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Channel

🩺Medicine طبابت🩺

@tababatFMA

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

5,313subscribers

+11 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002062554529
TypeChannel
Username@tababatFMA
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/tababatFMA

Growth

5,3025,3135,307.57 August 2026 — 5,302 subscribers8 August 2026 — 5,304 subscribers11 August 2026 — 5,305 subscribers14 August 2026 — 5,313 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net +11. 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 5,300–5,315 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 22:265,313+8
11 Aug 2026, 06:215,305+1
8 Aug 2026, 13:405,304+2
7 Aug 2026, 15:165,302first reading

Engagement

18 posts held, back to 9 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 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.7%
avg views ÷ 5,313 subscribers
Avg views / post
942
7 posts measured
Reaction rate
0.288%
reactions ÷ views · ER floor
Posts in window
7
of 18 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held18 (9 July 20264 August 2026)
Views total6,594
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:29 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
14m 38s
Average length
4m 53s

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

65 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 95.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6295.4%
👍23.08%
🙏11.54%

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 18 of the 18 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 65reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 9 July 2026 to 4 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

4 Aug 2026, 04:41 UTC629 views1 reactionsread 12 August 2026

توجه ‼️ فقط ۷ روز از مهلت ثبت نام به امتحان اگزیت باقیماندا است. کسانیکه هنوز ثبت نام نکرده اند، می توانند بر اساس رهنمایی ویدیوی فوق ثبت نام نمایند. با اکادمی طبی فضلی (FMA) اگزیت دیگر سخت نیست!

1

4 Aug 2026, 04:40 UTC626 views1 reactionsread 12 August 2026
Video

طریقه ثبت نام به امتحان اگزیت🩺📚 اگرچه یک پروسه آسان است اما بنابر تقاضای بعضی دوستان جهت جلوگیری از اشتباه این ویدیو کمک کننده بوده می تواند. با ما همراه باشید: https://t.me/tababatFMA

1

3 Aug 2026, 05:20 UTC659 views2 reactionsread 12 August 2026
Photo

Join us to Achieve Success: 👉https://t.me/SuccessPathFa

2

30 Jul 2026, 02:24 UTC≈1,050 views5 reactionsread 12 August 2026
Photo

🚨 فقط چند هفته تا اگزیت باقی مانده! آیا هنوز هم از منابع پراکنده و ناقص یرای امادگی به اگزیت استفاده می‌کنید؟ پکیج کامل آمادگی اگزیت ستوماتولوژی دقیقاً همان چیزی است که برای کامیابی نیاز دارید: ✅ سلایدهای خلاصه و نکته‌محور ✅ ویدیوهای آموزشی با کیفیت ✅ سوالات چهارگزینه‌ای همراه با کلید ✅ امتحانات آزمایشی مطابق سبک اگزیت 🎯 همه چیز در یک پکیج؛ بدون اتلاف وقت، با تمرکز بر مهم‌ترین نکات امتحان. ⏳ فرصت محدود است. 🎁

5

26 Jul 2026, 07:59 UTC≈1,120 views4 reactionsread 12 August 2026
Forwarded from @STOExitFMAPhoto

🎓 پکیج آموزشی کامیاب‌کننده برای اگزیت ستوماتولوژی اگر می‌خواهید بدون سردرگمی، با آمادگی کامل و اعتماد به نفس در امتحان اگزیت موفق شوید، این پکیج دقیقاً برای شما تهیه شده است. ✅ سلایدهای خلص و واضح ✅ ویدیوهای آموزشی با کیفیت ✅ سوالات خودآزمایی ✅ بانک سوالات چهارگزینه‌ای (MCQs) ✅ امتحانات آزمایشی فراوان با مطالعه این بسته آموزشی، اگزیت را ساده‌تر، سریع‌تر و حرفه‌ای‌تر آماده شوید. 🎁 تخفیف ویژه برای مدت محدود 📩 جهت د

4

22 Jul 2026, 17:35 UTC≈1,200 views6 reactionsread 12 August 2026
Photo

#اگزیت⚠️ با گذشت هر روز به امتحان اگزیت نزدیک می شویم. کامیاب شدن در امتحان اگزیت سخت نیست اما هر دور حدود ۷۰٪ ناکام می شوند. چون برنامه منظم و روزمره، داشتن مربی و رهنما و تمرینات مداوم برای کامیابی در اگزیت شرط هستند. Fazli Medical Academy

