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Channel

از لیسانس تا پزشکی

@lisans2pezeshki

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

374subscribers

+7 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003515234077
TypeChannel
Username@lisans2pezeshki
CreatedBetween 1 December 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/lisans2pezeshki

Growth

367374370.56 August 2026 — 367 subscribers6 August 2026 — 368 subscribers6 August 2026 — 368 subscribers14 August 2026 — 374 subscribers6 August 202614 August 2026
4 measurements spanning 8 days, net +7. 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 366–375 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 11:27374+6
6 Aug 2026, 20:48368no change
6 Aug 2026, 20:42368+1
6 Aug 2026, 13:36367first reading

Engagement

20 posts held, back to 31 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
76.0%
avg views ÷ 374 subscribers
Avg views / post
284
7 posts measured
Reaction rate
0.522%
reactions ÷ views · ER floor
Posts in window
7
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 4 of 7 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 26 July 2026
Posts held20 (31 January 202626 July 2026)
Views total1,989
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 20:48 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.

Reaction mix

21 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1466.7%
🔥733.3%

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 11 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 21reactions 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 31 January 2026 to 26 July 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

26 Jul 2026, 07:01 UTC210 viewsread 6 August 2026

https://www.instagram.com/channel/AbaeS42KFiH01PJy/AbZU4f9vEFQEgSzh/ 👆👆👆👆👆 ویس مهم ویژه داوطلبان آزمون لیسانس به پزشکی دکتر جعفر اکبری @lisans2pezeshki

23 Jul 2026, 06:24 UTC251 views1 reactionsread 6 August 2026
Forwarded from @DrkhaliliSariPhoto

🩺 پزشکی، مقصد کسانی است که فقط درس نمی‌خوانند؛ مسیرشان را هم می‌سنجند. ✅اگر هدفت قبولی در آزمون کارشناسی به پزشکی است، آزمون‌های آزمایشی یکی از مهم‌ترین بخش‌های این مسیر هستند 📌 آزمون های آزمایشی ۱۲ مرحله ای ویژه آمادگی آزمون کارشناسی به پزشکی ۱۴۰۶ ⚠️ فرصتی برای سنجش آمادگی، مدیریت زمان و شناخت نقاط قابل بهبود. 📤 این پست رو هم برای دوستت بفرست ؛ شاید شرکت در آزمون مسیرشو عوض کنه 🚀 🛫 برای دریافت اطلاعات بیشتر

1

22 Jul 2026, 14:20 UTC233 viewsread 6 August 2026

💥💥 💥💥 🚨 یه خبر خوب🎉🤩🎉🤩 👨‍⚕ برای داوطلب‌های کارشناسی به پزشکی 406 و 407 ... 📑 برنامه کلاس‌ها و طرح‌های تخفیف منتشر شد.پست بالا ⤴️⤴️⤴️⤴️ https://t.me/lisans2pezeshki

22 Jul 2026, 14:14 UTC204 viewsread 6 August 2026
Forwarded from @DrkhaliliSariPhoto

🩺 مسیر پزشکی، با یک انتخاب درست آغاز می‌شود... ⭐️بالاخره برنامه کلاس‌های کارشناسی به پزشکی ۱۴۰۵–۱۴۰۶ منتشر شد. 🔖 در این پوستر، علاوه بر برنامه کامل کلاس‌ها و اساتید، تخفیف‌های ویژه ثبت‌نام هم قرار گرفته تا بتونی با خیال راحت‌تر برای مسیر آمادگی آزمون برنامه‌ریزی کنی. 🎯 ✨ اگر هدفت پوشیدن روپوش سفید است، این پوستر را از دست نده. 👨‍⚕️👩‍⚕️ 😛 همه جزئیات داخل پوستر منتظر توست. 📄 📤 این پست رو هم برای دوستت بفرست ؛ شاید

21 Jul 2026, 17:36 UTC174 views1 reactionsread 6 August 2026
Forwarded from @DrkhaliliSariPhoto

💢*آزمون زبان msrt دوم مردادماه برگزار می‌شود* ◻️براساس اعلام اداره کل بورس و امور دانشجویان خارج سازمان امور دانشجویان وزارت علوم، آزمون زبان msrt روز جمعه دوم مرداد ماه ۱۴۰۵ برگزار می شود. ◻️مهلت ثبت‌نام در این دوره آزمون زبان msrt، از ساعت ۱۰ صبح یکشنبه هفتم تیر ماه ۱۴۰۴ آغاز شده و تا ساعت ۱۴، روز چهارشنبه ۱۰ تیر ماه ۱۴۰۵ ادامه داشت. 🔎 کانال خبری ارشد دکتری لیسانس به پزشکی 🚀 http://t.me/DrkhaliliSari 🌐http://ins

