Channel
@PYQSMARTREVISION
On this record: Topic · Growth · Engagement · Posts · Polls · Cite this entry
150subscribers
-9 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003850211153 |
|---|---|
| Type | Channel |
| Username | @PYQSMARTREVISION |
| Created | Between 1 February 2026 and 17 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 10 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 10 October 2026 |
| On Telegram | t.me/PYQSMARTREVISION |
Education — 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 25 September 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Oct 2026, 22:18 | 150 | -3 |
| 30 Sept 2026, 13:39 | 153 | -1 |
| 16 Sept 2026, 15:37 | 154 | -1 |
| 30 Aug 2026, 19:28 | 155 | -2 |
| 23 Aug 2026, 08:43 | 157 | -1 |
| 15 Aug 2026, 01:36 | 158 | -1 |
| 8 Aug 2026, 17:31 | 159 | no change |
| 7 Aug 2026, 19:19 | 159 | first reading |
20 posts held, back to 17 May 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 page of 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 23 May 2026. An engagement rate over an empty window would be a number about nothing.
📌 Short Explanation: Ammonia produced during amino acid metabolism is highly toxic, especially to the brain. The liver detoxifies ammonia through the urea cycle, converting it into urea for renal excretion. When the liver fails, the brain gets marinated in nitrogenous waste. Remarkable system design. ⚠️ Possible Examiner Twists: • Urea cycle occurs partly in mitochondria and cytosol • Hyperammonemia causes cerebral …
10-Minute Revision Strategy: Revise anti-anginal drugs focusing on nitrate mechanism, hemodynamic effects, tolerance, and contraindications. 🤖 ChatGPT Revision Prompt: “Teach me anti-anginal drugs for NEET PG with mechanisms, preload/afterload effects, adverse effects, and clinical uses.”
10-Minute Revision Strategy: Revise amino acid metabolism, urea cycle enzymes, hyperammonemia disorders, and hepatic encephalopathy. 🤖 ChatGPT Revision Prompt: “Create a NEET PG rapid revision chart for urea cycle disorders, ammonia metabolism, and hepatic encephalopathy.”
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📌 Short Explanation: Carbidopa inhibits peripheral dopa decarboxylase and does not cross the blood-brain barrier. This increases availability of levodopa to the brain and reduces peripheral adverse effects like nausea and arrhythmias. ⚠️ Possible Examiner Twists: • Selegiline inhibits MAO-B • Entacapone inhibits COMT • Levodopa causes dyskinesia and on-off phenomenon • Bromocriptine is a dopamine agonist • Vitamin B…
📌 Short Explanation: Classic galactosemia is caused by deficiency of galactose-1-phosphate uridyltransferase (GALT). Accumulation of galactose-1-phosphate causes liver damage, cataracts, and intellectual disability if untreated. ⚠️ Possible Examiner Twists: • Galactokinase deficiency causes infantile cataracts only • Reducing sugars positive but glucose negative in urine • Cataracts due to galactitol accumulation • …
10-Minute Revision Strategy: Revise carbohydrate metabolism disorders: galactosemia, hereditary fructose intolerance, and essential fructosuria. 🤖 ChatGPT Revision Prompt: “Teach me inherited carbohydrate metabolism disorders for NEET PG with enzyme defects, clinical features, and dietary management.”
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Do you guys like the Revision Format
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Quick Feedback Is the current format helpful for your revisions? Are there any areas you would like to see more or less of? Please share your thoughts and suggestions so that I can better support the group.
Showing the 12 most recent of 20 posts we hold for @PYQSMARTREVISION. 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 poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Do you guys like the Revision Format
Shares as published, totalling 99%. 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 17 May 2026 to 23 May 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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“PYQ SMART REVISION🧠” (@PYQSMARTREVISION), 150 subscribers as measured 10 October 2026. Telegram Register, tgregister.com/channel/PYQSMARTREVISION.
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.