Telegram RegisterThe public register of Telegram

Channel

بیستوری

@bistoori

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

1,526subscribers

+3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001548267598
TypeChannel
Username@bistoori
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/bistoori

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 42% 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@bistoori/237 · this entry26 Dec 2025, 06:30 UTC@dandanNegaar/241926 Dec 2025, 06:30 UTC1.00under a minute
@bistoori/238 · this entry31 Jan 2026, 05:09 UTC@dandanNegaar/242031 Jan 2026, 05:10 UTC1.00under a minute
@bistoori/241 · this entry19 May 2026, 14:48 UTC@dandanNegaar/242219 May 2026, 14:49 UTC1.00under a minute
@bistoori/248 · this entry25 Jun 2026, 19:55 UTC@dandanNegaar/242625 Jun 2026, 19:56 UTC1.0072 seconds
@bistoori/252 · this entry30 Jun 2026, 04:07 UTC@dandanNegaar/242730 Jun 2026, 04:08 UTC1.00under a minute
@bistoori/253 · this entry7 Jul 2026, 13:52 UTC@dandanNegaar/24287 Jul 2026, 13:54 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@dandanNegaar6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (60)

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 11 December 2025 to 31 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 @bistoori — 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 6 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

1,5231,5261,524.56 August 2026 — 1,523 subscribers6 August 2026 — 1,523 subscribers7 August 2026 — 1,525 subscribers10 August 2026 — 1,526 subscribers6 August 202610 August 2026
4 measurements spanning 4 days, net +3. 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 1,523–1,526 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 03:111,526+1
7 Aug 2026, 02:171,525+2
6 Aug 2026, 08:451,523no change
6 Aug 2026, 08:381,523first reading

Engagement

20 posts held, back to 11 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
146.1%
avg views ÷ 1,526 subscribers
Avg views / post
2,230
1 post measured
Reaction rate
0.135%
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 31 July 2026
Posts held20 (11 December 202531 July 2026)
Views total2,230
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:10 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.

What this channel posts

Video runtime
25m 59s
Average length
2m 36s

Measured directly from 10 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

46 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 89.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4189.1%
🙏48.70%
👎12.17%

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 15 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 46reactions 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 11 December 2025 to 31 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

31 Jul 2026, 15:32 UTC≈2,230 views3 reactionsread 7 August 2026
Photo

🟩 بیستوری ۱۲۱| دکتر آرش خجسته مهمان اپیزود تازه ما دکتر #آرش_خجسته، متخصص جراحی دهان، فک و صورت و از پژوهشگران شناخته‌شده این رشته است. او سال‌ها در کنار فعالیت‌های درمانی و آموزشی، مسئولیت‌های مهمی را نیز بر عهده داشته؛ از معاونت پژوهشی دانشکده دندان‌پزشکی دانشگاه علوم پزشکی شهید بهشتی گرفته تا ریاست دانشکده فناوری‌های نوین این دانشگاه و سرپرستی دانشگاه علوم پزشکی هوشمند در ایران. اما آنچه دکتر خجسته را از بسیاری ا

🙏21

7 Jul 2026, 13:52 UTC≈3,750 views3 reactionsread 7 August 2026
Video

🟩 بیستوری ١١٩| دکتر عزت‌الله جلالیان مهمان اپیزود ۱۱۹ بیستوری، دکتر عزت‌الله جلالیان است؛ متخصص پروتزهای دندانی، استاد دانشکده دندان‌پزشکی آزاد تهران و از پژوهشگران شناخته‌شده این رشته که نامش در مقالات متعدد ژورنال‌های معتبر پروستودنتیکس دیده می‌شود. اما این گفت‌وگو فقط درباره مقاله، پژوهش و دندان‌پزشکی نیست. این بار مسیر زندگی مردی را دنبال می‌کنیم که از مهندسی مکانیک آغاز کرد، به دندان‌پزشکی رسید، راه تخصص پروتز

3

30 Jun 2026, 04:07 UTC≈3,410 views7 reactionsread 7 August 2026
Video

🟩 بیستوری ١١۸| دکتر محمد درهمی دکتر محمد درهمی متخصص پروتزهای دندانی و استاد دانشکده دندان‌پزشکی مشهد و یکی از محبوب‌ترین و کاریزماتیک‌تربن اساتید این دانشکده است استادی که کلاس‌هایش تنها محل انتقال دانش نیست؛ جایی ست برای آموختن شیوه اندیشیدن، اخلاق حرفه‌ای و نگاهی عمیق‌تر به زندگی. بیان شیوا، دانش گسترده و توانایی کم‌نظیر او در برقراری ارتباط با دانشجویان، کلاس‌هایش را همیشه پرشور و پرجمعیت می‌کند. اما آنچه بیش ا

7

29 Jun 2026, 06:31 UTC≈3,080 views5 reactionsread 7 August 2026
Photo

🟩 بیستوری ١١۸| دکتر محمد درهمی دکتر محمد درهمی را دانش‌آموختگان دانشکده دندان‌پزشکی مشهد، یکی از کاریزماتیک‌ترین و اثرگذارترین استادان این دانشکده می‌دانند. استادی که کلاس‌هایش تنها محل انتقال دانش نیست؛ جایی ست برای آموختن شیوه اندیشیدن، اخلاق حرفه‌ای و نگاهی عمیق‌تر به زندگی. بیان شیوا، دانش گسترده و توانایی کم‌نظیر او در برقراری ارتباط با دانشجویان، کلاس‌هایش را همیشه پرشور و پرجمعیت می‌کند. اما آنچه بیش از هر چی

