Telegram RegisterThe public register of Telegram

Channel

پرتو رسانه

@Parto_Resaneh

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

520subscribers

+0 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-1001114687420
TypeChannel
Username@Parto_Resaneh
DescriptionPartoresane Collaboration with @Galleny @KianooshHosseini @mdimohammadi @sghaderi ✅Instagram Instagram.com/parto.resane ✅Telegram T.me/parto_resaneh ✅LinkedIn https://b2n.ir/n5 ✅Web. Galleny.com لینک های مستقیم ✅ zil.ink/galleny پشتیبانی @Galleny_support
CreatedBetween 1 February 2017 and 31 May 2019— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 August 2026
Measurements held2
On Telegramt.me/Parto_Resaneh

Topic

Education — 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 56% 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 1 other registered channel. 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@mapmed7 (7/7 hand-verifiable sample passed)0.97under a minute@mapmed (52)

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 1 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 9 comparable posts for this entry, running 6 May 2022 to 27 April 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 2, the earliest publisher we hold is @Parto_Resaneh — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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 1 other registered channel, 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

5206 Aug 2026, 20:33 — 520 subscribers6 Aug 2026, 20:47 — 520 subscribers6 Aug 2026, 20:336 Aug 2026, 20:47
2 measurements taken within a single day. 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 519–521 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 20:47520no change
6 Aug 2026, 20:33520first reading

Engagement

11 posts held, back to 6 May 2022the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 27 April 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
322
Videos
72
Links
296

Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Recent posts

27 Apr 2026, 18:54 UTC86 viewsread 6 August 2026
Forwarded from @Galleny

همکاران و هم‌وطنان گرامی، بنده کیانوش حسینی بعنوان یک دانشجوی دکترا ایرانی در آمریکا، محدودیت دسترسی جامعه علمی ایران به منابع پژوهشی به‌روز، همواره یکی از دغدغه‌های اصلی من بوده است. در همین راستا، در حال طراحی یک زیرساخت فنی هستیم که بتواند محتوای علمیِ دسترسی آزاد (شامل مقالات، کتاب‌ها و دوره‌ها) و همچنین مدل‌های پیشرفته هوش مصنوعی را به‌صورت خودکار بر روی سرورهای مستقر در ایران تجمیع کرده و به‌صورت کاملاً رایگان

17 Feb 2023, 20:01 UTC827 viewsread 6 August 2026

اطلاعیه دوستان گرامی؛ با سپاس فراوان و قدردانی بی نهایت از لطف شما به مجموعه پرتورسانه درسالیان گذشته؛ فعالیت این کانال از تاریخ 3 خرداد 1401 متوقف شده و تمامی فعالیت ها و حق نشر برای گروه گالنی محفوظ است. توجه: دیتابیس کانال همیشه در دسترس شما خواهد بود. لطفا برای دنبال کردن ما به کانال اصلی ما در تلگرام جوین بشید👇 @Galleny @Galleny @Galleny

21 May 2022, 14:39 UTC≈2,220 viewsread 6 August 2026

يادآوری؛ ساعت 10 شب، 31 اردیبهشت 1401 Instagram.com/galleny_med

18 May 2022, 10:52 UTC≈2,000 viewsread 6 August 2026
Forwarded from @GallenyPhoto

✅ لایو مشاوره؛ «فیزیک پزشکی» قسمت دوم ⭐️ A to Z Medical Physics ▪️تحصیل در ارشد داخل کشور ▫️تحصیل در ارشد خارج کشور ▪️تحصیل در دکترا داخل کشور ▫️تحصیل در دکترا خارج کشور ▪️انتخاب موضوع در پایان نامه ▫️شرایط تحصیل در خارج از کشور ➕به همراه پاسخ به سوالات شما با حضور؛ شایان منصف دانشجوی دکترای تخصصی فیزیک پزشکی دانشگاه مینه سوتا، آمریکا مهدی محمدی دانشجوی دکترای تخصصی فیزیک پزشکی دانشگاه علوم پزشکی تهران، ایران ک

