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Channel

RAD BIN

@rad_bin

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

554subscribers

-3 since we began measuring on 28 August 2026

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

Register entry

Telegram ID-1001653175699
TypeChannel
Username@rad_bin
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 August 2026
Last confirmed live14 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 September 2026
On Telegramt.me/rad_bin

Topic

Technology — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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

554557555.528 August 2026 — 557 subscribers29 August 2026 — 557 subscribers7 September 2026 — 556 subscribers14 September 2026 — 554 subscribers28 August 202614 September 2026
4 measurements spanning 16 days, net -3. 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 554–557 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Sept 2026, 04:41554-2
7 Sept 2026, 11:59556-1
29 Aug 2026, 06:15557no change
28 Aug 2026, 23:01557first reading

Engagement

20 posts held, back to 2 August 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.53%
avg views ÷ 554 subscribers
Avg views / post
14.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 August 2026
Posts held20 (2 August 202525 August 2026)
Views total14
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 23:01 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 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 1 reactions 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 2 August 2025 to 25 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

25 Aug 2026, 02:08 UTC14 viewsread 28 August 2026

☯️Included much more options to upload template as .docx and to get merged report from findings 👇 https://medicoforever.github.io/radnito/ https://medicoforever.github.io/radnito-fast/ ........................................................................ ☯️Try the same in google ai studio's sandboxed environment here 👇 https://ai.studio/apps/ce506461-45a4-4df1-8b9c-36277ebe9384?fullscreenApplet=true https:/

11 Aug 2026, 15:18 UTC38 viewsread 28 August 2026

Unique Feature of Radnito: Dictate Multiple Patient Reports in a Single Session — Even for 30+ Minutes With Radnito, you can simply turn on the microphone and continuously dictate reports for multiple patients, one after another, in the same recording session. You don’t need to stop, save, or start a new dictation for every patient. It identifies and separates the different patient reports from a 30+ minute con

10 Aug 2026, 15:29 UTC29 viewsread 28 August 2026

Same free to use dictation app in google ai studio's sandbox environment with option to select pro model and use the models without setting api key https://ai.studio/apps/3f0807e3-2494-4289-a3a6-c12032da731c?fullscreenApplet=true

7 Aug 2026, 05:50 UTC26 viewsread 28 August 2026
Forwarded from @radiology_chatgptPhoto

42.RadSlice AI — Transform Printed MRI & CT Film Sheets into Interactive Digital Stack Viewers! 📲 Have you ever taken photos of printed MRI or CT film sheets with your mobile camera and struggled to swipe or compare slices? RadSlice AI solves this instantly! 📸 Upload Any Number of Film Photos or PDFs 🏷️ Automatic Sequence Categorization The AI automatically detects, crops, and groups every individual slice photo

24 Jul 2026, 13:06 UTC44 viewsread 28 August 2026
Forwarded from @radiology_chatgptPhoto

41.RADNITO — Radiology Dictation Web App (100% Free & 24/7 Active) 👋 Check out RADNITO, a free web application designed for radiologists to instantly convert spoken dictations into clean, line-by-line structured radiology report findings! 🌐 Web App Link: https://medicoforever.github.io/radnito/ (Works directly in any browser on PC, Laptop, Tablet, or Mobile — no installation required!) ☯️ Subscribe to our channel

11 Jun 2026, 15:03 UTC80 viewsread 28 August 2026
Forwarded from @radiology_chatgptVideo

40. A new tool from @RADDOCS 🧠 Level Up Your MRI Workflow: AI Protocol Assistant 🚀 Struggling with complex clinical indications or looking for the most efficient sequence parameters? Meet your new clinical companion! A specialized AI MRI Protocol Assistant powered by the latest Gemini 3 models to help Radiologists and Technologists optimize scan protocols in real-time. What can it do? ✅ Detailed Protocols: Get i

17 May 2026, 16:12 UTC86 viewsread 28 August 2026
Forwarded from @radiology_chatgpt

Free solved past 12+ years DNB Radiology Question Answer pdfs: 👇 https://t.me/raddocs/18712/36054 In these 12 PDFs: • The first 4 documents contain only questions, compiled from the past 12+ years. • The next 4 documents include detailed answers to those questions, extracted from standard radiology textbooks. • The final 4 documents provide shorter answers intended for quick revision. Each question includes a UR

31 Dec 2025, 18:50 UTC191 viewsread 28 August 2026

🔲🔳🔲🔳🔲🔳🔲🔳🔲🔳🔲🔳 🔳 ☢ 🔲 🔲 Happy new year 2026 🔳 🔳 ☢ 🔲 🔲🔳🔲🔳🔲🔳🔲🔳🔲🔳🔲🔳

24 Dec 2025, 16:49 UTC190 viewsread 28 August 2026

📁Nice use case for google's gemini models - Long audio transcript creation in whatever way we like 👇 https://x.com/i/status/2003867336932229231

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

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

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

“RAD BIN” (@rad_bin), 554 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/rad_bin.

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.