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 55% 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. They sit inside a group of 4 channels that share the same post bodies with each other. 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 (2 of the pairs behind the counts below)
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. 1 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 24 comparable posts for this entry, running 2 August 2026 to 7 August 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 4, the earliest publisher we hold is @daromor. 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 3 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.
5 measurements spanning 6 days, net +10. 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 6,805–6,818 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 01:54
6,816
+8
9 Aug 2026, 09:53
6,808
+1
6 Aug 2026, 11:01
6,807
+1
6 Aug 2026, 03:18
6,806
no change
6 Aug 2026, 02:20
6,806
first reading
Engagement
53 posts held, back to 2 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
5.32%
avg views ÷ 6,816 subscribers
Avg views / post
362
53 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
53
of 53 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
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
53 (2 August 2026 – 11 August 2026)
Views total
19,209
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:44 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
Photos
≈12,900
Videos
≈3,090
Links
≈3,960
Lifetime counters from Telegram’s own channel header, read 12 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.
Video runtime
16m 07s
Average length
3m 13s
Measured directly from 5 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.
✍️ سهراب سهرودی، دانشآموخته جامعهشناسی
✅️ مسئلهای که این کلیپ پیش میکشد، یک پرسش ساده اما بهشدت نگرانکننده است: ارزی که باید برای تأمین داروی بیماران هزینه شود، دقیقاً چه سرنوشتی پیدا کرده است؟ وقتی همزمان با کمبود دارو، نام واردات خودروهای لوکس مانند لکسوس در روایتهای عمومی مطرح میشود، نگرانی مردم فقط درباره یک عدد یا یک خبر اقتصادی نیست؛ درباره این است که مبادا منابعی که باید به داروی سرطان، انسولین، دارو…
نوو نوردیسک، و حس قدرتمند مسئولیت اجتماعی/
شاهد از غیب رسید
🟧فنسالاران/
همین ساعتی پیش از زمین گذاشتن مسئولیت اجتماعی در برخی شرکتهای دارویی ایرانی نوشتیم!
حالا شاهد از غیب رسیدهاست؛ عملکرد مسئولانه (یعنی همان CSR) مدیران شرکت نوو نوردیسک با کاهش قیمت فاکتور ۱۳، همان اتفاقی را رقم زد که بیماران ماهها منتظرش بودند.
اطلاعیه نوو نوردیسک پارس را بخوانیم:
تأمین داروی فاکتور ۱۳ را به درخواست سازمان غذاوداروی ایران …
ردیف بودجه CSR/
الزام به شفافسازی در شرکتهای دارویی بورسی
🟧فنسالاران/
روحیه قبض و مخفیکاری کلی در برخی از شرکتهای دارویی (عمومی/ خصولتی) سرانجام به شکایاتی از این شرکتهای متخلف انجامید.
سازمان بورس اوراق بهادار هم وارد عمل شده، و پس از آن به چند شرکت نامآشنا تذکرات جدی داده است.
«به اطلاع میرساند پیرو شایعه منتشر شده در فضای مجازی مبنی بر عدم شفافیت هزینه مسئولیتهای اجتماعی آن شرکت…، طبق بند… و دستورالعم…
بررسی شرکت ورتکس/
آزمایشگاه ۱۰۰۰ دلاری که ابرقدرتی ۱۲۰ میلیارد دلاری شد
🟧مقالهای از دکتر حبیبالله افشنگ/
پرده اول:
مردی که از بهشت داروسازی فرار کرد
سال ۱۹۸۹ بود. جاشوا بوگر، یک شیمیدان ۳۵ ساله با ۱۷ پتنت ثبتشده، در یکی از بهترین جایگاههای ممکن روی کره زمین نشسته بود و زندگی میکرد. او مدیر ارشد بخش شیمی پایه در شرکت مرک بود.
مرک در آن زمان، مثل یک امپراتوری دیده میشد؛ هرکس آنجا کار میکرد، انگار در هالیوود ا…
از ارباب تا رجوع/
از گونهشناسی تا آئین اداری/۱
🟧مقالهای از امیرحسین حاجیمیری:
قبل از آنکه به سازمان غذاودارو بروم، مراجعه به ادارهها بهعنوان اربابرجوع برایم یکی از سختترین کارهای دنیا بود. نه از باب تنبلی، نه از باب بیحوصلگی و نه حتی از آن جهت که به یک اداره دولتی رفتن ذاتاً تجربهای دلانگیز نیست بلکه چون واقعاً نمیفهمیدم چرا باید برای کاری که مسیر اداری، مسئول مشخص و زمان طبیعی خودش را دارد، حضوری مراجعه…
✅️ از «۷۰۰ میلیون دلار» تا «۳۵۰ میلیون دلار»؛ قصهی تکراریِ ارزِ گمشده در راهِ دارو!
