Eğer şu fâni dünyada beka istiyorsan; beka, fenadan çıkıyor. Nefs-i emmare cihetiyle fena bul ki, bâki olasın. (Sözler) #nefis @bediuzzaman @saidnursi Telegram Kanalı

Channel
Risâle-i Nûr
@saidnursi
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
4,379subscribers
-9 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001050831366 |
|---|---|
| Type | Channel |
| Username | @saidnursi |
| Created | Between 1 April 2016 and 31 January 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/saidnursi |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:36 | 4,379 | -6 |
| 9 Aug 2026, 12:37 | 4,385 | -4 |
| 6 Aug 2026, 21:42 | 4,389 | +1 |
| 6 Aug 2026, 04:04 | 4,388 | no change |
| 5 Aug 2026, 23:04 | 4,388 | first reading |
Engagement
33 posts held, back to 1 August 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 6 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.94%
- avg views ÷ 4,379 subscribers
- Avg views / post
- 260
- 33 posts measured
- Reaction rate
- 1.83%
- reactions ÷ views · ER floor
- Posts in window
- 33
- of 33 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 28 of 33 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 33 (1 August 2026 – 8 August 2026) |
| Views total | 8,587 |
| Reactions total | 141 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 18:17 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
126 reactions across 24 posts, in 2 distinct kinds. The most used accounts for 99.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 125 | 99.2% | |
| 😢 | 1 | 0.794% |
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 28 of the 33 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 141reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 1 August 2026 to 8 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
Gece ile gündüz arasında latif bir perde var ki, gözün kapanmasıyla gece olup, açılmasıyla gündüz olduğu gibi; nefsin âlem-i maneviyata gözü kapanırsa ebedî bir gece içinde kalır, gözü maneviyata açılırsa neharı inkişaf eder. (Mesnevî-i Nuriye) #nefis @bediuzzaman @saidnursi Telegram Kanalı
❤8
📚📖✒️İlmi yayınlar yapan tavsiye Telegram Kanalları👇 ✍️Medrese Dersleri Ses kayıtları ve ders notları paylaşılmaktadır @medresedersleri ✍️ Modern Arapçaya dair @pratikarapca 👉 İslami Kitapların Tanıtımı Hakkında @kitaprehberi 👉Tefsir Dersleri @mufessir ✍️ Fıkıh Dersleri ve Güncel Fıkhi meseleler @fikihdersleri 👉Tefsir, Fıkıh ve Risâle-i Nûr dersleri @meclisikuran 👉Şâfii Fıkhı @fikihdersleri_safi 👉İkinci El isl…
Bazan arzu fikir suretini giyer. Şahs-ı muhteris arzu-yu nefsaniyesini fikir zanneder. (Hutbe-i Şamiye) #nefis @bediuzzaman @saidnursi Telegram Kanalı
❤6
Tavsiye Telegram Kanalı ve youtube kanalı Kanalda Tefsir, Fıkıh, Risâle-i Nûr ders kayıtları ve ders notları yayınlanmaktadır. @meclisikuran http://youtube.com/@meclisikuran
İnsan, kendi nefsine olan şiddet-i muhabbetten dolayı kendisine hizmeti ve menfaati olan şeyleri hem sever, hem kıymet verir. Semeresinden istifade gördüğü şeylere abd ve köle olur. Aksi halde ne sever ve ne kıymet verir. (Mesnevî-i Nuriye) #nefis @bediuzzaman @saidnursi Telegram Kanalı
❤6
Şeytanı dinleyen bir nefis, kusurunu görmek istemez. (Lem'alar) #nefis @bediuzzaman @saidnursi Telegram Kanalı
❤6
Düşman istersen, nefis yeter. (Mektûbat) #nefis @bediuzzaman @saidnursi Telegram Kanalı
❤8
Nefsini ıslah etmeyen, başkasını ıslah edemez. (Sözler) #nefis @bediuzzaman @saidnursi Telegram Kanalı
❤5
Mevt, ehl-i dalalet için bütün mahbubatından elîm bir firak-ı ebedîdir. (Sözler) #mevt-ölüm @bediuzzaman @saidnursi Telegram Kanalı
❤4
Ehl-i iman için ölüm, vazife-i hayat külfetinden bir terhistir; hem dünya meydanındaki imtihanda, talim ve talimat olan ubudiyetten bir paydostur. (Lem'alar) #mevt-ölüm @bediuzzaman @saidnursi Telegram Kanalı
❤3
Ölüm, saadet-i ebediyeye mukaddemedir; bu itibarla nimet sayılabilir. Çünki nimetin mukaddemesi de nimettir. (İşârât-ül İ'caz) #mevt-ölüm @bediuzzaman @saidnursi Telegram Kanalı
❤6
Showing the 12 most recent of 33 posts we hold for @saidnursi. 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 — 319,299 of 1,480,944entries 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
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 9 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.
Named by
Channels on the register whose posts name this channel's handle.
@Hayatus_Sahabe · 10,01219 postsTefsir Dersleri (تدارس القرآن)
@mufessir · 9,92012 postsOsmanlıca Dersleri
@osmanlicadersleri · 13,30512 postsPratik Arapça
@pratikarapca · 19,50312 postsHikemiyât
@hikemiyat · 9,7016 postsLīsan'u easy [Eng&Ar&Tr]
@kolay_ingilizce · 5,8426 postsRisâle-i Nûr İzah ve Notlar
@bediuzzaman · 6,3755 postsAyet Hadis Ezberi
@ayethadisezberi · 7,2854 postsSorularla İslâm
@sorularla_islam · 7,8231 post
Names
Channels on the register whose handles appear in this channel's posts.
@bediuzzaman · 6,37530 postsMeclis-i Kur’an
@meclisikuran · 2,6724 postsNâdir Sahaf || Sahafislam || NadirSahaf || İslâmî Kitaplar! mî Kitaplar!
@nadirsahaf · 9,0933 postsAile ve Çocuk Eğitimi
@ailecocuk · 7,7392 postsAyet Hadis Ezberi
@ayethadisezberi · 7,2852 postsGünlük Ayet Hadis Yayını
@birayetbirhadis · 8,3072 postsFıkıh Dersleri (Hanefi)
@fikihdersleri · 15,2742 postsŞâfii Fıkhı
@fikihdersleri_safi · 5,5122 postsHayâtu's Sahâbe
@Hayatus_Sahabe · 10,0122 postsHikemiyât
@hikemiyat · 9,7012 postsKitap Rehberi
@kitaprehberi · 5,0792 postsLīsan'u easy [Eng&Ar&Tr]
@kolay_ingilizce · 5,8422 postsMedrese Dersleri
@medresedersleri · 12,4892 postsTefsir Dersleri (تدارس القرآن)
@mufessir · 9,9202 postsOsmanlıca Dersleri
@osmanlicadersleri · 13,3052 postsPratik Arapça
@pratikarapca · 19,5032 postsRisâle-i Nûr İmtihan
@risaleinur_imtihan · 3,7232 postsSorularla İslâm
@sorularla_islam · 7,8232 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Risâle-i Nûr” (@saidnursi), 4,379 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/saidnursi.
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.