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Channel

علوم پایه پزشکی و دندان‌پزشکی

@oloompaye

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

22,171subscribers

-64 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-1001114964200
TypeChannel
Username@oloompaye
Descriptionهر چیزی که از ترم اول تا آزمون علوم پایه نیاز داری... مشاوره: @oloompaye_admin پشتیبانی و خرید: @IMC_admin سایت: iranmedclub.com
CreatedBetween 1 February 2017 and 31 December 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/oloompaye

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@oloompaye/10610 · this entry23 Aug 2026, 11:39 UTC@pre_interni/831723 Aug 2026, 11:40 UTC1.00under a minute
@oloompaye/10644 · this entry25 Aug 2026, 06:22 UTC@pre_interni/834125 Aug 2026, 06:22 UTC1.00under a minute
@oloompaye/10645 · this entry25 Aug 2026, 07:24 UTC@pre_interni/834225 Aug 2026, 07:25 UTC1.00under a minute
@iranmedclub_com/301517 Aug 2026, 12:03 UTC@oloompaye/10557 · this entry17 Aug 2026, 12:14 UTC1.0011 minutes
@oloompaye/10645 · this entry25 Aug 2026, 07:24 UTC@iranmedclub_com/301925 Aug 2026, 07:25 UTC1.00under a minute
@iranmedclub_com/302227 Aug 2026, 06:22 UTC@oloompaye/10665 · this entry27 Aug 2026, 06:25 UTC1.003 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
@pre_interni23 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (20–3)
@iranmedclub_com13 (8/8 hand-verifiable sample passed)1.0072 seconds@iranmedclub_com (12–1)

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. 5 of the 5 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 280 comparable posts for this entry, running 3 August 2026 to 10 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 3 channels, the one whose matching posts we hold earliest is @Meducation_channel. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 11 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 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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

22,14022,80322,471.522,1716 August 202610 November 2026
64 measurements spanning 97 days, net -64. 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 22,041–22,902 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 22:5722,171+18
9 Nov 2026, 07:1522,153-1
7 Nov 2026, 21:2022,154+5
6 Nov 2026, 15:5122,149+9
5 Nov 2026, 13:4922,140-31
4 Nov 2026, 15:5922,171+3
3 Nov 2026, 15:0122,168+2
2 Nov 2026, 13:4922,166+3
1 Nov 2026, 14:2822,163-5
31 Oct 2026, 13:2622,168-4
30 Oct 2026, 13:3622,172-10
29 Oct 2026, 15:4422,182-3
28 Oct 2026, 14:3822,185-5
27 Oct 2026, 14:4922,190-20
26 Oct 2026, 14:3022,210-1
25 Oct 2026, 17:1622,211-22
24 Oct 2026, 19:5822,233-17
23 Oct 2026, 22:3522,250-19
22 Oct 2026, 21:1722,269-24
21 Oct 2026, 15:3622,293first reading

Engagement

430 posts held, back to 3 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 107 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.62%
avg views ÷ 22,171 subscribers
Avg views / post
2,130
60 posts measured
Reaction rate
0.615%
reactions ÷ views · ER floor
Posts in window
60
of 430 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 54 of 60 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 10 November 2026
Posts held430 (3 August 2026 – 10 November 2026)
Views total127,984
Reactions total713
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:04 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
≈2,530
Videos
≈812
Links
≈4,710

Lifetime counters from Telegram’s own channel header, read 11 November 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 01s
Average length
27s

Measured directly from 35 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

5,256 reactions across 364 posts, in 13 distinct kinds. The most used accounts for 43.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,27343.2%
💔89817.1%
😁83515.9%
🔥2965.63%
👀2835.38%
🌚1583.01%
👌1292.45%
👏951.81%
❤‍🔥851.62%
🤯731.39%
😍561.07%
👨‍💻480.913%
🏆270.514%

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 396 of the 430 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 5,441 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 430 most recent posts we hold, published 3 August 2026 to 10 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: 22 of 60 posts held from the last 30 days (36.7%) 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).