4👎1

25 Jun 2026, 19:55 UTC≈3,100 viewsread 7 August 2026
Video

🟩 بیستوری ١١٧| فوتبال و دندان‌پزشکان خاطره بازی فوتبالی دندان‌پزشکان به بهانه جام جهانی فوتبال ٢٠٢۶ در خانواده دندان‌پزشکی کم نیستند کسانی که فوتبال بخشی از زندگی‌شان بوده است؛ از زمین‌های خاکی کودکی تا سکوهای ورزشگاه‌ها، از کل‌کل‌های همیشگی استقلال و پرسپولیس تا اشک‌ها و لبخندها برای برد و باخت تیم ملی. خاطراتی که گاهی هیچ ارتباطی با دندان‌پزشکی ندارند، اما بخشی از هویت صاحبان این حرفه را ساخته‌اند. در اپیزود ۱۱۷

17 Jun 2026, 11:41 UTC479 viewsread 7 August 2026
Photo

🟩 بیستوری ١١۶| دکتر ناصر نجمی| بخش اول ⁨ ⁨ ⁨ ⁨ پروفسور #ناصر_نجمی، پزشک، دندان‌پزشک، جراح دهان فک و صورت و فوق تخصص جراحی زیبایی و استاد برجسته دانشگاه از کشور بلژیک مهمان اپیزود صد و شانزدهم پادکست بیستوری ست. او یکی از سرشناس ترین چهره‌های علوم‌پزشکی ایرانی در جهان است. عمده شهرت او بابت روش منحصر به فردش در جراحی و درمان کودکان مبتلا به شکاف کام و لب است که عمده آنها به شکل رایگان و خیریه در کشورهای مختلف جهان و

16 Jun 2026, 03:52 UTC≈2,790 views0 reactionsread 7 August 2026
Video

🟩 بیستوری ١١۶| دکتر ناصر نجمی| بخش اول ⁨ ⁨ ⁨ ⁨ پروفسور #ناصر_نجمی، پزشک، دندان‌پزشک، جراح دهان فک و صورت و فوق تخصص جراحی زیبایی و استاد برجسته دانشگاه از کشور بلژیک مهمان اپیزود صد و شانزدهم پادکست بیستوری ست. او یکی از سرشناس ترین چهره‌های علوم‌پزشکی ایرانی در جهان است. عمده شهرت او بابت روش منحصر به فردش در جراحی و درمان کودکان مبتلا به شکاف کام و لب است که عمده آنها به شکل رایگان و خیریه در کشورهای مختلف جهان و

12 Jun 2026, 12:21 UTC≈3,100 views2 reactionsread 7 August 2026
Video

🟩 بیستوری ١١۴| دکتر عبدالجواد رحیم‌پور ⁨ دکتر عبدالجواد رحیم‌پور، مرد آرام، باوقار و خستگی‌ناپذیر دندان‌پزشکی ایران، از جمله چهره‌هایی است که بیش از پنجاه سال حضور مستمر و فعال در حوزه صنفی دندان‌پزشکی داشته است. او طی چندین دوره عضو هیئت‌مدیره جامعه دندان‌پزشکی ایران بوده و نزدیک به پانزده سال نیز در جایگاه خزانه‌دار این تشکل علمی ـ صنفی فعالیت کرده است. دکتر رحیم‌پور که همواره دغدغه‌مند علم و آموزش بوده، بارها بر

2

5 Jun 2026, 05:35 UTC≈3,820 viewsread 7 August 2026
Video

🟩 بیستوری ١١۵| آنچه گذشت روایت و خاطرات دندانپزشکان از روزهای سیاهی که پشت سر گذاشتیم همه ما به عنوان یک ایرانی در تجربه روزهای سیاه زمستان ١۴٠۴ شبیه و همراه هم بودیم اما قطعا درک هر کداممان از این اتفاقات بر مبنای تجربیات شخصی و زیسته این چند ماهه با هم متفاوت است. حالا که یکی دو ماهی از هجوم این اتفاقات گذشته شاید بتوان از فاصله دور تر و بالاتری بر آنچه که گذشت نظر انداخت و خاطرات و تجربیات را مرور کرد. پس در این

29 May 2026, 06:49 UTC562 viewsread 7 August 2026
Video

🟩 بیستوری ١١٣| سه تفنگدار اپیزود ۱۱۳ بیستوری، روایت سه نام آشنا در دندانپزشکی ترمیمی ایران است؛ سه استاد پیشکسوت از دانشکده دندانپزشکی دانشگاه علوم پزشکی مشهد که سال‌هاست نامشان کنار هم شنیده می‌شود دکتر محمد علوی بجستانی، دکتر محمد حسین فرتاش طلوع، و دکتر احمد قنادان رفاقتی که از سال‌های دانشجویی آغاز شد، در سال‌های تدریس و عضویت هیئت علمی در دانشکده دندانپزشکی مشهد ادامه پیدا کرد و حتی پس از بازنشستگی هم متوقف نشد

Showing the 12 most recent of 20 posts we hold for @bistoori. 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 — 88,967 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

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 3 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.

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

“بیستوری” (@bistoori), 1,526 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/bistoori.

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.