Channel
@Edge_of_Medicine
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,461subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001298591092 |
|---|---|
| Type | Channel |
| Username | @Edge_of_Medicine |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/Edge_of_Medicine |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 17:25 | 1,461 | -1 |
| 6 Aug 2026, 22:04 | 1,462 | no change |
| 6 Aug 2026, 20:03 | 1,462 | first reading |
18 posts held, back to 20 June 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 1 pageof 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.
| Window | Rolling 30 days · latest post in window 2 August 2026 |
|---|---|
| Posts held | 18 (20 June 2026 – 2 August 2026) |
| Views total | 1,784 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 20:03 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.
امروز داشتم فکر میکردم اگر مسئول استخدام افراد بودم، از آنها میپرسیدم که اخیراً چه پیشنهادها و پروژههایی را رد کردهاند. در عصری که هوش مصنوعی سهم واقعی افراد را نامشخص میکند، انجام ندادن کاری، بینش بهتری در مورد افراد ارائه میدهد. هوش مصنوعی میتواند صحبت کند، اما نمیتواند سکوت کند. #AHA @Edge_of_Medicine
Signed Amir Hossein Rajabi
💡💡💡 https://www.technologyreview.com/2026/04/21/1135921/ai-malaise-artificial-intelligence-public-sentiment/ ما وارد مرحلهی جدیدی در رابطه با هوش مصنوعی شدهایم؛ مرحلهای که نه مانند گذشته پر از هیجان است و نه مانند منتقدان اولیه صرفاً ترسناک، بلکه بسیاری از مردم نسبت به آن احساس خستگی، بیتفاوتی و دلزدگی دارند. All our friends are AI now. And our lovers. And our business associates. The recruiter is AI. The sale…
Signed Amir Hossein Rajabi
از نظر این خانم ایرانی ساکن کانادا، فرآیند عضویت ایشون در اوبر از فرآینداپلای برای ناسا یا نوروسرجری هاروارد سخت تر هست. جدا مردم جالبی داریم 😂😂😂 https://www.instagram.com/reel/DZF2pcmp5ju/?igsh=MXFqZ3Exb212b3huYg== @Edge_of_Medicine
Signed Amir Hossein Rajabi
https://t.me/Scholar_Pod کانال علمی دکتر آرمان با هدف آموزش های عملی برای شروع @Edge_of_Medicine
Signed Amir Hossein Rajabi
کتابی که رضا بهم معرفی کرد. ایده اصلی اش اینه گپی که بین اسکیل های یک دیتاساینتیست و انجام یک پروژه واقعی هست رو پرکنه. به دیتاساینتیست ها کمک کنه چطور توی یه تیم حضور داشته باشن، محصول و ارزش رو ورای مهارت های پایه ای شون ایجاد کنند. چپتر ۷ جالبی داشت. @Edge_of_Medicine
Signed Amir Hossein Rajabi
🔴 Explainable AI: Innovation or Hallucination یک مدل explainable برای ectopia lentis pediatric اخیرا از PLOS برای ریویو فرستاده شد واسم. جدا از ایده خیلی خوبش که صرفا از ریپورت های اپتیمتری و بایومتری معمولی استفاده کرده بود برای تشخیص بیماری که در حالت عادی افتالمولوژیست اکسپرت حتما باید با slit lamp تشخیصاش بده ، به خاطرش رفتم بیشتر در مورد این مدل ها مطالعه کنم. این مدل های explainable برخلاف تصور اولیه ام مق…
Signed Amir Hossein Rajabi
ایمیل قدیمی ایلان که مورد انتقاد قرار گرفته. به نظر من بسیار دقیق و حساب شده هست اتفاقا. 💡 @Edge_of_Medicine
Signed Amir Hossein Rajabi
https://arxiv.org/pdf/2604.09679 Models like the Blackboard Agentic pattern suffer from premature consensus. The agents fall into blind conformity, usually just deferring to the most authoritative or confident-sounding agent in some sort of cascade effect. In the human world, we call this the HiPPO phenomenon. https://share.google/ZQpukqn1XaugWAY2E Agents are just mirrors of humans 💡 #Expert_Opinion @Edge_of_Me…
Signed Amir Hossein Rajabi
Article A machine-learning model trained on thousands of electrocardiogram recordings identifies a previously unrecognized group of at-risk people از همه استفاده هایی که فقط accuracy رو افزایش نمیدن / صرفا در فضای بلک باکس نیستن بلکه الگوهایی رو پیدا می کنند که قبلا برای ما ناشناخته بوده از اساس خیلی لذت میبرم. @Edge_of_Medicine
Signed Amir Hossein Rajabi
فیگور جدید برای رجیستری Breast Cancer شیراز! Preprint برای طراحی فیگورهای مقاله شامل گرافیکال ابسترکت - اینوگرافیک - اور ویو و انواع مدل های دیگه که نیاز داشته باشه مقاله تون هم میتونید به آیدی خودم پیام بدین: @Amirhossssssein 🔴 Title 🔴 Abstract 🔴 Authors + Affiliation در پیامتون بفرستین. @Edge_of_Medicine
Signed Amir Hossein Rajabi
X People who feel younger often have brains that are actually biologically younger. Based on brain MRI ageing prediction model, subjective experience of aging is closely related to the process of brain aging and underscores the neurobiological mechanisms of subjective aging as an important marker of late-life neurocognitive health. https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2018…
ViralBench رو اخیرا دیدم برای وایرال کردن یک محتوا در شبکه های اجتماعی ایجادکردن در حالت عادی حتی آنتروپیک خیلی بد این مدل کارها رو انجام میده . برای اینکه نتیجه خوبی بگیرن دسترسی کامل دائم به محتواهای تیک تاک بهش دادن و در خروجی هایی که ازش گرفتن برای پرامپت مربوط به تبلیغ fitness : “get as many views in the fitness space as possible.” هر سه تا مدل Opus 4.8 v.s GPT 5.5 v.s Kimi 2.6 اشون نتایج خوبی از صدها بازدید…
Showing the 12 most recent of 18 posts we hold for @Edge_of_Medicine. 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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Edge of Medicine” (@Edge_of_Medicine), 1,461 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Edge_of_Medicine.
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.