Telegram RegisterThe public register of Telegram
Telegram profile photo for π—’π—™π—™π—œπ—–π—œπ—”π—Ÿ π—©π—”π—šπ—¨π—˜

Channel

π—’π—™π—™π—œπ—–π—œπ—”π—Ÿ π—©π—”π—šπ—¨π—˜

@OFCVAGUE

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

3,246subscribers

+102 since we began measuring on 16 September 2026

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

Register entry

Telegram ID-1004423576285
TypeChannel
Username@OFCVAGUE
CreatedBetween 1 June 2026 and 31 August 2026 β€” estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 September 2026
Last confirmed live18 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/OFCVAGUE

Growth

3,1443,2463,19516 September 2026 β€” 3,144 subscribers16 September 2026 β€” 3,144 subscribers18 September 2026 β€” 3,246 subscribers16 September 202618 September 2026
3 measurements spanning 2 days, net +102. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β€” snapshots are recorded only when a count changes, so gaps mean β€œno change observed”, never β€œinterpolated”. The vertical axis spans 3,129–3,261 and does not start at zero.
Measurement log β€” every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 13:363,246+102
16 Sept 2026, 07:223,144no change
16 Sept 2026, 06:473,144first reading

Engagement

20 posts held, back to 11 September 2026 β€” 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 Β· 30 days
2.07%
avg views Γ· 3,246 subscribers
Avg views / post
67.3
20 posts measured
Reaction rate
12.5%
reactions Γ· views Β· ER floor
Posts in window
20
of 20 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) Γ· views β€” 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 9 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days Β· latest post in window 12 September 2026
Posts held20 (11 September 2026 – 12 September 2026)
Views total1,346
Reactions total74
Forwards / commentsnot exposed by the public surface β€” not measured, not estimated
Readings taken16 Sept 2026, 07:22 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 β€œcorrecting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form β€” 8.12K, 3.7M β€” 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 β€” read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

74 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 31.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❀2331.1%
πŸ”₯1520.3%
πŸ’˜1317.6%
🀩1013.5%
πŸ†’45.41%
😨45.41%
⚑34.05%
πŸ’Š11.35%
πŸ˜‡11.35%

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 β€” πŸ™ is thanks in one channel and mourning in another β€” 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 β€” 4.34K, 1.2M β€” 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 9 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post β€” not by adding up the per-emoji breakdown above β€” those same posts carry 74 reactions in total: the kind of figure the paragraph above means by β€œa reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 11 September 2026 to 12 September 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

12 Sept 2026, 11:57 UTC141 views10 reactionsread 16 September 2026
Photo

🧿 ... [ 🎀 ] β”€β•Œ 🀩ah, itu dia pembahasan kita tentang Training Season dari Dua Lipa. πŸ’‹ ... [πŸŽ™οΈ] β”ˆβ”€ 🀩emoga setelah ini kalian nggak cuma tahu lagunya, tapi juga lebih ngerti cerita dan makna di baliknya. 🧿... [ 🎀 ] β”€β•Œ 🀩egitu dulu dari kita di konten Music Taste kali ini πŸ’‹... [πŸŽ™οΈ] β”ˆβ”€ 🀩ee you di konten berikutnya, Vague! πŸ›Ά ❀️‍πŸ”₯: Bye-bye πŸ’‚β€β™‚ ─ #𝐕𝐀𝐆𝐔𝐄𝐂𝐑𝐄𝐀

❀4πŸ’˜3🀩3

12 Sept 2026, 11:57 UTC87 views7 reactionsread 16 September 2026
Photo

━━━━━━━━━ ✦✦ ━━━━━━━━━ PESAN YANG BISA DIAMBIL 🧿 ... [ 🎀 ] β”€β•Œ Sebelum kita tutup, dari semua yang udah dibahas tadi, pesan apa yang paling bisa kita ambil dari lagu ini? 🧿 πŸ’‹ ... [πŸŽ™οΈ] β”ˆβ”€ Menurut gue, kita nggak harus terus ngajarin seseorang cara menghargai kita, Punya standar juga bukan berarti kita terlalu pilih-pilih. 🧿 ... [ 🎀 ] β”€β•Œ Karena dari pengalaman yang kurang baik, kita justru bisa belajar lebih mengen…