10 Nov 2026, 14:56 UTC779 views9 reactionsread 11 November 2026
File

جزوه آناتومی گوارش دانشگاه علوم پزشکی تهران #جزوه علوم‌پایه پزشکی و دندانپزشکی ـــــــــــــــــــــــــــــ 📱اینستاگرام | 📱تلگرام علوم‌پایه

❤9

10 Nov 2026, 14:56 UTC798 views9 reactionsread 11 November 2026
File

جزوه آناتومی گوارش دانشگاه علوم پزشکی ایران #جزوه علوم‌پایه پزشکی و دندانپزشکی ـــــــــــــــــــــــــــــ 📱اینستاگرام | 📱تلگرام علوم‌پایه

❤9

10 Nov 2026, 14:55 UTC817 views10 reactionsread 11 November 2026
File

جزوه آناتومی گوارش دانشگاه علوم پزشکی شهید بهشتی #جزوه علوم‌پایه پزشکی و دندانپزشکی ـــــــــــــــــــــــــــــ 📱اینستاگرام | 📱تلگرام علوم‌پایه

❤10

10 Nov 2026, 14:53 UTC820 views5 reactionsread 11 November 2026

سلام رفقا 🌟 عصر سه‌شنبه‌تون بخیر ☀️ انقدر استقبالتون خوب بود که ترغیبمون کردید بازم براتون جزوه بذاریم 📚 امروز اومدم با جزوه‌های آناتومی گوارشی ۳ دانشگاه تهران 🩺 امیدوارم ازش استفاده کامل و خوب کنید و برای اینکه به ما انرژی بدید ریکشن‌ها رو بترکونید 🚀 #جزوه 🧑‍⚕محمد پارسا علوم‌پایه پزشکی و دندانپزشکی ـــــــــــــــــــــــــــــ 📱اینستاگرام | 📱تلگرام علوم‌پایه

❤5

9 Nov 2026, 18:16 UTC≈1,320 views11 reactionsread 11 November 2026
File

جزوه آناتومی بافت نرم دانشگاه علوم‌پزشکی ایران #جزوه

❤10🔥1

9 Nov 2026, 18:15 UTC≈1,330 views11 reactionsread 11 November 2026
File

جزوه آناتومی بافت سخت دانشگاه علوم‌پزشکی ایران #جزوه

❤11

9 Nov 2026, 18:14 UTC≈1,320 views7 reactionsread 11 November 2026
File

جزوه آناتومی سروگردن دانشگاه علوم پزشکی شهید بهشتی #جزوه

❤6🔥1

9 Nov 2026, 18:13 UTC≈1,260 viewsread 11 November 2026

سلام رفقا شبتون بخیر 🌙 یه مقاله ای براتون آماده کرده بودیم که توش جزوه‌های آناتومی دانشگاه‌های تهران رو با هم مقایسه کردیم 📚 خیلیا گفتید که جزوه‌ها رو بذارید که خودمون هم ببینیم و بتونیم با توجه به نیازمون ازش استفاده کنیم ✍️ با آناتومی سروگردن شروع می‌کنیم و کم‌کم همه جزوه‌های آناتومی رو می‌ذاریم 🦴 پ.ن: اگه از دانشگاه‌های تهران یا ایران هستید و به جزوه‌های آناتومیتون دسترسی دارید برامون بفرستید ممنون 🙏 #جزوه 🧑‍⚕مح…

9 Nov 2026, 17:59 UTC≈1,140 views3 reactionsread 11 November 2026

🟣 مقایسه و تحلیل باکتری‌شناسی آزمون‌های ۱۴۰۴ و ۱۴۰۵ 🔁 مباحث تکرارشونده در دو آزمون کدوما هستن؟👇🏻 🔹 توکسین‌ها و بیماری‌زایی: اندوتوکسین، اگزوتوکسین A، مکانیسم اثر توکسین دیفتری و سودوموناس 🔹 لیستریا: گرانولوماتوزیس اینفانتی‌سپتیکا و عفونت بارداری 🔹 مهار سنتز پروتئین: گروه‌های آنتی‌بیوتیکی و مکانیسم اثر فاکتورهای باکتریایی 🔹 باکتری‌های گرم منفی: ویژگی‌های ساختاری، بیوشیمیایی و بیماری‌زایی 🔹 ویژگی‌های اختصاصی باک…

❤3

9 Nov 2026, 17:57 UTC≈1,190 views4 reactionsread 11 November 2026

🟣 تحلیل باکتری‌شناسی آزمون مهر ۱۴۰۵ 📝 رشته پزشکی و دندان‌پزشکی 🩺🦷 ❗️ بودجه‌بندی مباحث و نکات مطرح‌شده در آزمون به این صورته 👇🏻 📚 باکتری‌شناسی پزشکی: ۱۵ سؤال 🔹 مخازن عفونت سالمونلا و نقش ناقلین در انتقال بیماری 🔹 نقش فلور طبیعی در نوزادان و تولید ویتامین K1 🔹 پروتئین‌های شبه‌کراتین (Keratin-like Proteins) و ساختار باکتریایی 🔹 واکسن‌های مناسب کودکان زیر ۳ سال 🔹 کاربرد رنگ‌آمیزی گیمسا (Giemsa stain) در تشخیص بیما…

