Channel
@arsipnyanata
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1subscribers
+0 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003659301387 |
|---|---|
| Type | Channel |
| Username | @arsipnyanata |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/arsipnyanata |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 02:05 | 1 | no change |
| 14 Aug 2026, 16:47 | 1 | first reading |
20 posts held, back to 29 July 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (29 July 2026 – 8 August 2026) |
| Views total | 37 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 16:47 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.
🐻 : Waduh pemecah sandi sekelas Alan turing dan William Friedman aja nyerah, sebenernya apa sih isi dari manuskrip voynich itu? dan kenapa nama buku itu bisa manuskrip voynich? kan penulisnya belum diketahi??.. oke mari kita teliti satu-satu 🐻 :
🐻 : 🐻 : 🐻 : Gimana nih, di oper-oper terus bukunya, apakah bukunya bakal terus sama hans atau pindah lagi ya? kayak barang ga berharga, kita lanjutin lagi dehh
🐻 :
Halo semuanyaa, kata pepatah, tak kenal maka tak tau, kalo sudah kenal jangan pura-pura ga tau!! Kenalin gua, Olivèr Chamberlain Nomercy. Bisa dipanggil ole atau kebanyakan orang udah kenal gua dengan nama "ghea" oke gapapa panggil senyamannya aja yaa. Kalo perlu orang yang on 24 jm di telegram (bukan nolep ye, hny free)[] silahkan dobrak rc gua @ohiroha. Sekian perkenalan dari gua, semoga kita bisa saling menergur…
https://share.google/aimode/1xgji6a5tSEuBx5Ov
https://share.google/aimode/xrembZ1mURw1wzExS
https://share.google/aimode/2OrtIb789odqZasA5
Sifilis.Sembuh
akhir hidup sang ratu akibat keracunan logam berat kronis.5. Ramuan Obat Sifilis yang Menyiksa (Eropa, Abad ke-15 hingga ke-19)Sebelum ditemukannya penisilin (antibiotik), merkuri adalah ramuan utama di Eropa untuk mengobati penyakit menular seksual seperti Sifilis.Sembuh atau Mati: Pasien akan dipaksa meminum merkuri, mengoleskannya ke luka, atau dimasukkan ke dalam kotak uap panas yang diisi dengan asap merkuri.Slo…
───────────⋆𐙚⋆───────────── LIST SFS 1. @mayiseyla + @POSTDISVENUE 2. @pletyycath + @OFCDISVENUE 3. @verhamm + @POSTDISVENUE 4. @Clynta + @OFCDISVENUE 5. @kalaeela + @OFCDISVENUE 6. @Slzxy19 + @OFCDISVENUE 7. @Floveube + @POSTDISVENUE 8. @chelsiyhyyjaa + @POSTDISVENUE 9. @trianna0 + @POSTDISVENUE 10. @engauthority + @POSTDISVENUE 11. @lA3r11 + @OFCDISVENUE 12. @IIjavfx + @POSTDISVENUE 13. @ippsamuel + @OFCDISVENU…
🐻 : Oke itu saja pembahasan pada podcast ulala menarik nih? kali ini, semoga dengan podcast ini kalian bisa menambah lagu baru ke playlist kalian, siapa tau kan ada yang realate dari playlist bluetté sama kehidupan atau perasaan kalian. Terimakasih buat bluetté karena sudah mau menjadi bintang tamu di podcast kali ini... dan sampai jumpa kembali di podcast ulala menarik nih? selanjutnyaa see you all!!
🐻 : Cara menikmati lagu yang sederhana tapi menyentuh yaa, kamu gamau ribet dengan pakai speaker biar semuanya bisa dengerin gitu, haha, tapi dengan kayak gini rasanya lebih tenang bisa menikmatinya sendiri.
Showing the 12 most recent of 20 posts we hold for @arsipnyanata. 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 — 1,443,685 of 1,481,217entries 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.
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.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“arsip” (@arsipnyanata), 1 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/arsipnyanata.
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.