15 May 2022, 05:50 UTC897 viewsread 6 August 2026
Forwarded from @GallenyPhoto

✅ اطلاعیه مهم سنجش پزشکی در مورد امکان تصحیح سهمیه، معدل و زمان برگزاری آزمون کارشناسی ارشد 1401 وزارت بهداشت با ما و کنار ما باشید🍏💚😊 🌐 Galleny.com اینستاگرام👇 Instagram.com/galleny_med لینکدین👇 LinkedIn.com/company/galleny تلگرام👇 T.me/galleny

14 May 2022, 08:08 UTC569 viewsread 6 August 2026
Forwarded from @GallenyVideo

✅ شیوه های مختلف خرید در Galleny.com 🔻 تمامی دوره های Galleny تاکنون👇 Zil.ink/galleny گالنی؛ برای تمامی فارسی زبانان دنیا😍 با ما و کنار ما باشید🍏💚😊 🌐 Galleny.com اینستاگرام👇 Instagram.com/galleny_med لینکدین👇 LinkedIn.com/company/galleny تلگرام👇 T.me/galleny

13 May 2022, 15:13 UTC460 viewsread 6 August 2026
Forwarded from @GallenyVideo

✅ نحوه ثبت نام در Galleny.com 🔻 تمامی دوره های Galleny تاکنون👇 Zil.ink/galleny گالنی؛ برای تمامی فارسی زبانان دنیا😍 با ما و کنار ما باشید🍏💚😊 🌐 Galleny.com اینستاگرام👇 Instagram.com/galleny_med لینکدین👇 LinkedIn.com/company/galleny تلگرام👇 T.me/galleny

12 May 2022, 17:50 UTC409 viewsread 6 August 2026
Forwarded from @GallenyPhoto

💚✅️ دوره فیزیک، تکنیک و کلینیک پاتولوژی های رایج در رادیولوژی و تصویربرداری تشخیصی بر اساس متد A to Z 💚برخی از ویژگی های دوره: ✅️بررسی کلینیک و پاتولوژی‌های رایج در رادیولوژی و تصویربرداری تشخیصی با تکیه بر فیزیک و تکنیک ✅️استفاده از مثال های مختلف آموزشی در زمینه های مختلف رادیولوژی همانند فیزیک و تکنیک جهت فهم دقیق تر درس ✅️بررسی جامع بیمارهای رایج از نظر تفاوت های تصویربرداری، ویژگی های اتیولوژیک و پاتولوژیک

11 May 2022, 17:35 UTC368 viewsread 6 August 2026
Forwarded from @GallenyPhoto

✅ لایو مشاوره؛ «فیزیک پزشکی» قسمت اول ⭐️ A to Z Medical Physics ▪️تحصیل در ارشد داخل کشور ▫️تحصیل در ارشد خارج کشور ▪️تحصیل در دکترا داخل کشور ▫️تحصیل در دکترا خارج کشور ▪️انتخاب موضوع در پایان نامه ▫️شرایط تحصیل در خارج از کشور ➕به همراه پاسخ به سوالات شما با حضور؛ شایان منصف دانشجوی دکترای تخصصی فیزیک پزشکی دانشگاه مینه سوتا، آمریکا مهدی محمدی دانشجوی دکترای تخصصی فیزیک پزشکی دانشگاه علوم پزشکی تهران، ایران ک

6 May 2022, 13:11 UTC363 viewsread 6 August 2026
Forwarded from @GallenyPhoto

💚🍏 دوره رایگان و جامع فیزیک سونوگرافی و فراصوت 🔻در راستای ارائه ی آموزش‌های تخصصی به تمامی دانشجویان، همکاران و متخصصین حوزه تصویربرداری پزشکی فارسی زبان، نخستین دوره جامع فیزیک سونوگرافی را ارائه می نماییم. ⭐️ بیان ساده و تفهیم کامل مفاهیم اساسی از جمله اهداف اساسی می باشد که ما در گالنی دنبال می‌کنیم. ✅ از این رو، ما در گروه علمی-آموزشی گالنی سعی می کنیم تا هر آنچه را که یک کارشناس رادیولوژی، پزشک رادیولوژیست،

Showing the 11 most recent of 11 posts we hold for @Parto_Resaneh. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

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.

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

“پرتو رسانه” (@Parto_Resaneh), 520 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/Parto_Resaneh.

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.