❤4

9 Nov 2026, 07:12 UTC≈1,340 views6 reactionsread 11 November 2026

سلام رفقا ☀️ اولین صبح آفتابی هفتتون بخیر 🌞 آماده بترکونی امروزو؟ 💪 علوم‌پایه پزشکی و دندانپزشکی ـــــــــــــــــــــــــــــ 📱اینستاگرام | 📱تلگرام علوم‌پایه

👀5🔥1

7 Nov 2026, 20:31 UTC≈1,910 views2 reactionsread 11 November 2026
Photo

با این درصدی که درست جواب دادید، معلومه که سوال‌های مهر براتون راحت بوده 😎✨ اینم یه فلش کارت کامل برای اون بچه‌هایی که نکته‌ی ریز از دستشون در رفته 📝💡 🧑‍⚕محمد پارسا علوم‌پایه پزشکی و دندانپزشکی ـــــــــــــــــــــــــــــ 📱اینستاگرام | 📱تلگرام علوم‌پایه

❤2

Showing the 12 most recent of 430 posts we hold for @oloompaye. 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 edited after publishing

@oloompaye edited 7 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
24 August 2026
Most recent edit
10 November 2026

Posts recorded as deleted after publishing

We recorded 14 posts on @oloompaye 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
9 August 2026
Most recent seen missing
9 October 2026
Median time before seen missing
38 hours
Seen missing in the last 30 days
0

Polls

The 6 most recent of 17 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

7 Nov 2026, 18:22 UTCAnonymous Poll228 voters

بچه‌هایی که دنبال نمره بالایین اوضاع خوبه؟ استارت زدین دیگه ایشالا🌚

  1. شروع کردم و مطابق برنامه جداگانه‌ای‌ که از قبل داشتم دارم پیش میرم 🙌😊21%
  2. اره از همون موقع با برنامه لجند استارت زدم و شخصی سازیش کردم 💪🔥4%
  3. هنوز نتونستم درست پلن لجند رو بکاربگیرم و منظم پیش نرفتم💔 (یادت نره که مارو داری واسه همین مواقع🫶)30%
  4. همچنان در زُمره ((take it easy، حالا بعدا میخونیم)) قرار دارم🙂‍↕️😁46%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

27 Oct 2026, 19:04 UTCAnonymous Quiz406 voters

مرد ۶۰ ساله‌ای با تب، سرفه خشک و تنگی نفس و پنومونی‌ مراجعه می‌کند. او می‌گوید یک هفته قبل در هتلی اقامت داشته که سیستم تهویه و برج خنک‌کننده (Cooling Tower) آن به‌تازگی راه‌اندازی شده بود.و روی محیط BCYE رشد می‌کند.محتمل‌ترین عامل بیماری؟

  1. Streptococcus pneumoniae20%
  2. Mycoplasma pneumoniae23%
  3. Legionella pneumophila48%
  4. Haemophilus influenzae9%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

9 Oct 2026, 17:54 UTCAnonymous Quiz336 voters

مردی با سابقه گزش کک، با تب بالا، لرز و تورم دردناک غدد لنفاوی مراجعه می‌کند. بیماری پیشرفت کرده و بیمار دچار مننژیت و انعقاد منتشر داخل عروقی (DIC) می‌شود. عامل ایجادکننده بیماری کدام است؟🧫

  1. Yersinia pestis49%
  2. Yersinia enterocolitica21%
  3. Francisella tularensis22%
  4. Pasteurella multocida8%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

1 Oct 2026, 08:38 UTCAnonymous Poll171 voters

سلامممم👋 همونطور که در جریانید برای آزمون امسال یکسری برنامه مطالعاتی اصولی براتون قرار دادیم که بتونید ازش استفاده کنید و یا الگو بگیرین. حالا راجع به آخرین مورد که پلن پاسی برای آزمون مهر ماه بود، چند نفر تونستین مطابق پلن پیش برین و ازش بهره ببرین؟💫

