᎯЦИИ 𓎢𓎢 ˚ ୧ ㅤ ㅤ ⃝ ✦ ° ОТ @Liliia_books ཐི ִִ۫𝆬 🦢 ׄ‌ ׁ 𔔁 ֪ ૮꒰ྀི ៸៸ ꒱ 𝂅ׄ . ۫‌ 𔘘꯭͡ 👡 𝆬 ִׄ𝆹𝅥 𝅄 ִ ࣪ . 🌙 𓆪 ˳ ִ ۫ :: Аᥴᥴ᧐цᥙᥲцᥙя ᥴ κнᥙжныʍ ᥰᥱρᥴ᧐нᥲжᥱʍ. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ ✦ Vladyka tells us — Олег Владыко. Анна Джейн, Восхитительная и Влюблённая ведьма. (づ。◕‿‿◕。)づ Б᧘ᥲᴦ᧐дᥲρю ɜᥲ учᥲᥴᴛᥙᥱ !! ౨ৎ⋆. 𐙚 ˚౨ৎ⋆. 𐙚 ˚౨ৎ⋆. 𐙚 ˚౨ৎ⋆. 𐙚 ˚

2❤‍🔥1💘1🔥1

4 Aug 2026, 14:08 UTC46 views2 reactionsread 11 August 2026
Sticker

Sticker, posted without a caption

1💘1

4 Aug 2026, 13:20 UTC41 views4 reactionsread 11 August 2026
Forwarded from @veselovsbroadcastsPhoto

Oleg Vladyko — 𝐹𝑒𝑏𝑟𝑢𝑎𝑟𝑦 ⋆₊˚⊹♡ 𝐵𝑜𝑜𝑘𝑠 — «Эскиз нашей любви» Лина Винчестер⊹ ݁˖༄༅ 𝓽𝓱𝓪𝓷𝓴𝓼 𝓯𝓸𝓻 Спасибо за участие 𝓹𝓪𝓻𝓽𝓲𝓬𝓲𝓹𝓪𝓽𝓲𝓷𝓰

2💘1🔥1

4 Aug 2026, 13:20 UTC40 views3 reactionsread 11 August 2026

Смотрите какую красоту сделали!! Ну это же просто шик!

💘21

Showing the 12 most recent of 15 posts we hold for @vladyko_govorit. 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.

Citation-graph rank

Citation-graph rank — 347,877 of 1,481,306entries 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.

Forward network

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 2 registered channels — 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.

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

“Владыко рассказывает” (@vladyko_govorit), 26 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/vladyko_govorit.

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.