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Channel

جزوات استخدامی علوم آزمایشگاهی

@Laboratory_handouts

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

9,741subscribers

+255 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

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 live9 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 9 September 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 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
@ProfessorsBooklet/45301 Aug 2026, 17:12 UTC@Laboratory_handouts/6490 · this entry1 Aug 2026, 17:12 UTC1.00under a minute
@ProfessorsBooklet/45332 Aug 2026, 15:02 UTC@Laboratory_handouts/6517 · this entry5 Aug 2026, 08:29 UTC1.003 days
@ProfessorsBooklet/45413 Aug 2026, 09:49 UTC@Laboratory_handouts/6500 · this entry3 Aug 2026, 09:49 UTC1.00under a minute
@ProfessorsBooklet/45564 Aug 2026, 15:24 UTC@Laboratory_handouts/6512 · this entry4 Aug 2026, 15:24 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ProfessorsBooklet9 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (63)

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 3 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 15 comparable posts for this entry, running 27 July 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 2, the earliest publisher we hold 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 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

9,4829,7419,611.56 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 subscribers6 August 20269 September 2026
12 measurements spanning 34 days, net +255. 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 9,443–9,780 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Sept 2026, 22:009,741+6
4 Sept 2026, 10:559,735+42
31 Aug 2026, 18:349,693+23
29 Aug 2026, 03:039,670+35
26 Aug 2026, 10:349,635+23
23 Aug 2026, 11:049,612-2
19 Aug 2026, 12:279,614+45
16 Aug 2026, 08:169,569+22
12 Aug 2026, 14:349,547+25
9 Aug 2026, 21:539,522+40
6 Aug 2026, 17:209,482-4
6 Aug 2026, 13:469,486first reading

Engagement

79 posts held, back to 26 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 36 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.58%
avg views ÷ 9,741 subscribers
Avg views / post
153
46 posts measured
Reaction rate
0.279%
reactions ÷ views · ER floor
Posts in window
46
of 79 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 1 of 46 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 29 August 2026
Posts held79 (26 July 202629 August 2026)
Views total7,059
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 05:33 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

17 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 82.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1482.4%
317.6%

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 3 of the 79 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 79 most recent posts we hold, published 26 July 2026 to 29 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.

Recent posts

29 Aug 2026, 04:33 UTC8 viewsread 29 August 2026
Forwarded from @shivapeyrovani01

🫵 یه خبر عالی برای دانشجویان ارشد دکتری وزارت بهداشت، پکیج جمع بندی اساتید معتبر لو رفت جهت ورود به پکیج جمع بندی لو رفته وارد لینک زیر بشید 👇 https://t.me/addlist/TRp3xECstCo2ZDU5 https://t.me/addlist/EcCpSCF7Jno4MjU0

28 Aug 2026, 18:39 UTC25 viewsread 29 August 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 https://t.me/addlist/TRp3xECstCo2ZDU5

28 Aug 2026, 17:31 UTC36 viewsread 29 August 2026
Forwarded from @WIKI1GENE

خدمات ارائه کارگاه های اموزشی به کاراموزان گرامی نیز مهیا میباشد. مشهد، بلوار منتظری، ساختمان زیست بوم خیام، شرکت مازلب

28 Aug 2026, 17:31 UTC39 viewsread 29 August 2026
Forwarded from @maazlabPhoto

مرکز مازلب ارائه‌دهنده‌ی خدمات یکپارچه در حوزه‌های آزمایشگاهی، بیوانفورماتیک، آنالیز آماری و مشاوره‌ی پایان‌نامه و مقاله 🔬 بخش آزمایشگاهی: - استخراج و سنجش کیفی اسیدهای نوکلئیک و پروتئین - Real-Time PCR، الایزا، کشت سلول، PCR - سنتز نانوذرات، رنگ آمیزی و برش بافت‌شناسی، تست های میکروب‌شناسی - انجام پروژه‌های سفارشی 🧬 بخش بیوانفورماتیک: - آنالیز بیان ژن و مسیرهای زیستی - داکینگ مولکولی و شبیه‌سازی دینامیک مولکولی -

28 Aug 2026, 13:31 UTC77 viewsread 28 August 2026
Photo

اگر آزمایشگاه کار می کنی، این فرصت از دست نده 👇👇👇👇 https://t.me/+PNI6V_Pp0FNbBdEc https://t.me/+PNI6V_Pp0FNbBdEc

