Telegram RegisterThe public register of Telegram

Channel

دانلود رمان نامستور

@namastour

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

203subscribers

+1 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002186800100
TypeChannel
Username@namastour
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/namastour

Topic

Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 7 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@namastour/39 · this entry12 Oct 2025, 08:55 UTC@jofthaft/5302913 Oct 2025, 15:07 UTC1.0030 hours
@namastour/43 · this entry20 Feb 2026, 11:06 UTC@zendegiebanafsh/107920 Feb 2026, 11:06 UTC1.00under a minute
@namastour/43 · this entry20 Feb 2026, 11:06 UTC@atashmahbous/17820 Feb 2026, 11:07 UTC1.00under a minute
@namastour/43 · this entry20 Feb 2026, 11:06 UTC@moooj/9820420 Feb 2026, 11:07 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@jofthaft9 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (90)
@yellow_heart_novel8 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (62)
@thefoggymoon9 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (90)
@ParnianShab9 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (81)
@zendegiebanafsh9 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (81)
@atashmahbous6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (51)
@moooj5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (50)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 22 October 2024 to 17 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 8, the earliest publisher we hold is @thefoggymoon. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 7 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

202203202.56 August 2026 — 202 subscribers7 August 2026 — 202 subscribers13 August 2026 — 203 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, net +1. 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 202–203 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:07203+1
7 Aug 2026, 04:01202no change
6 Aug 2026, 06:04202first reading

Engagement

20 posts held, back to 22 October 2024the 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
24.1%
avg views ÷ 203 subscribers
Avg views / post
49.0
1 post measured
Reaction rate
6.12%
reactions ÷ views · ER floor
Posts in window
1
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) ÷ 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 July 2026
Posts held20 (22 October 202417 July 2026)
Views total49
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 04:01 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

37 reactions across 19 posts, in 2 distinct kinds. The most used accounts for 97.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3697.3%
👍12.70%

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 19 of the 20 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 37reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 22 October 2024 to 17 July 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

17 Jul 2026, 07:14 UTC49 views3 reactionsread 7 August 2026
Forwarded from @banafshzVideo

کیا منتظر تخفیف رمان های منتشر شده تو #باغ_استور بودن؟ ۳۰ درصد تخفیف رو همهههههههه رمان ها اول برنامه رو رایگان نصب کن بعد هر رمانی میخوای با تخفیف تهیه کن https://t.me/BaghStore_app/1340 #کنج_آغوش_او #مست_از_تو #افرای_ابلق #در_پناه_طوفان #پرنیان_شفق #سونات_فراموشی #پادشاهی_گناه و ۸۰۰ رمان دیگه

3

6 Jun 2026, 07:07 UTC114 views1 reactionsread 7 August 2026
Forwarded from @BaghStore_appPhoto

📚 رمان کنج آغوش او ✍️ به قلم بنفشه و نگار 📝 خلاصه نیلی پزشک یک درمانگاه عمومیه، کسی که راز های زیادی داره و بخاطر مسایلی تو گذشته خودشو متمرکز به درس کرده. اون با شیطنت سه خواهر، با خان دایی بدخلق دخترها رو به رو می‌شه. خان دایی که به اصرار خواهر زاده هاش مجبور میشه به نیلی کمک کنه اما خبر نداره رفتارش قراره یه نفرو خیلی عصبانی کنه‌… یه نفر که به گذشته نیلی پیوند خورده و می‌خواد تو آینده هم باشه‌‌‌… این داستان ما

1

28 May 2026, 19:34 UTC125 viewsread 7 August 2026
Forwarded from @ParnianShab

سلام‌خوشگلا‌ من یه رمان خوناشامی جدید شروع کردم تا اخر هم بصورت #رایگان و هم بصورت #vip تو باغ استور پارتگذاری می کنم اسمش #سونات_فراموشی هست خوشحال میشم تو دنیای این کتاب هم همراهم باشید و تو بخش نظرات برام حس و حالتون بنویسید راستی باغ استور رایگان از اینجا نصب کنید www.baghstore.net

20 Feb 2026, 11:06 UTC232 views2 reactionsread 7 August 2026

بچه ها این‌برنامه باغ استور 👆👆👆👆👆 نصبش رایگانه،مخصوص خوندن کتاب و رمانه، کل رمان های کامل و در حال نگارش من تو این برنامه هست. راستی نسخه اپل هم داره راهنمای نصب اینجا پین شده👇👇👇👇 @baghstore_app

2

20 Feb 2026, 11:06 UTC153 views1 reactionsread 7 August 2026
Forwarded from @BaghStore_appFile

جدیدترین نسخه اپلیکیشن باغ استور سیستم عامل: اندروید (Android) مختص موبایل های سامسونگ،شیائومی،هوآوی و ... تاریخ انتشار: 01 آبان 1403 * لزوما نیازی به حذف برنامه قبلی نیست، بصورت عادی می توان این فایل را دانلود و با کلیک بر روی آن شروع به بروزرسانی کنید. * سوابق کتابخانۀ شما محفوظ است و با پاک شدن برنامه یا حتی صدمه به موبایل شما، اتفاقی برای کتاب های خریداری شده نخواهد افتاد؛ شما کافیست سیمکارت ثبت نامی را دا

