Channel
@ferdowsunikadenews
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
446subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001097694029 |
|---|---|
| Type | Channel |
| Username | @ferdowsunikadenews |
| Description | پ ن: این کانال کاملا #دانشجویی میباشد کانال اصلی دانشکده در ایتا: @Fums_ir ارتباط با ادمین |
| Created | Between 1 September 2016 and 30 November 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/ferdowsunikadenews |
Local community — 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 76% 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.
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.
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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @SRCFerdows/308816 Dec 2025, 10:14 UTC | @ferdowsunikadenews/4472 · this entry16 Dec 2025, 10:14 UTC | 1.00 | under a minute |
| @SRCFerdows/309020 Dec 2025, 19:38 UTC | @ferdowsunikadenews/4473 · this entry20 Dec 2025, 19:44 UTC | 1.00 | 6 minutes |
| @SRCFerdows/309224 Dec 2025, 13:02 UTC | @ferdowsunikadenews/4474 · this entry24 Dec 2025, 13:02 UTC | 1.00 | under a minute |
| @ferdowsunikadenews/4475 · this entry24 Dec 2025, 15:21 UTC | @SRCFerdows/309324 Dec 2025, 15:21 UTC | 1.00 | under a minute |
| @ferdowsunikadenews/4476 · this entry6 Jan 2026, 15:48 UTC | @SRCFerdows/30957 Jan 2026, 10:55 UTC | 1.00 | 19 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @SRCFerdows | 5 (5/5 hand-verifiable sample passed) | 1.00 | under a minute | @SRCFerdows (3–2) |
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 3 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 19 comparable posts for this entry, running 6 December 2025 to 26 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.
Across the whole group of 2, the earliest publisher we hold is @SRCFerdows. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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.
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 19:16 | 446 | no change |
| 6 Aug 2026, 16:50 | 446 | first reading |
20 posts held, back to 6 December 2025 — 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 26 July 2026 |
|---|---|
| Posts held | 20 (6 December 2025 – 26 July 2026) |
| Views total | 2,072 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:16 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.
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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
بسم الله الرحمن الرحیم ⭕️پیرو برگزاری جلسه شورای صنفی دانشجویان دانشکده علوم پزشکی فردوس، با حضور اعضای شورا و پس از بررسی و رأیگیری، جناب آقای رضا روانشاد با اکثریت آرای اعضای حاضر، به عنوان دبیر شورای صنفی دانشجویان دانشکده علوم پزشکی فردوس انتخاب گردید. ضمن تبریک به ایشان و آرزوی موفقیت در انجام مسئولیت محوله، از اعتماد، همراهی و مشارکت ارزشمند تمامی دانشجویان گرامی در حمایت از شورای صنفی صمیمانه قدردانی مینما…
Signed Reza Ravanshad
نتایج شورای صنفی دانشکده علوم پزشکی فردوس به شرح زیر است: (اعضای اصلی) رضا روانشاد سجاد معصومی سید ابوالفضل حسینی امیر حسین باغبان شعیب تیموری (اعضای علیالبدل ) سیده زینب حسینی نرجس حیدری تبریک به همه برگزیده شدگان 💐
Signed Reza Ravanshad
دقیقه های آخر برای تغییر مسیر و شکوفایی هرچه تمام تر.... شنیده شدن صدای حق با تک تک رای های اعتماد شما، هر یک رای برابر است با صدای رسا تر. همین الان رای بده👇👇👇 http://std.bums.ac.ir/senfi1405
Signed Reza Ravanshad
اخبار علوم پزشکی فردوس ( دانشجویی ) pinned «*دانشجویان هر دانشکده، فقط در انتخابات همان دانشکده میتوانند شرکت کنند و در صورت تخطی آرا باطل خواهد بود* 🚨 *نام کاربری و رمز عبور همانند اطلاعات سامانه دسترسی به اینترنت دانشگاه میباشد* 🚨* در صورت هرگونه مشکل با لینک شرکت در انتخابات، با مرورگر یا اینترنت…»
*دانشجویان هر دانشکده، فقط در انتخابات همان دانشکده میتوانند شرکت کنند و در صورت تخطی آرا باطل خواهد بود* 🚨 *نام کاربری و رمز عبور همانند اطلاعات سامانه دسترسی به اینترنت دانشگاه میباشد* 🚨* در صورت هرگونه مشکل با لینک شرکت در انتخابات، با مرورگر یا اینترنت دیگری امتحان نمایید.* لینک راهنما و شرکت در انتخابات 👇 http://std.bums.ac.ir/senfi1405 لینک دوم( دسترسی راحت تر ) 👇👇 https://std.bums.ac.ir/senfi1405
Signed Reza Ravanshad
سلام علیکم وقت همگی بخیر ما اینجا هستیم تا بار دیگر صدای شما ، دانشجویان عزیز را به مراجع برسانیم و بتوانیم برای بهبود شرایط و ایجاد فضای واقعی دانشجویی تلاش کنیم. ما بدون پشتوانه دانشجویان هیچ معنا و مفهومی نداریم. دلگرمیم به حضور و پای کار بودن تک تک شما. انشالله که خداوند متعال ما را در این راه نصرت عطا بفرماید. رضا روانشاد.
