Telegram RegisterThe public register of Telegram

Channel

موسسه فردوسی توسی

@bonyadferdowsi

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry

555subscribers

+1 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001037039455
TypeChannel
Username@bonyadferdowsi
CreatedBetween 1 February 2016 and 31 May 2016— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 6 August 2026
On Telegramt.me/bonyadferdowsi

Topic

Other / unclassifiable — 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 63% 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.

Matching posts — open both and compare (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ferdowsi_foundation/47125 May 2026, 08:20 UTC@bonyadferdowsi/5810 · this entry25 May 2026, 08:41 UTC1.0021 minutes
@bonyadferdowsi/5814 · this entry3 Jun 2026, 07:58 UTC@ferdowsi_foundation/4753 Jun 2026, 07:59 UTC1.00under a minute
@bonyadferdowsi/5821 · this entry17 Jun 2026, 01:36 UTC@ferdowsi_foundation/48217 Jun 2026, 01:37 UTC1.00under a minute
@bonyadferdowsi/5822 · this entry17 Jun 2026, 22:45 UTC@ferdowsi_foundation/48317 Jun 2026, 22:46 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ferdowsi_foundation15 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (141)

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 17 comparable posts for this entry, running 21 May 2026 to 22 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 2, the earliest publisher we hold is @bonyadferdowsi — which is this entry. 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 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

554555554.55 Aug 2026, 21:18 — 554 subscribers6 Aug 2026, 18:17 — 554 subscribers6 Aug 2026, 19:10 — 555 subscribers5 Aug 2026, 21:186 Aug 2026, 19:10
3 measurements taken within a single day, 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 554–555 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 19:10555+1
6 Aug 2026, 18:17554no change
5 Aug 2026, 21:18554first reading

Engagement

17 posts held, back to 21 May 2026the 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
60.7%
avg views ÷ 555 subscribers
Avg views / post
337
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 17 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 22 July 2026
Posts held17 (21 May 202622 July 2026)
Views total337
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 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.

Recent posts

22 Jul 2026, 23:46 UTC337 viewsread 6 August 2026
Video

پیشینه پوشاک ایرانی در دوران پیشدادی بر پایه شاهنامه فردوسی ( قسمت هشتم) به روایت: دکتر یاسر موحدفرد رییس بنیاد فردوسی ❤️ همه برای ایران ، ایران برای همه ❤️ شبکه ایران مد تی وی ؛ رسانه ی ملی تخصصی صنعت نساجی ، مد و لباس ، زیبایی ، زیورآلات ، کیف و کفش که بصورت جهانی فعالیت می نماید. اخبار و آموزش را از این شبکه پیگیری نموده و به جمع متخصصان و علاقمندان سراسر کشور بپیوندید. @iranmode.tv شماره ارتباطی: 09387644101 0

10 Jul 2026, 23:25 UTC338 viewsread 6 August 2026
Video

پیشینه پوشاک ایرانی در دوران پیشدادی بر پایه شاهنامه فردوسی ( قسمت هفتم) به روایت: دکتر یاسر موحدفرد رییس بنیاد فردوسی @yaser_movahedfard @ferdowsi_foundation به میزبانی: خانه تاریخی نصیرنظام شیراز 🌹ایران مد تی وی ، رسانه ای برای همه🌹 روبیکا: https://rubika.ir/page/Iranmodetv بله: ble.ir/join/5uZ2YBdXaJ ایتا: https://eitaa.com/joinchat/2657683041Ce16d7bb9d3 سایت 🌐iranmode.tv اینستاگرام @iranmode.tv ‏ واتساپ: https

1 Jul 2026, 00:28 UTC459 viewsread 6 August 2026
Photo

ویژه‌برنامه رادیویی مرام ایرانی در ادب پارسی؛ گفت‌وگوی اختصاصی یاسر موحدفرد رییس بنیاد فردوسی با موضوع: رمزگشایی داستان رستم و سهراب بر پایه نگره‌های حکیم فردوسی و حکیم سهروردی و داستان‌های عامیانه ایرانی برنامه صبح صبا رادیو صبا ۹ تیر ماه ۱۴۰۵ از ساعت ۷:۲۶ صبح گفت‌وگوی کامل را از ایران صدا بشنوید: http://radio.iranseda.ir/epgarchivePart/?VALID=TRUE&ch=23&e=153715166

17 Jun 2026, 22:45 UTC541 viewsread 6 August 2026
Video

پیشینه پوشاک ایرانی در دوران پیشدادی بر پایه شاهنامه فردوسی ( قسمت ششم) به روایت: دکتر یاسر موحدفرد رییس بنیاد فردوسی @yaser_movahedfard به میزبانی: خانه تاریخی نصیرنظام شیراز 🌹ایران مد تی وی ، رسانه ای برای همه🌹 روبیکا: https://rubika.ir/page/Iranmodetv بله: ble.ir/join/5uZ2YBdXaJ ایتا: https://eitaa.com/joinchat/2657683041Ce16d7bb9d3 سایت 🌐iranmode.tv اینستاگرام @iranmode.tv ‏ واتساپ: https://chat.whatsapp.com/F

17 Jun 2026, 01:36 UTC444 viewsread 6 August 2026
Video

پیشینه پوشاک ایرانی در دوران پیشدادی بر پایه شاهنامه فردوسی ( قسمت پنجم) به روایت: دکتر یاسر موحدفرد رییس بنیاد فردوسی @yaser_movahedfard به میزبانی: خانه تاریخی نصیرنظام شیراز 🌹ایران مد تی وی ، رسانه ای برای همه🌹 روبیکا: https://rubika.ir/page/Iranmodetv بله: ble.ir/join/5uZ2YBdXaJ ایتا: https://eitaa.com/joinchat/2657683041Ce16d7bb9d3 سایت 🌐iranmode.tv اینستاگرام @iranmode.tv ‏ واتساپ: https://chat.whatsapp.com/