❀3πŸ”₯2πŸ’˜1πŸ†’1

12 Sept 2026, 11:57 UTC41 views6 reactionsread 16 September 2026
Photo

━━━━━━━━━ ✦✦ ━━━━━━━━━ FUN FACT 🧿 ... [ 🎀 ] β”€β•Œ Sekarang masuk ke beberapa fun fact dari Training Season. πŸ’‹ ... [πŸŽ™οΈ] β”ˆβ”€ 1, lagu ini dirilis 15 Februari 2024 sebagai single kedua dari album Radical Optimism. 🧿 ... [ 🎀 ] β”€β•Œ 2, sebelum dirilis, Dua Lipa sudah membawakannya di Grammy Awards 2024 sebagai bagian dari opening performance. πŸ’‹ ... [πŸŽ™οΈ] β”ˆβ”€ Terakhir, Training Season debut di posisi empat UK Official Single…

❀4⚑1πŸ’˜1

12 Sept 2026, 11:56 UTC27 views7 reactionsread 16 September 2026
Photo

━━━━━━━━━ ✦✦ ━━━━━━━━━ BEDAH BEBERAPA BAGIAN LAGU πŸ’‹ ... [πŸŽ™οΈ] β”ˆβ”€ Nah, sekarang kita bedah tiga bagian lirik yang paling menggambarkan Training Season. β€œAre you someone that I can give my heart to?” 🧿 ... [ 🎀 ] β”€β•Œ Dia mempertanyakan apakah orang itu bisa dipercaya untuk menerima hatinya. Jadi, dia nggak mau asal membuka diri sebelum merasa aman. β€œDon’t wanna have to teach you how to love me right” πŸ’‹ ... [πŸŽ™οΈ] β”ˆβ”€β€¦

πŸ’˜2πŸ”₯2πŸ†’2❀1

12 Sept 2026, 11:56 UTC28 views5 reactionsread 16 September 2026
Photo

━━━━━━━━━ ✦✦ ━━━━━━━━━ πŸŽ€NSPIRASI πŸŽ€AGU πŸ“’ 🧿 ... [ 🎀 ] β”€β•Œ Nah, sekarang bagian yang menarik. Ternyata inspirasi lagu ini datang dari pengalaman Dua Lipa sendiri. πŸ’‹ ... [πŸŽ™οΈ] β”ˆβ”€ yup! Setelah beberapa kencan yang kurang menyenangkan, ada satu yang jadi titik terakhir dirinya Besoknya, dia ke studio dan ketemu Caroline Ailin serta Tobias Jesso Jr, yang ikut menulis lagu ini. Waktu ditanya soal kencannya, dia bilang, β€˜tr…

❀2⚑1πŸ”₯1🀩1

12 Sept 2026, 11:56 UTC24 views8 reactionsread 16 September 2026
Photo

━━━━━━━━━ ✦✦ ━━━━━━━━━ πŸ¦‹πŸŒŸAKNA 🌟ESELURUHAN 🌟AGUπŸ¦‹ πŸ’‹ ... [πŸŽ™οΈ] β”ˆβ”€ 🀩ah, kalau makna keseluruhannya sendiri gimana? 🧿 ... [ 🎀 ] β”€β•Œ 🀩raining Season bukan cuma tentang pengalaman dating, tapi juga proses Dua Lipa dalam mengenal dirinya sendiri. 🧿 ... [ 🎀 ] β”€β•Œ 🀩ari pengalaman yang kurang menyenangkanπŸ™†β€β™‚οΈ, dia jadi lebih percaya diri dan tahu apa yang dia mau dalam sebuah hubungan. Karena itu, dia nggak lagi mencari seseo…

🀩2⚑1❀1πŸ’Š1πŸ’˜1πŸ˜‡1πŸ†’1

Showing the 12 most recent of 20 posts we hold for @OFCVAGUE. 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 β‰ˆ was rounded by Telegram before we ever saw it β€” t.me prints views in full below 1,000 and to three significant figures above, so β‰ˆ1,200,000 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.

Mentions

Named by 2 registered channels β€” 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 β€” 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 β€” 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 β€” the β€œNamed 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 18 September 2026 β€” this entry's latest reading, not the date you are reading this.

β€œπ—’π—™π—™π—œπ—–π—œπ—”π—Ÿ π—©π—”π—šπ—¨π—˜β€ (@OFCVAGUE), 3,246 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/OFCVAGUE.

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 Β· 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.