✍️ سعید نادری، دانشآموخته اقتصاد
✅️ معاون توسعه و مدیریت منابع سازمان غذا و دارو، دکتر نقی شهابیمجد، از معرفی شرکتهای تأمینکننده داروهای حیاتی و تجهیزات مصرفی پزشکی به بانک مرکزی برای دریافت ۳۵۰ میلیون دلار ارز خرید اقلام راهبردی خبر داده است. بر اساس این گزارش، از این مبلغ، ۲۵۶ میلیون دلار برای تأمین دارو و ۹۴ میلیون دلار برا…
✅️ هفتصد میلیون دلار ارز دارو کجاست!!؟
✅️ فساد تنیده در نظام سلامت در ایران؛ وقتی بیماران برای یک داروی ساده باید از این داروخانه به آن داروخانه بروند و آخرش هم دست خالی برگردند، دیگر مسئله «کمبود» نیست، مسئله این است که پول بوده، دارو نبوده، و پاسخ هم مثل همان دارو نایاب شده است. به نظر کارشناسان، تا مسیر تخصیص و مصرف ارز دارو شفاف و قابلراستیآزمایی نشود، هر وعدهای درباره درمان، فقط یک نسخه خوشخط برای دردِ بیپ…
جناب آقای حمید پاداش
معاون محترم هماهنگی و نظارت اقتصادی و زیربنایی معاون اول ریاست جمهوری
موضوع: بازگشت به مکاتبه انجمن داروسازان ایران
با سلام و احترام
بازگشت به نامه شماره ۴۴۵۳۹ مورخ ۱۴۰۵/۰۵/۰۵ منضم به نامه شماره ۱۴۶ الف / ۱۴۰۵ مورخ ۱۴۰۵/۰۴/۲۳ انجمن داروسازان ایران با موضوع بخشنامه نحوه عرضه دارو در داروخانه ها (درج قیمت فیزیکی بر روی بسته بندی)، با استناد به دلایل و مستندات مندرج در نامه انجمن داروسازان ایران،…
بیمه سلامت برای دهکهای یک تا ۵ رایگان است/
لطف بزرگ!
🟧فنسالاران/
مدیرکل بیمه سلامت استان تهران گفت:
براساس مصوبه دولت، مقرر شده از امسال دهکهای یک تا ۵ بیمه روستائیان بهصورت رایگان تداوم یابد اما دهکهای ۶ تا ۱۰ نیز مانند سایر گروهها براساس ارزیابی وسع وزارت رفاه، باید از امسال حق بیمه بپردازند.
روستائیان در دهکهای ۶ تا ۱۰ برای تمدید بیمه سلامت خود باید به سامانهها و یا دفاتر و شعب ما مراجعه کنند.
در دهک ۱۰…
گسترش پاسخ «فعلاً نداریم» از داروهای خاص به نسخههای عادی!
🟧فنسالاران/
مشکل نقدینگی داروخانهها، دسترسی را به دارو محدود کرده است. چطور!؟
داروخانه دارو را با نسخه تحویل میدهد و سهم بیمار را دریافت میکند، اما برای دریافت بخش بیمهای هزینه باید منتظر بماند.
داروخانه همزمان، برای سفارش بعدی باید بدهی شرکت پخش، حقوق کارکنان و هزینههای جاری خود را بپردازد.
وقتی مطالبات بیمهای با تأخیر بازمیگردد، حتی داروخانهای…
از اين داروخانه به آن داروخانه؛ کمبود دارو به نسخههای روزمره رسید!
🟧فنسالاران/
گزارشهای میدانی از بازار داروی ایران نشان میدهد مشکل دسترسی به دارو از اقلام وارداتی و داروهای ویژه بیماران خاص فراتر رفته و به شماری از داروهای معمول و پرمصرف نیز رسیده است.
بیماران برای تهیه داروهای اعصاب و روان، گوارشی و حتی برخی مسکنهای رایج ناچارند به چند داروخانه مراجعه کنند؛ از کلونازپام، آسنترا، آلونتا و بوسپیرون در میان دار…
Showing the 12 most recent of 53 posts we hold for @pharmacyiran. 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“کانال خبری داروسازان ایران” (@pharmacyiran), 6,816 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/pharmacyiran.
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.