  1. تمام و کمال باهاش پیش رفتم😎🔥5%
  2. شخصی سازی کردم ولی قالب کلی برنامه رو حفظ کردم👌8%
  3. داشتم با برنامه پیش می‌رفتم ولی نشد تا تهش ادامه بدم😶 (اگر دوست داشتی علتش رو تو ناشناس بگو😇)8%
  4. کلا برنامه‌ریزی جداگونه‌ای داشتم🤝78%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

27 Sept 2026, 16:10 UTCAnonymous Poll1,730 voters approx.

بچه های دندون، با توجه به کلید نمره‌تون چند میشه؟؟

  1. بالای ۱۵۰6%
  2. ۱۳۰ تا ۱۴۹7%
  3. ۱۰۰ تا ۱۲۹15%
  4. ۹۰ تا ۹۹6%
  5. ۸۰ تا ۸۹6%
  6. ۷۰ تا ۷۹4%
  7. ۶۰ تا ۶۹1%
  8. ۵۰ تا ۵۹1%
  9. زیر ۵۰1%
  10. دیدن نتایج53%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

27 Sept 2026, 08:20 UTCAnonymous Poll862 voters

سلام بچه ها 🥰 چه خبر ؟ در چه حالین ؟!🧐

  1. استراحت بعد از آزمون 😴32%
  2. منتظرم تا کلید آزمون بیاد 📝54%
  3. بهمن علوم پایه دارم ✌🏻17%
  4. دارم برنامه میچینم 😎6%

The shares total 109%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 430 most recent posts we hold, published 3 August 2026 to 10 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

