Channel
@medsparkacademy
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
66subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002716678087 |
|---|---|
| Type | Channel |
| Username | @medsparkacademy |
| Description | Our spark is enough do destroy medicine easily 🩵⚡️ #منصة_طبية_تعليمية 🩺 |
| Created | Between 1 June 2025 and 29 August 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/medsparkacademy |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 02:02 | 66 | no change |
| 7 Aug 2026, 22:19 | 66 | first reading |
20 posts held, back to 29 August 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 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 22 September 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
2 reactions across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 2reactions 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 29 August 2025 to 22 September 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🎓 MedSpark Academy – كورس تخطيط القلب الكهربائي (ECG) 📈 تعلّم قراءة وترجمة تخطيط القلب من الألف إلى الياء بخطوات مبسطة وعملية. 👨⚕️ يقدمه: الدكتور سراج منير الزبيدي 💰 سعر الاشتراك : 10,000 دينار فقط ⏳ فرصة محدودة – لا تفوّت الفرصة! ✨ ماذا ستحصل؟ 📌 شرح شامل وواضح للـ ECG 📌 أمثلة عملية وحالات سريرية 📌 محتوى تدريبي يساعدك على الإتقان 📢 اشترك الآن وابدأ رحلتك نحو الاحتراف! 📩 للتواصل والاشتراك: @smme2
❤2
A 35-year-old man presents with fever, night sweats, weight loss, and chronic cough with hemoptysis. On chest X-ray: cavitary lesion in upper lobe. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 4-year-old child presents with cough, stridor, and difficulty breathing. Onset was sudden after playing with toys. Most likely diagnosis?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A 55-year-old man presents with progressive exertional dyspnea and dry cough. He worked for years in a stone-cutting factory. Chest X-ray: diffuse reticular opacities. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 28-year-old woman presents with acute shortness of breath after cesarean section. She has tachycardia, tachypnea, and mild hemoptysis. O2 saturation: 84%. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 40-year-old man presents with fever, productive cough with rusty sputum, and pleuritic chest pain. On exam: bronchial breathing and crepitations at right lower zone. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 72-year-old man presents with weight loss, chronic cough with blood-tinged sputum. He is a heavy smoker. On chest X-ray: hilar mass on right lung. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 30-year-old female presents with recurrent cough and wheeze, worse at night. On exam: expiratory wheeze is heard. She has a history of atopy. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 50-year-old man with history of hypertension presents with sudden onset dyspnea and pink frothy sputum. Bilateral crepitations are heard up to mid-zones. Most likely diagnosis?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A 25-year-old man presents with sudden pleuritic chest pain and breathlessness. He is tall and thin. On exam: decreased chest expansion on right, hyperresonant percussion, and absent breath sounds. Most likely diagnosis?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A 65-year-old chronic smoker presents with progressive shortness of breath, chronic cough, and sputum production for 3 years. On exam: barrel-shaped chest, decreased breath sounds, prolonged expiration. Most likely diagnosis?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🚀 Respiratory system cases 👇
Showing the 12 most recent of 20 posts we hold for @medsparkacademy. 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 6 most recent of 16 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.
A 35-year-old man presents with fever, night sweats, weight loss, and chronic cough with hemoptysis. On chest X-ray: cavitary lesion in upper lobe. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 4-year-old child presents with cough, stridor, and difficulty breathing. Onset was sudden after playing with toys. Most likely diagnosis?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A 55-year-old man presents with progressive exertional dyspnea and dry cough. He worked for years in a stone-cutting factory. Chest X-ray: diffuse reticular opacities. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 28-year-old woman presents with acute shortness of breath after cesarean section. She has tachycardia, tachypnea, and mild hemoptysis. O2 saturation: 84%. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 40-year-old man presents with fever, productive cough with rusty sputum, and pleuritic chest pain. On exam: bronchial breathing and crepitations at right lower zone. Most likely diagnosis?
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
A 72-year-old man presents with weight loss, chronic cough with blood-tinged sputum. He is a heavy smoker. On chest X-ray: hilar mass on right lung. Most likely diagnosis?
Shares as published, totalling 0%. 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 29 August 2025 to 22 September 2025. 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.
Citation-graph rank — 1,044,467 of 1,626,884entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“MedSpark Academy” (@medsparkacademy), 66 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/medsparkacademy.
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.