1

19 Jul 2026, 11:48 UTC215 views2 reactionsread 6 August 2026
Forwarded from @zistazmaUpPhoto

خروج آگاهانه از منطقه امن پژوهش‌های علوم اعصاب نشان می‌دهد وقتی مهارتی تازه را تمرین می‌کنیم یا با چالشی جدید روبه‌رو می‌شویم، مغز با ایجاد و تقویت ارتباطات عصبی جدید خود را بازسازی می‌کند. به همین دلیل، خروج آگاهانه از منطقه امن می‌تواند به یادگیری و رشد توانایی‌های ذهنی کمک کند. همچنین هر بار که مهارتی تازه یاد می‌گیریم یا کاری خارج از عادت‌های همیشگی انجام می‌دهیم، این فرایند تقویت می‌شود. در این زمینه حتی انجام

2

18 Jul 2026, 06:06 UTC702 views3 reactionsread 6 August 2026
Photo

📢 اطلاعیه ثبت‌نام آزمون لیسانس به پزشکی دوره ۱۹ منتشر شد. داوطلبان عزیز، اطلاعیه رسمی ثبت‌نام از طریق مرکز سنجش آموزش پزشکی منتشر شده و از این لحظه وارد یکی از مهم‌ترین مراحل مسیر آزمون می‌شوید. پیشنهاد می‌کنیم اطلاعیه را با دقت مطالعه کنید و به زمان‌بندی‌ها، شرایط ثبت‌نام و مدارک موردنیاز توجه ویژه داشته باشید. برای همه شما آرزوی موفقیت داریم. 🌱 کانال اختصاصی لیسانس به پزشکی @lisans2pezeshki http://instagram.co

3

9 Jul 2026, 16:43 UTC333 viewsread 6 August 2026
Forwarded from @DrkhaliliSariPhoto

🩺 قبولی، شانسی نیست... تصمیمیه که امروز می‌گیری. تا آزمون فرصت محدوده؛ اگه هنوز برای جمع‌بندی و تست‌های هدفمند برنامه نداری، کلاس های نکته و تست آنلاین بهترین انتخابه. 🎯 🔥 کلاس‌های نکته و تست AGK با حضور اساتید برتر، دقیقاً برای این روزهای سرنوشت‌ساز طراحی شدن.  🛫 برای دریافت مشاوره و ثبت‌نام، همین حالا تماس بگیر نوبت قبولی توئه. ⚕️ ❌پیام در تلگرام مشاوره 1 مشاوره2 یا 📞 تماس با🫴 💬09102121284 💬093558639

8 Jul 2026, 06:13 UTC311 views2 reactionsread 6 August 2026
Forwarded from @DrAkbariShimiPhoto

Photo, posted without a caption

2

6 Jul 2026, 14:26 UTC383 views1 reactionsread 6 August 2026
File

شیوه نامه جدید آزمون لیسانس به پزشکی .🎆 @lisans2pezeshki @drkhalilisari

🔥1

5 Jul 2026, 05:38 UTC404 views3 reactionsread 6 August 2026
File

🎆 دفترچه راهنمای شرکت در آزمون ورودی کارشناسی به پزشکی سال تحصیلی 1405 1404 .🎆 @lisans2pezeshki @drkhalilisari

🔥3

3 Jul 2026, 15:46 UTC300 viewsread 6 August 2026
Forwarded from @DrkhaliliSariPhoto

شروعی طلایی برای آینده پزشکی‌ات 🔥 🔥 دوره جدید «لیسانس به پزشکی» شروع دوره اول دی ماه 404 جلسات اول کاملاً رایگان! فرصتی بی‌نظیر برای آشنایی با مسیر ورود به دنیای پزشکی، با تدریس اساتید برجسته و محتوای تخصصی با ویدیوهای بازپخش ک لینک بازپخش ها در همین کانال بارگذاری شده است . 🎆ویژه آزمون ۴۰۵ و۴۰۶ 🎆 💥 از صفر تا قبولی پزشکی کنار بهترین اساتید کشور فقط یک قدم مونده… 🔴 مشاوره رایگان و اطلاعات

Showing the 12 most recent of 20 posts we hold for @lisans2pezeshki. 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.

Citation-graph rank

Citation-graph rank — 177,022 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

“از لیسانس تا پزشکی” (@lisans2pezeshki), 374 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/lisans2pezeshki.

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.