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Channel

انتشارات طرلان

@drmojtabakarami

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

7,293subscribers

-69 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001038827568
TypeChannel
Username@drmojtabakarami
CreatedBetween 1 January 2016 and 31 October 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/drmojtabakarami

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 20 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.

Growth

7,2937,3627,327.55 August 2026 — 7,362 subscribers6 August 2026 — 7,362 subscribers7 August 2026 — 7,355 subscribers10 August 2026 — 7,350 subscribers13 August 2026 — 7,336 subscribers16 August 2026 — 7,328 subscribers20 August 2026 — 7,315 subscribers24 August 2026 — 7,309 subscribers27 August 2026 — 7,310 subscribers30 August 2026 — 7,309 subscribers2 September 2026 — 7,303 subscribers6 September 2026 — 7,293 subscribers5 August 20266 September 2026
12 measurements spanning 32 days, net -69. 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 7,283–7,372 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Sept 2026, 16:367,293-10
2 Sept 2026, 08:327,303-6
30 Aug 2026, 01:447,309-1
27 Aug 2026, 09:367,310+1
24 Aug 2026, 01:147,309-6
20 Aug 2026, 00:127,315-13
16 Aug 2026, 15:277,328-8
13 Aug 2026, 08:167,336-14
10 Aug 2026, 10:527,350-5
7 Aug 2026, 00:417,355-7
6 Aug 2026, 03:077,362no change
5 Aug 2026, 23:117,362first reading

Engagement

28 posts held, back to 26 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.6%
avg views ÷ 7,293 subscribers
Avg views / post
1,650
7 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
7
of 28 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 16 August 2026
Posts held28 (26 February 202616 August 2026)
Views total11,530
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 11:46 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.

Recent posts

16 Aug 2026, 09:23 UTC≈1,140 viewsread 20 August 2026
Forwarded from @drkiani_mdVoice message

نحوه #تحلیل درست تست‌های کیوبی 🆔 drkiani_md

16 Aug 2026, 09:23 UTC≈1,090 viewsread 20 August 2026
Forwarded from @drkiani_md

یه اشتباه رایج بین داوطلب‌ها اینه که فکر میکنن هرچی بیشتر تست بزنن، حتماً بهتر نتیجه میگیرن. در حالی که ارزش تست زدن، بیشتر از تعداد تست‌ها، به #تحلیل درست تست‌ها بستگی داره. ممکنه ۵۰ تست بزنید و تقریباً هیچ نکته جدیدی ازشون یاد نگیرید ولی ۲۰ تست رو دقیق تحلیل کنید و چندین نقطه ضعف مهمتون رو پیدا کنید. پس صرفاً دنبال افزایش تعداد تست نباشید از تست‌ها برای پیدا کردن ضعف‌هاتون استفاده کنید.

11 Aug 2026, 17:24 UTC≈2,200 viewsread 20 August 2026

❌❌ پکیج کامل آزمونها برای همکارانیکه حداکثر تا 31 مرداد اقدام به ثبت‌نام نمایند 🟢🟢 با بیش از 50 درصد تخفیف 990/000 تومان 🔵 آیدی جهت مشاوره و خرید —— @Tarlan_M

11 Aug 2026, 17:24 UTC≈2,150 viewsread 20 August 2026

🔴 هزینه آزمونها ✅ دور اول: زنان و اطفال و جراحی هر کدام 90/000 تومان و سایر آزمونها هر کدام 60/000 تومان ✅ دور دوم: هزینه هریک از آزمون‌های دور دوم 100/000 تومان ‏✅ هزینه آزمون جامع 200 سوالی ‌‏190/000 تومان 🔵‏ هرینه کل آزمون ها به صورت بکجا 2/140/000 تومان با تخفیف 1/590/000 تومان ❌ آزمونها به صورت تکدرس نیز قابل خریداری هستند 🟣 آزمونهای سال قبل هم فابل تهیه هستند

11 Aug 2026, 17:23 UTC≈2,110 viewsread 20 August 2026

🔴 به نام خدا 🔵 برنامه آزمونهای انتشارات طرلان ◀️ شروع دوره از 31 مرداد 1405 ❎ داوطلبانی که در آزمونها شرکت می کنند به دو گروه تقسیم می‎‌شوند: 🟣 گروه اول: دواطلبانی که برنامه درسی خود را منطبق با برنامه آزمونهای طرلان پیش می‌برند و طبق تاریخ مشخص شده در برنامه، در آزمون درس مربوطه شرکت می٬کنند. 🟢 گروه دوم: داوطلبانی که برنامه درسی‌شان متفاوت با برنامه آزمونهای انتشارات طرلان می‌باشد. این گروه طبق برنامه درسی خودشان د

6 Aug 2026, 08:43 UTC≈1,900 viewsread 20 August 2026
Forwarded from @drkiani_mdVoice message

🔷نحوه مطالعه دور اول آزمون #دستیاری 📍برای تایم تقریبی برای هر دور، میتونید از این فایل کمک بگیرید 📍ویس نحوه مطالعه هر دور آزمون دستیاری 📍نمونه برنامه دور اول آزمون دستیاری دکتر کیانی رزیدنت رادیولوژی دانشگاه تهران رتبه ۳۵ آزمون دستیاری 🆔 @drkiani_md

1 Aug 2026, 15:58 UTC≈1,440 viewsread 20 August 2026
Forwarded from @drkiani_md

یکی از سوال‌های رایجی که این روزها زیاد پرسیده میشه این هست: من امسال در آزمون دستیاری شرکت کردم اما با توجه به نمره‌ای که آورده‌ام احتمالاً به رشته یا شهر موردنظرم نمیرسم. آیا میتوانم امسال انتخاب رشته نکنم و دوباره برای آزمون سال آینده بخونم؟ ویس های پایین رو حتما گوش کنید👇

Showing the 12 most recent of 28 posts we hold for @drmojtabakarami. 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

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.

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.

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

“انتشارات طرلان” (@drmojtabakarami), 7,293 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/drmojtabakarami.

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.