علوم پایه | مدوفست
@medofast_oloompaye · 23,080
#1
Medical University 🏛⚕
@medicaluniversity · 83,321
#2
توییتر دانشجویان علوم پزشکی
@medtweeet · 85,313
#3
مدیکالیسم | medicalism
@Doctor_MIB_iran · 40,372
#4
The Scrub Society
@Olumpaye1 · 15,217
#5
علوم پایه مدتست
@medtest2 · 11,396
#6
علوم پایه ۹۹
@Olumpaye99 · 25,583
#7
DrVoice
@Gums1401A · 4,614
#8
UNI
@uni1401 · 3,517
#9
Medical Mehregan 🩺 (علوم پایه)
@medical_mehregan · 5,612
#10
ایران‌مدکلاب
@iranmedclub_com · 11,311
#11
علوم پایه پزشکی و دندانپزشکی
@oloom_payeh · 8,799
#12
کار دانشجویی علوم پزشکی | مدیلنسر
@medilancer · 98,872
#13
Funical
@Funical · 13,593
#14
بیوشیمی علوم پایه پزشکی و دندانپزشکی
@Oloumpayebiochem · 4,578
#15
Termocyclin | ترموسایکلین
@Termocyclin · 6,601
#16
اطلاع رسانی پزشکی تهران ۱۴۰۲
@Mednews1402 · 4,603
#17
Medical Jozveh
@medical_jozveh_channel · 127,247
#18
Med Uni Eteraz ✊🏻
@MedUniEteraz · 10,514
#19
کوییز روزانه علوم پایه
@medicinquiz · 1,898
#20
دانشجویان علوم پزشکی
@medicall_students · 79,695
#21
پُست کشیک
@postkeshik · 39,412
#22
Mediophil
@jozvealef1401 · 6,996
#23
نمونه سوالات علوم پایه | مدوفیل
@meduphil · 3,144
#24
آکادمی بِیس‌تلنت
@Base_Talent · 6,280
#25
TUMS-Write | تامز-رایت
@tums_write1401 · 8,717
#26
medistU | مدیستیو
@medistU · 54,112
#27
مِد وی ן Med Way
@medico_way · 16,009
#28
علمی پزشکی ورودی مهر۱۴۰۱ دانشگاه شهید بهشتی
@djeoxoso · 4,215
#29
MedPulse
@jozvetums1402 · 12,822
#30
تفرجگاه میناییایی ۱۴۰۱
@tafarojgah_minayeeyaee · 1,569
#31
Sums Tweet | توییتر دانشگاه علوم پزشکی شیراز
@SumsTweetMD · 5,120
#32
Gumsio🔑
@Gumsio · 1,498
#33
Medical_PDF💉
@pdfvahidzali · 87,290
#34
Neurophile | نوروفیل
@neurophile · 8,831
#35
اطلاع رسانی پزشکی ۱۴۰۱ الف
@med1401A · 775
#36
الفبا علوم پایه | محمد شفیعی
@Alefba_oloompaye · 1,977
#37
GUMS1401- A
@gums1401 · 936
#38
Irdentist
@irdentist · 14,069
#39
Newchive SUMS 1400 B
@sums1400b · 529
#40
شورای صنفی علوم پزشکی تهران
@SGC_TUMS · 14,429 (as read 20 September 2026)
#41
SUMS NEWS 1401 B
@sums1401b · 1,039
#42
اطلاع رسانی ورودی 1401-گروه ب
@TUMS1401MEDb · 695
#43
فیلمومِد
@Learningvideos99 · 39,890
#44
علوم پایه و فیزیوپات 1405💪🏻
@oloompayeee1402 · 6,964 (as read 20 September 2026)
#45
Methi💊cillin
@methicillin1 · 4,434
#46
دکترلند | علوم پایه پزشکی
@Doctor_Land_ir · 2,023 (as read 20 September 2026)
#47
SUMS 1401 M Archive
@sumsarchive1 · 1,895
#48
Archive SUMS MD M1400
@Archivesumsmdm1400 · 2,244
#49
علوم پایه پزشکی و دندانپزشکی مشهد
@Oloompaye_MUMS · 2,084
#50
اطلاع رسانی پزشکی تهران بهمن ۱۴۰۲
@MedTUMS402 · 1,937
#51
جزوه های پزشکی زاهدان|مهر ۱۴۰۰
@j_zaums · 1,731
#52
⏳ Med Azmoon 🩺
@Med_Azm00n · 8,282
#53
اطلاع رسانی پزشکی تهران ۱۴۰۱
@MEDTUMS1401 · 1,042
#54
اندورفــ🎓ـین
@endorphin401 · 1,369
#55
Mediophil plus
@mediophilplus · 772
#56
کانال مکمل TUMS
@TUMS_mokml · 9,393
#57
پزشکیات
@pezeshkiiat · 9,731
#58
Medico news | 🩺 | مدیکو نیوز
@medico_news · 3,211
#59
𝐌𝐞𝐝𝐨𝐱𝐢𝐧
@Med402 · 6,892
#60
پره انترنی و دستیاری
@pre_interni · 16,669
#61
دانشکده دندانپزشکی تلگرام
@teledent_school · 12,546
#62
📚راهِ پزشکی
@medoftehranuniversity · 5,886
#63
Doctors Farm قلعه پزشکان
@DoctorsFarm · 12,380
#64
Beheshti Mental Asylum
@BeheshtiMemes · 2,975
#65
مِدپلاس | Medjuu
@medjuu · 8,515
#66
کتابخونه | بهمن ۱۴۰۰
@library_medical1400 · 2,906
#67
🧬 Medical Learning | مدیکال لرنینگ 🩺
@medicallearning_ir · 1,357
#68
آناتومی پزشکی
@Med_anatomy · 35,872
#69
Med Line | مِد لاین
@Medical_line · 38,344
#70
دکتر اگزم
@DoctorExam · 6,794
#71
هابمد | آموزش پزشکی
@hubmedir · 6,002
#72
دکترآباد | سرزمین‌علوم‌ پزشکی‌کشور
@DoctorAbad · 12,475
#73
نمونه سوال
@exam14002 · 1,422
#74
کانال درسی پزشکی مهر ۱۴۰۱
@darsi_mehr_1401 · 2,462
#75
فیلم های آموزشی دندانپزشکی🦷
@DentistrymoviesAcademy · 8,062 (as read 20 September 2026)
#76
ترم تابستان علوم پزشکی
@med_summer · 6,547
#77
کنکوری لایف | konkorilife
@konkorilife · 65,440
#78
شورای نمایندگان دانشکده پزشکی
@shoratums · 4,875
#79
آوای پزشکان
@avayepezeshkan · 7,948
#80
Dr Meducation | استارتاپ دکتر مجوکیشن
@Dr_Meducation · 3,594
#81
دکتر آزمون⁦👩🏻‍⚕️⁩علوم پایه👨‍⚕️
@dr_azmoun · 3,546
#82
المپیاد های علمی دانشگاه علوم پزشکی اصفهان
@Olympiad_MUI · 1,561
#83
اطلاع رسانی پزشکی مهر ۱۴۰۱
@med01AB · 1,390
#84
نیمه نهایی
@Nimenahayi · 16,221
#85
Atropine.ir | علوم‌پایه
@atrobase · 896 (as read 20 September 2026)
#86
اصطلاحات پزشکی
@MedicalTermino · 16,705
#87
[ آرشیو پزشکی ]
@MedicineFilesArchive · 11,511
#88
مشاوره‌‌ تحصیلی [دکتر‌ بهمنی]
@moshaver_bahmani · 73,230
#89
Shorayesenfi_GUMS
@shorayesenfi_gums · 5,795
#90
داروشناسی پزشکی
@medical_drugs1 · 51,373
#91
🎄لیزی کنکور •|• lazy konkur
@lazy_konkur · 16,861
#92
صنفی مرکزی علوم پزشکی شهید بهشتی
@SBMU_SS · 13,502
#93

