Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 22 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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.
Growth
4 measurements spanning 16 days, net +39. 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 274–326 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 12:01
319
-1
7 Sept 2026, 19:41
320
+40
30 Aug 2026, 20:44
280
no change
30 Aug 2026, 19:45
280
first reading
Engagement
20 posts held, back to 11 July 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.63%
avg views ÷ 319 subscribers
Avg views / post
27.5
15 posts measured
Reaction rate
4.71%
reactions ÷ views · ER floor
Posts in window
15
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. It is computed over the 5 of 15 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 30 August 2026
Posts held
20 (11 July 2026 – 30 August 2026)
Views total
413
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Aug 2026, 19:45 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
2m 02s
Average length
1m 01s
Measured directly from 2 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
9 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 44.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
4
44.4%
😁
3
33.3%
❤
1
11.1%
🎉
1
11.1%
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 5 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 9 reactions 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 July 2026 to 30 August 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.
اعتراض به عدم توازن و فقدان شفافیت در ظرفیتگذاری رشتههای تشخیص طبی
بر اساس جدول ظرفیت منتشرشده، ظرفیت پذیرش پاتولوژی حدود ۱۴۷ نفر، در حالی که ظرفیت دکترای علوم آزمایشگاهی تنها ۲۸ نفر اعلام شده است؛ یعنی ظرفیت یک مسیر آموزشی بیش از پنج برابر مسیر دیگر است.
این اختلاف صرفاً یک عدد نیست؛ بیانگر تفاوت قابل توجه در سرمایهگذاری آموزشی و تربیت نیروی متخصص در دو حوزه مرتبط با تشخیص آزمایشگاهی است.
اگر جامعه پزشکی معتقد…
🔻مجوز عمومی G لغو شد که نتیجهاش لغو آزمون های زبان هست!
🔹اگر مجوز عمومی D-1 هم لغو بشه همه سرویس های رایگان اینترنتی مثل ایمیل و چت و غیره هم برای ایرانی ها مسدود میشن.
🔸بهتره از همه داده هاتون به صورت آفلاین پشتیبان تهیه کنید.
https://t.me/laboratoryfellowship
همکاران گرامی،
در خصوص پیامهای جامعه پاتولوژیست(آسیب شناس) که اخیراً با مضمون «اعضا در جلسات یا برنامههای مشابه (غیر ما) شرکت نکنید» منتشر میشود، یک سؤال ساده وجود دارد:
📎 بر چه مبنای علمی، صنفی یا حرفهای باید یک متخصص علوم آزمایشگاهی را از شرکت در برنامه علمی انجمن تخصصی خودش منع کرد؟
انجمنهای علمی محل تبادل دانش و ارتقای سطح علمی اعضا هستند، نه محل تعیین اینکه اعضای یک رشته در کدام جلسه علمی شرکت کنند یا نکنند…
۱. در آمریکا مسئول آزمایشگاه الزاماً پزشک نیست
بر اساس مقررات فدرال CLIA در آمریکا، برای آزمایشگاههای با تستهای High Complexity، یکی از مسیرهای احراز صلاحیت Laboratory Director میتواند داشتن مدرک دکتری در علوم زیستی، علوم آزمایشگاهی بالینی یا Medical Technology باشد؛ بنابراین مسیر قانونی برای Laboratory Director شدن فقط MD/DO یا پاتولوژیست نیست.
حتی مقررات فعلی آمریکا صراحتاً برای فردی که دارای دکتری در Clinical …
جای تاسف شدید برای برخی از افراد که جامعه علوم آزمایشگاهی را از آزمایشگاه مجزا کرده اند.
انتساب کیفیت آزمایشگاه به پزشک یا غیرپزشک بودن مؤسس، از نظر علمی محل سؤال است. در بسیاری از نظامهای پیشرفته آزمایشگاهی، از جمله آمریکا، صلاحیت مدیریت و مسئولیت آزمایشگاه صرفاً به پزشکان محدود نشده و CLIA برای متخصصان دارای مدارک دانشگاهی مرتبط با علوم آزمایشگاهی نیز مسیرهای مشخصی برای احراز صلاحیت Laboratory Director در نظر گر…
درود جناب دکتر
زمانی که یک فرد مجاز هست در آزمون تخصص شرکت کند که صلاحیت آن فرد احراز شده باشد. اصلا نباید افراد غیر متخصص وارد این حیطه می شدند متاسفانه از سال های قبل و دهه ۶۰ و ۷۰ به علت عملکرد ضعیف گروهی از همکاران ما اجازه داد تا آزمون مستقیم بنام دکترای آزمایشگاه برگزار شود و اکنون هم تبعات آن را داریم میبینیم. خود بنده بارها دیده ام پاسخ هایی از همکاران شما دریافت کرده ام که تفسیر بسیار نامناسبی داشته است و ح…
در جواب دوست پاتو عزیز
خواستن بیان آزمون مشترک برگزار بشه و این ظرفیت 400 پاتو و 28 دوره تکمیلی برا همه تقسیم بشه
و منابع هم سوالات سبک مدنظر شما و در حیطه آزمایشگاه باشه
آزمون پاتو رو از دستیاری جدا کنید
بعدش رقابت مشخص میکنه که آزمایشگاهی تر و کی صلاحیت داره
مردش هستین بسم الله
سلام و وقت بخیر جناب افضلان!
مطالبی که شما در کانال فرمودید ایرادات زیادی دارد که بنده اشاره ای مختصر میکنم. متاسفانه بخش بزرگی از زحمات پاتولوژیست های محترم جهت رسیدن به مقطع تخصص و طی کردن تا انتهای دوره ۴ ساله و ۷ سال پزشکی در نظر نگرفته شده است . این زحمات از مواجهه مستقیم با بیمار و بالین تا کلینیک و شیفت های سنگین به همراه استرس های زیادی است تا ما آماده شویم و مسئولیت جان بیمار را پذیرا باشیم. حتی آزمون های …
۱. در آمریکا مسئول آزمایشگاه الزاماً پزشک نیست
بر اساس مقررات فدرال CLIA در آمریکا، برای آزمایشگاههای با تستهای High Complexity، یکی از مسیرهای احراز صلاحیت Laboratory Director میتواند داشتن مدرک دکتری در علوم زیستی، علوم آزمایشگاهی بالینی یا Medical Technology باشد؛ بنابراین مسیر قانونی برای Laboratory Director شدن فقط MD/DO یا پاتولوژیست نیست.
حتی مقررات فعلی آمریکا صراحتاً برای فردی که دارای دکتری در Clinical …
😁2
Showing the 12 most recent of 20 posts we hold for @fellowshiplaboratory. 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
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“فلوشیپ کانال آزمون ها” (@fellowshiplaboratory), 319 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/fellowshiplaboratory.
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.