11 Jun 2026, 19:37 UTC515 viewsread 6 August 2026
Video

پیشینه پوشاک ایرانی در دوران پیشدادی بر پایه شاهنامه فردوسی ( قسمت چهارم) به روایت: دکتر یاسر موحدفرد رییس بنیاد فردوسی @yaser_movahedfard به میزبانی: خانه تاریخی نصیرنظام شیراز 🌹ایران مد تی وی ، رسانه ای برای همه🌹 روبیکا: https://rubika.ir/page/Iranmodetv بله: ble.ir/join/5uZ2YBdXaJ ایتا: https://eitaa.com/joinchat/2657683041Ce16d7bb9d3 سایت 🌐iranmode.tv اینستاگرام @iranmode.tv ‏ واتساپ: https://chat.whatsapp.com

6 Jun 2026, 23:50 UTC435 viewsread 6 August 2026
Video

پیشینه پوشاک ایرانی در دوران پیشدادی بر پایه شاهنامه فردوسی ( قسمت سوم) به روایت: دکتر یاسر موحدفرد رییس بنیاد فردوسی @yaser_movahedfard به میزبانی: خانه تاریخی نصیرنظام شیراز 🌹ایران مد تی وی ، رسانه ای برای همه🌹 روبیکا: https://rubika.ir/page/Iranmodetv بله: ble.ir/join/5uZ2YBdXaJ ایتا: https://eitaa.com/joinchat/2657683041Ce16d7bb9d3 سایت 🌐iranmode.tv اینستاگرام @iranmode.tv ‏ واتساپ: https://chat.whatsapp.com/F

5 Jun 2026, 00:51 UTC478 viewsread 6 August 2026
Photo

ستایش جایگاه علوی در شعر و ادب پارسی گفت‌وگوی اختصاصی یاسر موحدفرد رییس بنیاد فردوسی در کاروان جشن غدیر تهران خوانش خداشناسی در شاهنامه فردوسی و نقالی عید غدیر ولایت امام علی؛ امیرعلی عطاءاللهی صبا عطاءاللهی کارشناس‌مجری: مهدی تهماسبی گزارشگر و بازیگر: ارسلان جولایی مدیر گروه ادب و هنر: منصوره کردی پخش هم‌زمان رادیویی از رادیو فرهنگ و رادیو نمایش برنامه غدیر جشن همدلی ۱۴ خرداد ۱۴۰۵ ساعت ۲۰:۴۵ این ویژه‌برنامه را

3 Jun 2026, 07:58 UTC455 viewsread 6 August 2026
Video

‏ ‏پیشینه پوشاک ایرانی در دوران پیشدادی بر پایه شاهنامه فردوسی ( قسمت دوم) به روایت: دکتر یاسر موحدفرد رییس بنیاد فردوسی 💠 صفحه اینستاگرام مدیر بنیاد فردوسی @yaser_movahedfard به میزبانی: خانه تاریخی نصیرنظام شیراز 🌹ایران مد تی وی ، رسانه ای برای همه🌹 روبیکا: https://rubika.ir/page/Iranmodetv بله: ble.ir/join/5uZ2YBdXaJ ایتا: https://eitaa.com/joinchat/2657683041Ce16d7bb9d3 سایت 🌐iranmode.tv اینستاگرام @iranmode.t

30 May 2026, 00:23 UTC827 viewsread 6 August 2026
Video

در گفت‌وگوی اختصاصی با باشگاه خبرنگاران جوان مطرح شد؛ یاسر موحدفرد دبیرکل بنیاد فردوسی: باید از مفاخر ایران باستان حمایت شود ساخت فیلم سینمایی با پروژه بزرگ از مفاخر ایران باستان قابل افتخار است... گفت‌وگوی کامل را در پایگاه خبری شاهنامه‌نیوز بخوانید... https://shahnamehnews.ir/?p=24439 💠 صفحه اینستاگرام مدیر بنیاد فردوسی www.instagram.com/yaser_movahedfard 🔷 صفحه اینستاگرام بنیاد فردوسی www.instagram.com/ferdowsi

27 May 2026, 03:07 UTC680 viewsread 6 August 2026
Video

پیشینه پوشاک ایرانی در دوران پیشدادی بر پایه شاهنامه فردوسی به روایت: دکتر یاسر موحدفرد رییس بنیاد فردوسی به میزبانی: خانه تاریخی نصیرنظام شیراز 🌹ایران مد تی‌وی، رسانه‌ای برای همه🌹 سایت 🌐iranmode.tv اینستاگرام @iranmode.tv ‏

25 May 2026, 23:27 UTC566 viewsread 6 August 2026
Video

🔹برگزاری آیین بزرگداشت حکیم ابوالقاسم فردوسی در کیش 🔸ویژه‌برنامه روز پاسداشت زبان فارسی و بزرگداشت حکیم ابوالقاسم فردوسی با سخنرانی و گفت‌وگوی اختصاصی یاسر موحدفرد رییس بنیاد فردوسی کشور ‏🆔 [خبرگزاری موج - کیش]

Showing the 12 most recent of 17 posts we hold for @bonyadferdowsi. 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 — 33,156 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.

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 2 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.

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.

“موسسه فردوسی توسی” (@bonyadferdowsi), 555 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/bonyadferdowsi.

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.