Read from Telegram’s recommendation API, most recently 20 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

علوم پایه | مدوفست
@medofast_oloompaye · 23,080
Telegram ranks this channel #1 of 91 here — alongside 90 others — read 20 September 2026
علوم پایه ۹۹
@Olumpaye99 · 25,583
Telegram ranks this channel #3 of 95 here — alongside 94 others — read 14 September 2026
مدیکالیسم | medicalism
@Doctor_MIB_iran · 40,372
Telegram ranks this channel #5 of 89 here — alongside 88 others — read 26 August 2026
دانشجویان علوم پزشکی
@medicall_students · 79,695
Telegram ranks this channel #5 of 79 here — alongside 78 others — read 19 August 2026
Medical University 🏛⚕
@medicaluniversity · 83,321
Telegram ranks this channel #5 of 89 here — alongside 88 others — read 18 August 2026
کار دانشجویی علوم پزشکی | مدیلنسر
@medilancer · 98,872
Telegram ranks this channel #6 of 93 here — alongside 92 others — read 18 August 2026
دانلود کتاب و جزوه | کتابخانه علوم پزشکی
@med_science · 31,433
Telegram ranks this channel #8 of 96 here — alongside 95 others — read 6 September 2026
بانک PDF پزشکی📚
@PDFbankdaro · 32,291
Telegram ranks this channel #9 of 94 here — alongside 93 others — read 5 September 2026
آناتومی پزشکی
@Med_anatomy · 35,872
Telegram ranks this channel #9 of 85 here — alongside 84 others — read 2 September 2026
Medical_PDF💉
@pdfvahidzali · 87,290
Telegram ranks this channel #9 of 90 here — alongside 89 others — read 18 August 2026
فیلمومِد
@Learningvideos99 · 39,890
Telegram ranks this channel #16 of 91 here — alongside 90 others — read 31 August 2026
Medical Jozveh
@medical_jozveh_channel · 127,247
Telegram ranks this channel #17 of 87 here — alongside 86 others — read 18 August 2026
توییتر دانشجویان علوم پزشکی
@medtweeet · 85,313
Telegram ranks this channel #17 of 95 here — alongside 94 others — read 18 August 2026
medistU | مدیستیو
@medistU · 54,112
Telegram ranks this channel #26 of 96 here — alongside 95 others — read 24 August 2026
پُست کشیک
@postkeshik · 39,412
Telegram ranks this channel #30 of 95 here — alongside 94 others — read 31 August 2026
مرکز المپیادهای علمی علوم پزشکی
@Olympiad_Med · 20,627
Telegram ranks this channel #31 of 97 here — alongside 96 others — read 26 September 2026
فایل های علوم پزشکی 📚PDF
@MedicalFile · 31,495
Telegram ranks this channel #43 of 93 here — alongside 92 others — read 6 September 2026
پزشکان سهمیه‌ای
@pezeshkan_sahmiei · 19,843
Telegram ranks this channel #44 of 89 here — alongside 88 others — read 29 September 2026
Med Line | مِد لاین
@Medical_line · 38,344
Telegram ranks this channel #48 of 90 here — alongside 89 others — read 1 September 2026
داروشناسی پزشکی
@medical_drugs1 · 51,373
Telegram ranks this channel #56 of 95 here — alongside 94 others — read 24 August 2026
📥منبع فایل (PDF) علوم پزشکی📤 (Medfile_Pharma)
@medfile_pharma · 48,095
Telegram ranks this channel #58 of 93 here — alongside 92 others — read 27 August 2026

This channel appears in 21 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“علوم پایه پزشکی و دندان‌پزشکی” (@oloompaye), 22,171 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/oloompaye.

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.