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Channel

جزوات استخدامی علوم آزمایشگاهی

@Laboratory_handouts

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

10,057subscribers

+571 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002012016464
TypeChannel
Username@Laboratory_handouts
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held29
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/Laboratory_handouts

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.

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 in near-verbatim form on 2 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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
@ProfessorsBooklet/45332 Aug 2026, 15:02 UTC@Laboratory_handouts/6517 · this entry5 Aug 2026, 08:29 UTC1.003 days
@Laboratory_handouts/6685 · this entry25 Aug 2026, 13:38 UTC@ProfessorsBooklet/473225 Aug 2026, 13:38 UTC1.00under a minute
@ProfessorsBooklet/476028 Aug 2026, 07:33 UTC@Laboratory_handouts/6713 · this entry28 Aug 2026, 07:34 UTC1.00under a minute
@Laboratory_handouts/6490 · this entry1 Aug 2026, 17:12 UTC@guiton_97/100161 Aug 2026, 17:12 UTC1.00under a minute
@Laboratory_handouts/6500 · this entry3 Aug 2026, 09:49 UTC@guiton_97/100253 Aug 2026, 09:49 UTC1.00under a minute
@guiton_97/100407 Aug 2026, 10:44 UTC@Laboratory_handouts/6539 · this entry7 Aug 2026, 10:49 UTC1.005 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@ProfessorsBooklet39 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (24–15)
@guiton_975 (5/5 hand-verifiable sample passed)1.008 minutes@guiton_97 (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. 4 of the 7 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 91 comparable posts for this entry, running 27 July 2026 to 11 November 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @Laboratory_handouts — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 12 November 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

9,48210,0579,769.56 August 2026 — 9,486 subscribers6 August 2026 — 9,482 subscribers9 August 2026 — 9,522 subscribers12 August 2026 — 9,547 subscribers16 August 2026 — 9,569 subscribers19 August 2026 — 9,614 subscribers23 August 2026 — 9,612 subscribers26 August 2026 — 9,635 subscribers29 August 2026 — 9,670 subscribers31 August 2026 — 9,693 subscribers4 September 2026 — 9,735 subscribers9 September 2026 — 9,741 subscribers13 September 2026 — 9,773 subscribers17 September 2026 — 9,776 subscribers26 September 2026 — 9,777 subscribers5 October 2026 — 9,829 subscribers11 October 2026 — 9,836 subscribers14 October 2026 — 9,855 subscribers17 October 2026 — 9,876 subscribers20 October 2026 — 9,896 subscribers23 October 2026 — 9,921 subscribers27 October 2026 — 9,931 subscribers29 October 2026 — 9,972 subscribers1 November 2026 — 9,999 subscribers5 November 2026 — 10,007 subscribers6 November 2026 — 10,005 subscribers6 November 2026 — 10,004 subscribers8 November 2026 — 9,994 subscribers12 November 2026 — 10,057 subscribers6 August 202612 November 2026
29 measurements spanning 98 days, net +571. 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 9,396–10,143 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
12 Nov 2026, 15:0110,057+63
8 Nov 2026, 01:299,994-10
6 Nov 2026, 23:1510,004-1
6 Nov 2026, 01:0110,005-2
5 Nov 2026, 02:1910,007+8
1 Nov 2026, 19:089,999+27
29 Oct 2026, 20:209,972+41
27 Oct 2026, 02:469,931+10
23 Oct 2026, 22:219,921+25
20 Oct 2026, 18:519,896+20
17 Oct 2026, 11:059,876+21
14 Oct 2026, 18:299,855+19
11 Oct 2026, 18:219,836+7
5 Oct 2026, 06:209,829+52
26 Sept 2026, 14:029,777+1
17 Sept 2026, 17:589,776+3
13 Sept 2026, 14:379,773+32
9 Sept 2026, 22:009,741+6
4 Sept 2026, 10:559,735+42
31 Aug 2026, 18:349,693first reading

Engagement

118 posts held, back to 26 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 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.13%
avg views ÷ 10,057 subscribers
Avg views / post
415
30 posts measured
Reaction rate
0.249%
reactions ÷ views · ER floor
Posts in window
32
of 118 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 30 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held118 (26 July 2026 – 12 November 2026)
Views total12,463
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 10:54 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
5m 34s
Average length
1m 51s

Measured directly from 3 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

23 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 60.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1460.9%
❤939.1%

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 9 of the 118 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 118 most recent posts we hold, published 26 July 2026 to 12 November 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

Telegram’s own ‘edited’ marker: 0 of 32 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 08:50 UTC31 viewsread 12 November 2026
Forwarded from @ProfessorsBookletPhoto

