شماهم ؟؟؟😂 آدرس🤩 | لینک🤩 دیدنِ🤩 | معرفی🤩
❤10

Channel
@lisansbepezeshki3
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
5,755subscribers
+480 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003032219498 |
|---|---|
| Type | Channel |
| Username | @lisansbepezeshki3 |
| Description | 🎓 آکادمی مدتست لیست خدمات: https://t.me/medtest_khadamat/7 📩 پشتیبانی دورهها: @Medtest_admin 🌐 سایت: medtest.app 💡 آموزش هوشمندِ دروس علوم پزشکی 🎯 مشاوره تخصصی آزمونهای علوم پزشکی 🏆 با رتبههای ۱ کشوری در علوم پایه و لیسانس به پزشکی |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 23 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/lisansbepezeshki3 |
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 12 September 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 17:39 | 5,755 | +7 |
| 31 Oct 2026, 08:46 | 5,748 | -4 |
| 28 Oct 2026, 03:32 | 5,752 | -10 |
| 25 Oct 2026, 03:20 | 5,762 | -10 |
| 22 Oct 2026, 14:05 | 5,772 | -18 |
| 19 Oct 2026, 11:19 | 5,790 | -5 |
| 16 Oct 2026, 13:48 | 5,795 | -5 |
| 6 Oct 2026, 15:39 | 5,800 | +29 |
| 29 Sept 2026, 21:15 | 5,771 | +78 |
| 19 Sept 2026, 16:42 | 5,693 | +44 |
| 15 Sept 2026, 00:37 | 5,649 | +49 |
| 11 Sept 2026, 17:41 | 5,600 | +62 |
| 7 Sept 2026, 04:20 | 5,538 | +75 |
| 2 Sept 2026, 03:04 | 5,463 | +21 |
| 30 Aug 2026, 01:53 | 5,442 | +25 |
| 27 Aug 2026, 11:14 | 5,417 | +18 |
| 24 Aug 2026, 10:03 | 5,399 | +47 |
| 20 Aug 2026, 16:03 | 5,352 | +23 |
| 17 Aug 2026, 19:54 | 5,329 | +32 |
| 14 Aug 2026, 23:43 | 5,297 | first reading |
61 posts held, back to 6 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 4 pages of Telegram’s post history, 20 posts per page.
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 19 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 61 (6 August 2026 – 4 November 2026) |
| Views total | 11,350 |
| Reactions total | 199 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 19:07 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.
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 12 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.
649 reactions across 60 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 649 | 100.0% |
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 60 of the 61 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 649 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 61 most recent posts we hold, published 6 August 2026 to 4 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.
Telegram’s own ‘edited’ marker: 0 of 20 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).
شماهم ؟؟؟😂 آدرس🤩 | لینک🤩 دیدنِ🤩 | معرفی🤩
❤10
⬇️ قرار نیست همه مسیر لیسانس به پزشکی رو از قبل بلد باشی؛ اما لازمه بدونی وقتی به یک مانع میرسی، چطور ازش عبور کنی. مشاوره خصوصی مدتست دقیقاً برای همین بخش از مسیره. توی این همراهی، فقط با یک برنامه هفتگی روبهرو نیستی؛ بلکه: 📌برنامه مطالعاتی متناسب با شرایط و سطح خودت داری. 📌 عملکردت بهصورت مستمر بررسی میشه. 📌 گزارشهای روزانهات تحلیل میشن. 📌 برای رفع اشکال، مدیریت عقبافتادگی و اصلاح روش مطالعه راهنمایی می…
❤5