Signed Reza Ravanshad
💢اطلاعیه برگزاری انتخابات شورای صنفی 🔹پیرو اطلاعیه های قبلی، انتخابات شورای صنفی، فردا 29 تیرماه از از ساعت 8 صبح از طریق لینک زیر آغاز خواهد شد. دانشجویان عزیز توجه داشته باشند که جهت رای دادن به کاندیدای مورد نظر کد انتخاباتی داوطلب را در فرم رای گیری وارد نمایند و نیازی به وارد نمودن نام و نام خانوادگی داوطلب نمی باشد. 🔻لینک راهنما و شرکت در انتخابات شورای صنفی دانشجویان👇 http://std.bums.ac.ir/senfi1405 @b…
Signed Reza Ravanshad
سلام علیکم کانال خوابگاه( ابن سینا ) 👇👇👇 https://t.me/+2SuMmHs8iT0zMjE0
Signed Reza Ravanshad
💢 تمدید ثبت نام کاروان پیاده روی حضرت فاطمه زهرا(س)_اربعین۱۴۴۸ ویژه دانشجویان دانشگاه علوم پزشکی بیرجند و دانشکدههای اقماری 🗓مهلت ثبتنام: ۸ الی۱۶ تیر ماه 🛫زمان اعزام؛ ۷ الی۱۸ مرداد 💰هزینه سفر: سفر اولی:۵.۲۰۰.۰۰۰ سفر دومی:۵.۹۰۰.۰۰۰ 🚌نحوه اعزام:زمینی 📥لینک ثبتنام: https://std.bums.ac.ir/vd 👨🏻💻پشتیبانی برادران: @Arbaeen_baradaran_bums 👩🏻💻پشتیبانی خواهران: @Arbaeen_khaharan_bums 🔹طب…
Signed Reza Ravanshad
انجمن علمی فوریت های پزشکی دانشکده علوم پزشکی فردوس برگزار میکند: ✨ کارگاه زایمان✨ 🗣🎖مدرس: سرکار خانم نوذری ✨🪪 با ارائه گواهی معتبر 📅 تاریخ برگزاری کارگاه: شنبه تا دوشنبه درتاریخ۲۰تا۲۲دی ماه / ساعت۹تا۱۲صبح ❌مهلت ثبت نام : تا ۱۹دی ماه می باشد❌ 🏥مکان برگزاری کارگاه: سالن کنفرانس دانشکده علوم پزشکی فردوس ✅حضور دانشجویان فوریت ترم۴دراین کارگاه اجباری می باشد ودانشجویان علاقه مند می توانند جهت ثبتنام به آیدی زیر …
Signed Majid
📍 روایت یک روز متفاوت؛ از ایده تا اجرا ✨روز رویداد ایدهشو، پر بود از لحظههای ناب؛ از تمرکز و هیجان تیمها، تا همراهی اساتید، داوران و انرژی مثبت دانشجویان 🌱 🖼این قابها، تنها عکس نیستند؛ خاطرهای از همفکری، تلاش، یادگیری و تجربهای مشترک در مسیر نوآوریاند ✨ 🌐روابط عمومی کمیته تحقیقات دانشجویی دانشکده علوم پزشکی فردوس 🆔@SRCFerdows #ایده_شو #۲۸_آذر
Signed Media
⚜ایدهها از زبان خودشان⚜ در روز برگزاری رویداد ایدهشو، پای صحبت شرکتکنندگان، اساتید، داوران و اعضای تیم اجرایی نشستیم تا تجربهها، نگاهها و حسوحال این رویداد را از زبان خودشان بشنویم 🧠🎤 💠روایتهایی کوتاه از مسیر ایدهپردازی، چالشها، انگیزهها و دستاوردهایی که این رویداد برای هرکدام به همراه داشت🌷 🌐روابط عمومی کمیته تحقیقات دانشجویی دانشکده علوم پزشکی فردوس 🆔@SRCFerdows #ایده_شو #۲۸_آذر
Signed Media
Showing the 12 most recent of 20 posts we hold for @ferdowsunikadenews. 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 — 970,301 of 1,151,006entries 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.
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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“اخبار علوم پزشکی فردوس ( دانشجویی )” (@ferdowsunikadenews), 446 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/ferdowsunikadenews.
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.