🎓 دوره آمادگی مصاحبه دکتری ایمونولوژی ✨ از آزمون کتبی عبور کردید؛ حالا نوبت درخشش در مصاحبه دکتری است! ✨ 🔬 خدمتی جدید از آکادمی چکیده ایمونولوژی 🔬 شما را برای مصاحبه دکتری آماده می‌کنیم... 📚 سرفصل‌های دوره: ✅ آشنایی با ایستگاه‌های مختلف مصاحبه ✅ بررسی تکنیک‌های رایج آزمایشگاهی ایمونولوژی ✅ تحلیل نتایج و گراف‌های مقالات علمی به‌صورت کیس‌محور ✅ بررسی تست‌های آماری پرکاربرد ✅ نحوه امتیازدهی به سوابق و رزومه آمو…

11 Nov 2026, 17:41 UTC117 viewsread 11 November 2026

یک کارگاه با فرصت چاپ مقاله مشترک با استاد! برای همه دانشجوهای علوم پزشکی؛ همین الان کلمه «سیستماتیک ریویو» رو برای ادمین بفرست🩵 🌀@Pharmacy_Association_Admin

11 Nov 2026, 17:41 UTC38 viewsread 11 November 2026
Forwarded from @Pharmacy_AssociationPhoto

📚کارگاه آموزش پروژه‌محور سیستماتیک ریویو 🔎 آموزش عملی سیستماتیک ریویو و ورود به مسیر همکاری پژوهشی و نگارش مقاله 💠مدرس: 👤دکتر مائده حسن‌پور 🔵عضو هیئت علمی مرکز تحقیقات طب و داروسازی سنتی دانشکده داروسازی دانشگاه علوم پزشکی تهران 👥مخاطبین: تمام دانشجویان رشته‌های علوم پزشکی، بدون محدودیت در موضوع و رشته 🎓به همراه پشتیبانی تا انتشار مقاله برای دانشجویان مستعد و فعالِ واجد شرایط 💻 در ۶ ساعت به صورت مجازی 🎖به همراه…

11 Nov 2026, 06:37 UTC106 views1 reactionsread 12 November 2026
Forwarded from @ProfessorsBookletPhoto

🩸 منتشر شد! 🩸 📚 «گنجینه جامع سوالات هماتولوژی و بانک خون» دکتر یزدان‌دوست | جلد اول 😱 هم تست، هم نکته، هم مرور سریع! ✅ سوالات ارشد و دکتری هماتولوژی ✅ سوالات فلوشیپ علوم آزمایشگاهی ✅ سوالات تالیفی و نکته‌آموز ✅ نکات طلایی برای مرور سریع 🎯 ویژه داوطلبین ارشد، دکتری، فلوشیپ و بورد پاتولوژی 💰 فقط ۲.۵۰۰ 📩 همین حالا سفارش بده 👇 @Book_Foroush 🚚 ارسال به سراسر کشور

❤1

10 Nov 2026, 18:43 UTC19 viewsread 10 November 2026
Forwarded from @tabadllist

🪎جهت دسترسی به مجموعه‌ سوالات تستی و تشریحی به همراه پاسخ‌نامه تشریحی آزمون‌های علوم آزمایشگاهی ۱، ۲ و ۳، می‌توانید از طریق لینک‌های زیر در گروه‌ها و کانال‌های تخصصی ما عضو شوید😍 ====================== #تحلیل مصور و صوتی سوالات ۱۰ سال اخیر آزمون ژنتیک🧬 پزشکی (استاد‌ فراهانی) @genemedia

10 Nov 2026, 13:34 UTC143 viewsread 12 November 2026
Photo

📣دیگه وقتش رسیده که سرعت مطالعه‌ت رو چند برابر کنی! 📣 🔰ما در دوره تخصصی تندخوانی، بهت یاد می‌دیم چطور🔰 ♻️با تمرکز بالاتر و سرعت بیشتر ♻️حجم عظیمی از اطلاعات رو در زمان کم هضم کنی. ❌خبر خوب: تخفیف۴۰درصد ویژه دوره!❌ ⬅️قیمت پکیج با تخفیف ۴۰درصدی ۱/۸۹۹/۰۰۰➡️ ✅اما قیمت استثنااایی پکیج ویژه ۱۰نفر اول که تا پایان امروز ثبت نام کنند ۱/۷۰۰/۰۰۰✅ ‼️نکته:دوره مادام العمر در اختیارتونه‼️ 🆔ادمین ثبت نام🆔 @Aliivalizadeh 📞ک…