5👍1

20 Jul 2026, 00:51 UTC≈1,310 views0 reactionsread 12 August 2026
Photo

#Exit Exam🩺📚 ⁉️در مدت که به اگزیت باقی مانده است، داکتر صاحبان شامل در امتحان چه باید بکنند تا تضمین کننده مؤفقیت شان باشد؟🤔 ✅مرور نکات کلیدی و مهم بصورت خلص ✅مرور سوالات مهم چهارجوابه ✅تمرین امتحانات آزمایشی ✅اشتراک در سیمینار های مرتبط ✅در صورت داشتن مشکل یا سوال با اساتید با تجربه در میان گذاشتن. در انجام موارد فوق که می توانند‌ کامیاب کننده باشند، اکادمی طبی فضلی(FMA) تعهد همکاری و همراهی را با همه شما عزیزان

18 Jul 2026, 09:14 UTC≈1,210 views5 reactionsread 12 August 2026
Photo

🎓 فقط یک تصمیم تا کامیابی در امتحان‌ اگزیت فاصله دارید! 🚀 صنف جدید برنامه تشدیدی آمادگی اگزیت ستوماتولوژی ✅ مرور کلی تمام مضامین بر اساس ریفرینس جدید ✅ میتود تدریس منظم، فشرده و امتحان‌پسند ✅ مناسب برای کسانی که می‌خواهند با اطمینان اگزیت را موفقانه سپری کنند. 🏆 صدها داوطلب با برنامه‌های ما اگزیت را با موفقیت پاس کرده‌اند؛ این بار نوبت شماست! ⏳ تخفیف ویژه برای مدت محدود 📞 ثبت‌نام و معلومات: 0766446843 @FazliMe

4🙏1

16 Jul 2026, 13:08 UTC≈1,190 views4 reactionsread 12 August 2026

#کامیابی در اگزیت آیا برنامه های اکادمی طبی فضلی(FMA) سبب کامیابی در اگزیت می شود؟ چی تضمین وجود دارد که این برنامه ها سبب کامیابی در اگزیت شوند؟ صد ها نفر از طریق برنامه های اکادمی طبی فضلی در اگزیت کامیاب شده اند. نمونه از کامیابان برنامه های ما در اگزیت: https://t.me/tababatFMA/2457?single و در لینک ذیل هم نظریات اشتراک کنندگان برنامه های ما در مورد دروس: https://t.me/c/1789797281/19116

4

15 Jul 2026, 11:28 UTC≈1,190 views4 reactionsread 12 August 2026
File

سیمینار ”چگونه برای امتحان اگزیت آمادگی بگیرم؟“ سیمینار فوق العاده مهم برای هر داوطلب اگزیت(معالجوی و ستوماتولوژی) موضوعات بحث شده: ➖امتحان اگزیت چیست؟ ➖چرا امتحان اگزیت؟ ➖اهمیت امتحان اگزیت ➖اشتباهات رایج دواطلبان امتحان اگزیت ➖راهکار ها و توصیه ها ➖اناث که شامل اگزیت نیستند پس چرا باید آمادگی بگیرند؟ ➖مدت زیاد به امتحان باقی است؟؟ ➖تعقیب یک برنامه منظم ➖اصول مؤفقیت در امتحان اگزیت ➖جمعه بندی موضوعات سیمینار ➖نتیج

4

15 Jul 2026, 04:33 UTC≈1,000 views4 reactionsread 12 August 2026
Photo

🌟 Medical English | Professional English in Use 🌟 صنف اختصاصی آنلاین با داکتر حسیب‌الله فضلی 📚 هدف این دوره چیست؟ توانایی درک، ترجمه و فهم دقیق کتاب‌ها و منابع معتبر خارجی طبی اگر هنگام خواندن کتاب‌های طبی انگلیسی دچار مشکل می‌شوید، این صنف دقیقاً برای شماست! ✅ یادگیری واژگان و اصطلاحات تخصصی طبی ✅ درک متن‌های علمی و کتاب‌های مرجع ✅ تقویت مهارت Reading و تحلیل متون طبی ✅ آموزش قدم‌به‌قدم، ساده و کاربردی 🎯 مناسب

4

Showing the 12 most recent of 18 posts we hold for @tababatFMA. 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 — 364,502 of 1,480,975entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

Queen of Crypto
@Drhelenaz · 283,729
Telegram ranks this channel #25 of 46 here — alongside 45 others — read 16 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“🩺Medicine طبابت🩺” (@tababatFMA), 5,313 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tababatFMA.

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.