"العجب مِمّن عرف ربّه ثمً عصاهُ، وعرف الشيطان ثمّ أطاعه". ابن رجب (رحمه الله) | لطائف المعارف
❤3

Channel
@ECGCasesForUnder
On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry
493subscribers
+1 since we began measuring on 29 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003295386392 |
|---|---|
| Type | Channel |
| Username | @ECGCasesForUnder |
| Created | Between 1 October 2025 and 13 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 29 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/ECGCasesForUnder |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 18:35 | 493 | +1 |
| 29 Aug 2026, 21:30 | 492 | no change |
| 29 Aug 2026, 21:15 | 492 | first reading |
20 posts held, back to 13 November 2025 — 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 page 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.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 20 (13 November 2025 – 28 August 2026) |
| Views total | 94 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 21:30 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.
23 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 95.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 95.7% | |
| 🏆 | 1 | 4.35% |
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 7 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 23 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 13 November 2025 to 28 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.
"العجب مِمّن عرف ربّه ثمً عصاهُ، وعرف الشيطان ثمّ أطاعه". ابن رجب (رحمه الله) | لطائف المعارف
❤3
"ومن صفات المنافقين: كثرة التلون، وسرعة التقلب، وعدم الثبات على حال واحد. بينا تراه على حال تعجبك من دين أو عبادة أو هدي صالح أو صدق، إذ انقلب إلى ضد ذلك كأنه لم يعرف غيره. فهو أشد الناس تلونًا وتقلبًا وتنفلًا، جيفة بالليل قطربًا بالنهار". ابن القيم (رحمه الله) | طريق الهجرتين ٨٨٨/٢
❤3
🔴 A patient with DM type 1 who presents with abdominal pain, vomiting, lethargy, increased thirst and urination, and fruity smelling breaths. This ECG: 🔴 What is the ECG Abnormality? 📍Hyperkalemia 🔴 What is The Cause? 📍Due to DKA (diabetic ketoacidosis)
❤11
🔴 Spot Diagnostic? 📍2nd degree heart block (Mobtiz 2)
🔴 A 59 YO hypertensive patient presents to the A&E complaining of dull central chest pain for around 4 hours. His vitals are as follows: HR: 99, BP: 155/95, RR: 21, O2 sat on room air: 97% Chest X-ray is normal. Troponin level was sent and still pending. He was given IV morphine for his chest pain. 🔴 Diagnosis? 📍 myocardial ischemia 🔴 What is the most appropriate next step in management? 📍 Oral Aspirin & SC LMWH
❤1
🔴 The following ECG is done for a 58 YO man who presents with palpitation. He is otherwise healthy. 🔴 Diagnosis? 📍Atrial Fibrillation 🔴 What is the most appropriate line in Rx? 📍 Beta-blockers (eg, metoprolol, atenolol)
🔴 Regarding Above ECG , A 70 years old female presents to the ED after a fall at home. Her BP is 80/50 and HR is 150 bpm. The next step in management is:
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🔴 Spot Diagnosis? 📍Atrial Fibrillation
🔴 A patient known to have hypertension presents with Chest discomfort and Nausea. 📍Hyperkalemia 🔴 Most Likely underlying Cause? 📍Due to ACEIs or ARBs 🔴 Firstly line Management? 📍 IV Calcium Gluconate
❤2
🔴 An elderly male presents with Palpitations and Shortness of breath on exertion. The ECG is as follows. 🔴 What is the likely diagnosis and management? 📍Atrial Fibrillation 🔴 What is the best management? 📍Beta-Blocker
🔴 Regarding Above ECG, 18 years old male who is a known case of Asthma presented with Palpitations, Light-headedness , What is the best drug?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
🔴 Spot Diagnosis: 📍SVT
Showing the 12 most recent of 20 posts we hold for @ECGCasesForUnder. 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 4 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.
🔴 Regarding Above ECG , A 70 years old female presents to the ED after a fall at home. Her BP is 80/50 and HR is 150 bpm. The next step in management is:
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🔴 Regarding Above ECG, 18 years old male who is a known case of Asthma presented with Palpitations, Light-headedness , What is the best drug?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
🔴Regarding the most likely diagnosis in Above ECG, the treatment of choice is:
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
🔴 Clinically, the most important cause of ventricular tachycardia (VT) clinically is:
Shares as published. No per-option vote count is published by Telegram, so none is 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 20 most recent posts we hold, published 13 November 2025 to 28 August 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.
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.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“ECG Cases For Undergraduate” (@ECGCasesForUnder), 493 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/ECGCasesForUnder.
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.