28 Aug 2026, 12:42 UTC18 viewsread 28 August 2026
Forwarded from @sigmalab_qc

دسترسی رایگان به جزوات، کلاس‌ها و مشاوره بدون هزینه👇📚 🔗https://t.me/addlist/O6LU-Jh7mV81OWU0

28 Aug 2026, 07:34 UTC260 viewsread 29 August 2026
Photo

📣ثبت‌نام دوره جامع زبان استاد عبداله پور راد (۱۴۰۶-۱۴۰۷) آغاز شد📣 ✔️مجموعه استاد کاظم زاده✔️ 👇تمام چیزی که برای درصد بالای زبان وزارت بهداشت نیاز داری اینجاست👇 ✅ آموزش ویدیویی (آفلاین) + جزوه‌ی خط‌به‌خط (درب منزل) ◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️ ✅ تحلیل دقیق تست‌های سال ۸۳ تا۱۴۰۳ ◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️ ✅ عضویت در کانال رفع‌اشکال + بانک تست جامع ◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️◽️ ✅ تکنیک‌های طلایی درک مطلب و لغت (۵۰۴ و ۱۱۰۰)

27 Aug 2026, 12:09 UTC109 viewsread 27 August 2026

گروه مشاوره تحصیلی مقاطع کارشناسی ارشد و دکتری وزارت بهداشت 🎓👇 https://t.me/The_ABCs_QA @The_ABCs_QA

27 Aug 2026, 08:53 UTC376 viewsread 29 August 2026

کانالی که دنبالشی همینه!👆 حتماً یه سر بزن، پشیمون نمیشی 🙌

27 Aug 2026, 08:37 UTC666 viewsread 29 August 2026

کانال روانشناسی نیاز برای رفع نیازهای همکاران (کاریابی، مهاجرت، ارشد و دکترا، اخبار استخدامی)👇 @psychologyniaz

26 Aug 2026, 18:32 UTC8 viewsread 27 August 2026
Forwarded from @shivapeyrovani01

سلام مدیریت کانال هستم لطفا مقطع تحصیلی خود را انتخاب نموده و Join را بزنید✅ خبرهای خوشی برای شما در راه است🤗

Showing the 12 most recent of 79 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.

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 19 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.

نکات هماتولوژی
@hematologyhub · 585
4 posts
کانال زبان علوم پزشکی
@zabanAbdollahpour · 4,705
4 posts
آموزش زبان وزارت بهداشت از پایه تا پیشرفته
@zabanpezashki · 6,658
4 posts
گروه استخدامی علوم آزمایشگاهی
@azemayeshgahi · 11,750
3 posts
مستر بایوکا | دکتر کاظم زاده
@bbioka · 9,531
3 posts
مهارت های مطالعاتی| مایندوکا
@mindoka · 3,665
3 posts
نیازمندی های جامعه روانشناسی
@psychologyniaz · 258
3 posts
آموزش ایمونـولـوژی | جوادرجبی
@IMMUNOLOGY_Education · 6,230
2 posts
🎯 رابین ویژن | تقویت رزومه | دکتری اپلای 🎯
@robin_vision · 2,569
2 posts
SciBridge Academy موسسه علمی پژوهشی
@scibridge_academy · 3,364
2 posts
Sefidpoushaneiran1
@sefidpoushaneiran1 · 904
2 posts
🚨کتابکده آرسو-ارسال کتب پزشکی به سراسرایران🚨
@Arso0ketabkade · 9,238
1 post
🧬 اِمِری پلاس ➕ژنتیک پزشکی
@EmeryPlus · 9,722
1 post
آکادمی ایمونولوژی گاما
@Gamma_Immunology · 2,586
1 post
⭐️ فیزیولوژی || پزشکی ⭐️
@guiton_97 · 10,335
1 post
Iran Biotech House
@irbiotechhouse · 1,227
1 post
Sefidpoushaneiran2
@sefidpoushaneiran2 · 237
1 post
Sefidpoushaneiran4
@sefidpoushaneiran4 · 103
1 post
Sefidpoushaneiran6
@sefidpoushaneiran6 · 123
1 post
Sefidpoushaneiran5
@sefipoushaneiran5 · 95
1 post
ویروس شناسی پزشکی دکتر پویا مرادی
@virology_moradi · 6,567
1 post
🔬 پایگاه آزمایشگاهی ایران
@wwwlabworldir · 10,994
1 post

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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“جزوات استخدامی علوم آزمایشگاهی” (@Laboratory_handouts), 9,741 subscribers as measured 9 September 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.