💣 گاهی نتیجه چند ماه تلاش، به تصمیمهایی بستگی داره که شاید در لحظه خیلی مهم به نظر نرسن! مثلاً: ✨الان وقت مرور کدوم درسه؟ ✨برای مبحثی که هنوز مسلط نشدی، تست بیشتر بزنی یا برگردی سراغ آموزش؟ ✨کدوم منبع واقعاً به دردت میخوره و کدوم فقط وقتت رو میگیره؟ ✨وقتی از برنامه عقب میافتی، چطور خودت رو به مسیر برگردونی؟ این ها همون تصمیمهاییه که اگر بدون شناخت درست از شرایطت گرفته بشن، میتونن کلی از زمانت رو هدر بدن. تو…
❤12
این کلیپ برای شماییه که از خوابتون بخاطر هدفتون میزنین آدرس🤩 | لینک🤩 دیدنِ🤩 | معرفی🤩
❤14
📎از کجا میدونی روشی که باهاش درس میخونی واقعا جواب میده؟
❤4
✅اینکه چند ساعت مطالعه کردی؟ ✅اینکه چند صفحه جلو رفتی؟ ✅یا اینکه وقتی با یه سؤال جدید روبهرو میشی، میتونی از دانستههات استفاده کنی؟ 👈 گاهی مشکل ما کمکاری نیست؛ داریم با روشی ادامه میدیم که مدتهاست نیاز به اصلاح داره یکی از مهمترین کارهایی که باید در مسیر لیسانس به پزشکی انجام بدی، بررسی مداوم کیفیت مطالعهته، نه فقط ثبت ساعتها🩺 آدرس🤩 | لینک🤩 دیدنِ🤩 | معرفی🤩
❤12
هر روز صبح که از خواب بیدار میشی تو آینه نگاه کن و چهرهی تنها کسی که آینده رو برات میسازه به خاطر بسپار!❤️
❤11
💣 بیا باهم ادامه بدیم :)))
❤20
شاید الان بیشتر از هر زمان دیگهای به یک نگاه دقیقتر به مسیرت نیاز داشته باشی👀 نه لزوماً چون کم درس خوندی؛ شاید چون نمیدونی کدوم بخش از تلاشت نتیجهبخش بوده و کجای مسیر نیاز به اصلاح داره🤔 مشاوره خصوصی مدتست فرصتیه برای اینکه مسیرت رو با همراهی منتورهای باتجربه جلو ببری؛ از برنامهریزی و پیگیری روزانه گرفته تا تحلیل آزمون و آمادگی مصاحبه🗓 ❌راستی؛ ظرفیت مشاوره هم بهدلیل پیگیری اختصاصی هر دانشجو محدوده!! اگر میخ…
❤9
⁉️ تا حالا شده آخر هفته به برنامهات نگاه کنی و ببینی کلی ساعت درس خوندی، اما هنوز مطمئن نباشی واقعاً به اندازه کافی پیشرفت کردی؟ واقعیت اینه که توی مسیر لیسانس به پزشکی، فقط زیاد درس خوندن مهم نیست❗️ اینکه بدونی: ❤️کدوم مباحث رو باید در اولویت بذاری؟ ❤️ چه زمانی باید یک درس رو مرور کنی؟ ❤️ کجا باید روش مطالعهات رو تغییر بدی؟ ❤️ چطور از آزمونها و اشتباهاتت نتیجه بگیری؟ گاهی همین تصمیمهای بهظاهر کوچیک، تفاوت بز…
❤12
☕️ یکم حرف دلی میدونی، بعضی از مسیرها فقط با درس خوندن طی نمیشن؛ با صبر، با دوباره شروع کردن و با ادامه دادن توی روزهایی که هیچچیز اونطور که میخواستی پیش نرفته شاید بعضی روزها حس کنی از برنامه عقب افتادی، شاید نتیجه آزمونات اون چیزی نباشه که انتظار داشتی یا حتی گاهی به انتخابت شک کنی… ولی یادت نره، قرار نیست هر روز فوقالعاده باشی؛ قرار نیست همیشه پرانرژی و باانگیزه باشی.گ فقط سعی کن حتی توی روزهای معمولی هم …
❤14
صبح بخیر به همهی اونایی که دارن برای یه مسیر متفاوت تلاش میکنن! ☁️ ◀️توی این مسیر، فقط زیاد درس خوندن تعیینکننده نیست؛ اینکه بدونی الان باید روی چی وقت بذاری و چطور از زمانت استفاده کنی، تفاوت اصلی رو میسازه⚡️
❤7
Showing the 12 most recent of 61 posts we hold for @lisansbepezeshki3. 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.
The 3 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.
پاسخ؟
The shares total 102%, 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.
چه کنیم ❓ 🫣
The shares total 104%, 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.
🎯 به نظرت؛ سخت ترین بخش مطالعه درس نورو آناتومی سر و گردن چیه ⁉️
The shares total 117%, 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 61 most recent posts we hold, published 6 August 2026 to 4 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“لیسانس به پزشکی مدتست” (@lisansbepezeshki3), 5,755 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/lisansbepezeshki3.
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.