Channel name was changed to Β«ππ ππ§ππ’π¨π(Π·Π°ΠΊΡΡΡΠΎ)Β»

Channel
ππ ππ§ππ’π¨π(Π·Π°ΠΊΡΡΡΠΎ)
@kdramsrr
On this record: Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Citations Β· Cite this entry
1,177subscribers
-2 since we began measuring on 10 August 2026
Risers and fallers across the register Β· movement among entries of 1,000β3,162.
Register entry
| Telegram ID | -1002054995152 |
|---|---|
| Type | Channel |
| Username | @kdramsrr |
| Created | Between 1 November 2023 and 31 May 2024β estimated from Telegramβs id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/kdramsrr |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 17:25 | 1,177 | -1 |
| 10 Aug 2026, 23:54 | 1,178 | -1 |
| 10 Aug 2026, 10:31 | 1,179 | first reading |
Engagement
19 posts held, back to 11 June 2025 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 1 pageof Telegramβs post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute β we hold 19 posts for this entry, the most recent from 16 August 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 5m 14s
- Average length
- 24s
Measured directly from 13 videos with a duration reading, out of the posts we hold for this channel β not this channelβs 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 Telegramβs own rounded chrome, so it carries no β mark.
Reaction mix
1,375 reactions across 18 posts, in 26 distinct kinds. The most used accounts for 29.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| β€ | 404 | 29.4% | |
| π | 214 | 15.6% | |
| π | 169 | 12.3% | |
| β‘ | 117 | 8.51% | |
| π | 99 | 7.20% | |
| π | 89 | 6.47% | |
| π₯ | 77 | 5.60% | |
| π’ | 49 | 3.56% | |
| π | 33 | 2.40% | |
| β€βπ₯ | 30 | 2.18% | |
| π | 26 | 1.89% | |
| π | 16 | 1.16% | |
| β | 15 | 1.09% | |
| π | 12 | 0.873% | |
| π«‘ | 11 | 0.8% | |
| π | 3 | 0.218% | |
| π₯° | 2 | 0.145% | |
| π | 1 | 0.073% | |
| π | 1 | 0.073% | |
| π | 1 | 0.073% | |
| 6 further kinds | 6 | 0.436% |
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 π 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 18 of the 19 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 1,375reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 19 most recent posts we hold, published 11 June 2025 to 16 August 2025, 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
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: ΠΈΠ³ΡΠ° Π² ΠΊΠ°Π»ΡΠΌΠ°ΡΠ° π¬π ππ ππππππ: yasuminaki ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #ΠΈΠ³ΡΠ°Π²ΠΊΠ°Π»ΡΠΌΠ°ΡΠ°
β€51π16β€βπ₯9π5π4π3π3π’3
Signed ΰ¨ κ° π€Χ κ± ΰ§
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: Π½Π΅Π·Π½Π°ΠΊΠΎΠΌΡΡ ΠΈΠ· Π°Π΄Π° π¬π ππ ππππππ: (tik tok) ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #Π½Π΅Π·Π½Π°ΠΊΠΎΠΌΡΡΠΈΠ·Π°Π΄Π°
π28β€15π10π3β€βπ₯1
Signed ΰ¨ κ° π€Χ κ± ΰ§
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: ΠΏΠΎΡΠΎΠΌΠΊΠΈ ΡΠΎΠ»Π½ΡΠ° π¬π ππ ππππππ: (tik tok) ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #ΠΏΠΎΡΠΎΠΌΠΊΠΈΡΠΎΠ»Π½ΡΠ°
β€45β€βπ₯6π4π4β‘1π1
Signed ΰ¨ κ° π€Χ κ± ΰ§