10 Nov 2026, 09:59 UTC131 viewsread 12 November 2026
Forwarded from @ProfessorsBookletPhoto

🔗معرفی انواع تیپ جزوات جامع بیوشیمی #دکتر کاظم‌زاده متناسب با هر رشته و ضریب #آپدیت 2026 📕 جزوات تخصصی بیوشیمی ویژه داوطلبین دکتری وزارت بهداشت (۷۰۰ صفحه) 📘 جزوات بیوشیمی ویژه داوطلبین ارشد بیوشیمی بالینی (۵۳۰ صفحه) 📒 جزوات بیوشیمی ویژه داوطلبین ارشد با ضرایب ۱ و ۲ (۴۳۰ صفحه) 📙 جزوات بیوشیمی ویژه داوطلبین ارشد و دکتری کنکور وزارت علوم (۲۷۰ صفحه) ‼️ مطابق با خط به خط منابع اعلام‌شده و تکمیل‌شده با منابع معتبر جهت ی…

9 Nov 2026, 18:33 UTC17 viewsread 9 November 2026
Forwarded from @shivapeyrovani01

📚 امشب از ساعت 22 تا 10 صبح به مدت 12ساعت جزوات رشته های زیر را به صورت رایگان در کانالها گذاشته میشه، عضویت کاملا محـدود زبان ارشد وزارت بهداشت را امسال حرفه ای تر شروع کنید👈 @drkimiazaban

9 Nov 2026, 08:28 UTC199 viewsread 12 November 2026
Forwarded from @ProfessorsBookletPhoto

📚 ارسال جزوات بیوشیمی دکتر کاظم زاده ویرایش دهم مطابق باهار پر 2026 ☎️اطلاعات بیشتر👇 @Book_Foroush لینک جوین کانال👇 https://t.me/+zt-_5c_JBAg3NDU0

8 Nov 2026, 18:37 UTC20 viewsread 8 November 2026
Forwarded from @tabadllist

جهت دسترسی به مجموعه‌ سوالات تستی و تشریحی به همراه پاسخ‌نامه تشریحی آزمون‌های علوم آزمایشگاهی ۱، ۲ و ۳، می‌توانید از طریق لینک‌های زیر در گروه‌ها و کانال‌های تخصصی ما عضو شوید ====================== 💥اگر شما هم جزو فارغ‌التحصیلان مقطع کارشناسی هستید و رویای پوشیدن روپوش سفید پزشکی را در سر دارید، این کانال دقیقاً همان جایی است که به آن نیاز دارید😍 @lisans_be_pezeshkie

8 Nov 2026, 08:01 UTC248 views1 reactionsread 12 November 2026
Forwarded from @ProfessorsBookletPhoto

✨ جزوات و کلاس‌های اساتید معروف ✨ 🔥 با تخفیف ویژه 🔥 📚 لیست جزوات موجود: 🔬 بیوشیمی — دکتر کاظم‌زاده 🛡️ ایمونولوژی و هماتولوژی — دکتر یزداندوست 🦠 میکروب، ویروس، انگل، قارچ و باکتری — دکتر کشفی 🧫 باکتری‌شناسی — دکتر شکری مقدم 🧬 زیست شناسی سلولی و مولکولی — دکتر عرب 🧬 ژنتیک پزشکی — دکتر حسنی 🧬 ژنتیک — استاد بزرگ و استاد سیدآبادی ⚗️ شیمی آلی و عمومی — دکتر نورین 📖 تندخوانی و فیزیولوژی — دکتر لطفی 🛡️ ایمونولوژی — استاد …

❤1

7 Nov 2026, 17:58 UTC155 viewsread 7 November 2026

🔴قابل توجه متقاضیان آزمون ارشد علوم پزشکی (وزارت بهداشت)1406 👇 وبینار آموزش زبان ارشد ودکتری کاملا رایگان لینک رایگان فقط و فقط برای 300 نفر اول ارسال خواهد‌شد. ✅برای دریافت لینک رایگان عدد 1 را به آیدی زیر بفرستید: 👇👇 http://T.me/heydari_languagecenter9636

Showing the 12 most recent of 118 posts we hold for @Laboratory_handouts. 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.

Posts recorded as deleted after publishing

We recorded 7 posts on @Laboratory_handouts as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
28 hours
Seen missing in the last 30 days
4

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 18 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.

گروه استخدامی علوم آزمایشگاهی
@azemayeshgahi · 11,891
7 posts
کانال زبان علوم پزشکی
@zabanAbdollahpour · 5,003
6 posts
مستر بایوکا | دکتر کاظم زاده
@bbioka · 9,594
5 posts
نکات هماتولوژی
@hematologyhub · 1,045
5 posts
آموزش زبان وزارت بهداشت از پایه تا پیشرفته
@zabanpezashki · 7,060
5 posts
️ بیوشیمی | دکتر کاظم زاده ️
@biochemistryK · 18,860
4 posts
مهارت های مطالعاتی| مایندوکا
@mindoka · 3,882
4 posts
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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 November 2026 — this entry's latest reading, not the date you are reading this.

“جزوات استخدامی علوم آزمایشگاهی” (@Laboratory_handouts), 10,057 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/Laboratory_handouts.

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.