1

2 Jan 2026, 19:07 UTC181 views2 reactionsread 7 August 2026
Forwarded from @mowjpubPhoto

ببینین چی از چاپخونه اومده😌❤️ برای سفارش به ایدی زیر پیام بدین @mowjpub_1

2

23 Dec 2025, 17:20 UTC204 views1 reactionsread 7 August 2026
Forwarded from @BaghStore_appPhoto

📚 رمان پرنیان شفق 🔗 جلد دوم رمان پرنیان شب ✍️ به قلم پونه سعیدی 📝 خلاصه پرونده های پایگاه محافظین نشان می‌داد خاندان آفرید هیچ فرزند دختری ندارد! اما او آنجا بود، دختری با خون خالص این خاندان! دختری که خونش هیچ بویی نداشت اما افیونش همه را اسیر تب خون کرده بود! کسی که شاید مثل فرشته مرگ نمی‌کشت! اما زندگی بخش هم نبود! 🔘 #رمان_افسانه‌ای #رمان_فانتزی #رمان_عاشقانه #دانلود_رمان #رمان 🌀این رمان از نوع فروشی‌ست

1

12 Oct 2025, 08:55 UTC316 views2 reactionsread 7 August 2026
Forwarded from @atashmahbous

اینجا قراره روزی یک پارت از آتش محبوس بخونیم پارت اول پین شده دوست داشتی عضو شو https://t.me/atashmahbous به قلم بنفشه و نگار واقعی با پایان‌خوش

2

4 Oct 2025, 06:40 UTC405 views2 reactionsread 7 August 2026
Forwarded from @banafshz

عضو گیری رایگان پیجم رو باز کردم اگر میخوای رمان هامو رایگان بخونی بدو بیا اینجا 👇👇👇💜 آدرس پیج خودم و همکار هام که مشترک می‌نویسیم گذاشتم https://www.instagram.com/zendegibanafsh/

2

21 Jul 2025, 18:35 UTC525 views2 reactionsread 7 August 2026
Forwarded from @panjrekhiyalVideo

#پرنیان_شفق کتاب دوم از دنیای #پرنیان_شب از نشر موج به چاپ رسید. 🌃 تا آخر هفته وقت دارید رمان با تخفیف پیش فروش ثبت سفارش کنید قیمت با تخفیف ۴۰۰ هزار تومن هست و برای ثبت سفارش به نشر موج پیام بدین 👇💕 @Mowjpub_1 🌆پرنبان شفق، مثل پرنیان شب یک پایان مشخص داره ، جلد دوم یا سومی نداره اما ممکنه باز هم در آینده کتاب سومی از دنیای پرنیان شب بنویسم 🤭 🌇 داستان مربوط به ادامه رمان پرنیان شبه. یعنی همه کاراکتر ها هستند ، دقی

2

20 Jul 2025, 13:48 UTC407 views1 reactionsread 7 August 2026
Forwarded from @panjrekhiyalPhoto

پرنیان شفق - کتاب دوم از دنیای پرنیان شب - منتشر شد همین الان میتونید این کتابو با تخفیف پیش‌فروش از طریق ادمین نشر موج تهیه کنید قیمت اصلی کتاب ۵۰۰ هزارتومن هست اما با تخفیف پیش‌فروش میتونید به مبلغ ۴۰۰ هزار تومن کتاب خریداری کنید، ارسال هم از هفته آینده است. آیدی برای ثبت سفارش @Mowjpub_1 خلاصه شماره ۱ از کتاب حدس می‌زدم انسان متفاوتی باشد! چون با وجود تب خونی که در وجودم بیدار می‌کرد، خونش بویی نداشت و طور

1

23 Jun 2025, 07:37 UTC508 views1 reactionsread 7 August 2026
Forwarded from @mynovelsell

بچه ها ۳۵ تا رمان اول لیست رو شما میتونید تو تلگرام بخرید بخونید لیست رمان ها👇👇👇💛💜❤️ https://t.me/mynovelsell/2818 یعنی اگر میخواید فایل pdf بخرید از ۳۵ تا بالایی فقط انتخاب کنید. ۲۰ تا رمان پایین لیست تو تلگرام فروش نداره و فقط تو باغ استور فروخته میشه لیست همه رمان ها👇👇👇💛💜❤️ https://t.me/mynovelsell/2818

1

Showing the 12 most recent of 20 posts we hold for @namastour. 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 — 1,265,007 of 1,336,469entries 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

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

“دانلود رمان نامستور” (@namastour), 203 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/namastour.

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.