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: ΠΌΠΈΠ»ΡΠΉ Π΄ΠΎΠΌ π¬π ππ ππππππ: (tik tok) ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #ΠΌΠΈΠ»ΡΠΉΠ΄ΠΎΠΌ
π33β€10π9β‘4β€βπ₯3π1π1
Signed ΰ¨ κ° π€Χ κ± ΰ§
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: Π»ΠΈΠ½ΡΠ΅Π²Π°ΡΠ΅Π»Ρ π¬π ππ ππππππ: pl3tons ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #Π»ΠΈΠ½ΡΠ΅Π²Π°ΡΠ΅Π»Ρ
β€36π6π4β‘3β€βπ₯1π1π1
Signed ΰ¨ κ° π€Χ κ± ΰ§
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: ΡΠ°ΠΊΡΠΈ Π΄Π΅Π»ΡΠΊΡ π¬π ππ ππππππ: Domy ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #ΡΠ°ΠΊΡΠΈΠ΄Π΅Π»ΡΠΊΡ
π₯25β€11π5π3β‘2β€βπ₯1π1
Signed ΰ¨ κ° π€Χ κ± ΰ§
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: ΠΈΠ³ΡΠ° Π² ΠΊΠ°Π»ΡΠΌΠ°ΡΠ° π¬π ππ ππππππ: amora ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #ΠΈΠ³ΡΠ°Π²ΠΊΠ°Π»ΡΠΌΠ°ΡΠ°
π₯40β€16β‘8π4β€βπ₯3π2π1π1
Signed ΰ¨ κ° π€Χ κ± ΰ§
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: Ρ ΠΎΡΠΎΡΠΈΠΉ ΠΌΠ°Π»ΡΡΠΈΠΊ π¬π ππ ππππππ: (tik tok) ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #Ρ ΠΎΡΠΎΡΠΈΠΉΠΌΠ°Π»ΡΡΠΈΠΊ
β€47π9π₯4π2π₯°2β‘1β€βπ₯1π1
Signed ΰ¨ κ° π€Χ κ± ΰ§
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: ΡΡΠ½ ΠΌΠ°ΠΌΠΈΠ½ΠΎΠΉ ΠΏΠΎΠ΄ΡΡΠ³ΠΈ π¬π ππ ππππππ: (tik tok) ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #ΡΡΠ½ΠΌΠ°ΠΌΠΈΠ½ΠΎΠΉΠΏΠΎΠ΄ΡΡΠ³ΠΈ
β€57β‘11π11π10π3
Signed ΰ¨ κ° π€Χ κ± ΰ§
β β β β β π΅ππ ππππβ β β β β qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯qο½₯οΎβ§ οΎο½₯q π²π ππππ ππππ: Π²Π΅ΡΠ½Π° ΡΠ½ΠΎΡΡΠΈ π¬π ππ ππππππ: (tik tok) ππππ ππππππ: @kdramsrr π»πππ: #ΠΌΠΎΠΌΠ΅Π½ΡΡ #Π²Π΅ΡΠ½Π°ΡΠ½ΠΎΡΡΠΈ
β‘25β15β€15π8π5π₯2π1π€1
Signed ΰ¨ κ° π€Χ κ± ΰ§
ΠΠΎΡΠ°ΠΌΠ° Π΄Π½Ρ: Β«ΠΠ°Π½Π΄ΠΎΡΠ° ΡΡΠ°Π±ΡΠΈΠΊΠΎΠ²Π°Π½Π½ΡΠΉ ΡΠ°ΠΉΒ» π- ΡΠΌΠΎΡΡΠ΅Π»(Π°) π- Π½Π΅ ΡΠΌΠΎΡΡΠ΅Π»(Π°) β‘οΈ- ΠΏΠ»Π°Π½ΠΈΡΡΡ π- Π½Π΅ ΠΏΠ»Π°Π½ΠΈΡΡΡ π- Π±ΡΠΎΡΠΈΠ»(Π°) ΠΠΈΡΠ΅ΠΌ ΠΌΠ½Π΅Π½ΠΈΠ΅ ΠΎΠ± ΡΡΠΎΠΉ Π΄ΠΎΡΠ°ΠΌΠ΅ Π² ΠΊΠΎΠΌΠΌΠ΅Π½ΡΠ°ΡΠΈΡΡ ππ #Π΄ΠΎΡΠ°ΠΌΠ°Π΄Π½Ρ #ΠΏΠ°Π½Π΄ΠΎΡΠ°ΡΡΠ°Π±ΡΠΈΠΊΠΎΠ²Π°Π½Π½ΡΠΉΡΠ°ΠΉ
π50π17β‘11π3β€2π1
Signed ΰ¨ κ° π€Χ κ± ΰ§
Showing the 12 most recent of 19 posts we hold for @kdramsrr. 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 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 β1,200,000 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 β 1,050,583 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below β republished posts weigh more than named mentions β 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 channelβs 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 β a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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 todayβs namer to yesterdayβs 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 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 βNamed by N registered channelsβ 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 14 August 2026 β this entry's latest reading, not the date you are reading this.
βππ ππ§ππ’π¨π(Π·Π°ΠΊΡΡΡΠΎ)β (@kdramsrr), 1,177 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/kdramsrr.
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.