Channel
@sketchymedical
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
90,091subscribers
-155 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001161564578 |
|---|---|
| Type | Channel |
| Username | @sketchymedical |
| Description | Contact admin @murtazakuchay for any Queries/promotion/copyright issue |
| 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 | 19 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/sketchymedical |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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 |
|---|---|---|
| 19 Sept 2026, 13:01 | 90,091 | +6 |
| 17 Sept 2026, 03:59 | 90,085 | +3 |
| 15 Sept 2026, 07:15 | 90,082 | +16 |
| 13 Sept 2026, 14:01 | 90,066 | +15 |
| 11 Sept 2026, 17:58 | 90,051 | -12 |
| 9 Sept 2026, 06:15 | 90,063 | -30 |
| 6 Sept 2026, 01:38 | 90,093 | -36 |
| 3 Sept 2026, 22:36 | 90,129 | -15 |
| 2 Sept 2026, 11:25 | 90,144 | -17 |
| 1 Sept 2026, 14:13 | 90,161 | -20 |
| 31 Aug 2026, 13:26 | 90,181 | -20 |
| 30 Aug 2026, 10:35 | 90,201 | -14 |
| 29 Aug 2026, 13:13 | 90,215 | -20 |
| 28 Aug 2026, 12:46 | 90,235 | -4 |
| 27 Aug 2026, 11:33 | 90,239 | -14 |
| 26 Aug 2026, 08:24 | 90,253 | -4 |
| 25 Aug 2026, 10:11 | 90,257 | -19 |
| 24 Aug 2026, 10:23 | 90,276 | -31 |
| 22 Aug 2026, 17:44 | 90,307 | -2 |
| 21 Aug 2026, 07:33 | 90,309 | first reading |
30 posts held, back to 27 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 101 pages 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 18 September 2026 |
|---|---|
| Posts held | 30 (27 May 2026 – 18 September 2026) |
| Views total | 43,410 |
| Reactions total | 29 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 00:58 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.
Lifetime counters from Telegram’s own channel header, read 23 September 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.
215 reactions across 29 posts, in 7 distinct kinds. The most used accounts for 95.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 206 | 95.8% | |
| 👍 | 3 | 1.40% | |
| 🔥 | 2 | 0.93% | |
| 👏 | 1 | 0.465% | |
| 😁 | 1 | 0.465% | |
| 🤪 | 1 | 0.465% | |
| 🥰 | 1 | 0.465% |
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 30 of the 30 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 215 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 27 May 2026 to 18 September 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.
A Acute promyelocytic leukemia [Ref. Harrison 16'11/e p 636] Disseminated intravascular coagulation is associated with promyelocytic leukemia Acute promyelocytic leukemia (AML-M3) constitutes 5-10% of all cases of AML The leukemic cells of these type of anemia are hypergranular. Granules of these leukemic cells (promyelocytes) contain thromboplastin like material resulting in widespread disseminated intravascula…
❤3
Posted without readable text
Correct Answer - C Ans. is 'c' i.e., Monckebergs sclerosis First see types of arteries Based on their size and structural features. arteries are divided into three types. Large or Elastic arteries Its large branches, eg. - Innominate, Subclavian, common carotid, Pulmonary arteries. Medium sized or muscular arteries Small branches of aorta → Coronary, Renal Small arteries and arterioles Within substance of …
❤9
Posted without readable text
❤6
🚨 NEET PG 2026 DOCUMENT CLARIFICATION 🩺 A few important clarifications regarding the documents to carry on exam day: ✅ 1. ADMIT CARD ▪️ If your admit card consists of 2 pages, print BOTH pages in COLOUR on ONE A4 white sheet, BACK-TO-BACK. ▪️ Page 1 → Front side ▪️ Page 2 → Back side ▪️ Do not print only one page. 📌 2. REGISTRATION CERTIFICATE ▪️ Carry a COLOUR photocopy of your valid Permanent/Provisional SMC/MCI…
❤6
Correct Answer is A. Pseudopolyps are more commonly found in ulcerative colitis than Crohn's disease. These are discrete areas resulting from surviving islands of mucosa or heaped up granulation tissue. Since in ulcerative colitis there is is diffuse diffuse mucosal inflammation these pseudopolyps are diffusely distributed. Distinguishing features between Ulcerative colitis and Crohn's disease: Ulcerative colitis …
❤4
Posted without readable text
❤1
Just 1 week to NEET PG. One week between you and an exam that can influence so much of your life: Your work satisfaction. Your future income. Your recognition. Your city. Your working culture. Your professional freedom. But remember one thing: You don’t need more resources now. You need focus, revision and execution. 7 days. No distractions. No panic. Give it everything. 🔥 The exam is not asking whether you stu…
❤11
A Acute promyelocytic leukemia [Ref. Harrison 16'11/e p 636] Disseminated intravascular coagulation is associated with promyelocytic leukemia Acute promyelocytic leukemia (AML-M3) constitutes 5-10% of all cases of AML The leukemic cells of these type of anemia are hypergranular. Granules of these leukemic cells (promyelocytes) contain thromboplastin like material resulting in widespread disseminated intravascula…
❤7
Posted without readable text
❤7
Ans is c
❤4
Posted without readable text
❤14
Showing the 12 most recent of 30 posts we hold for @sketchymedical. 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 2 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.
Which of the following are the risk factor for cutaneous lymphoma?
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Which organism causing acute bacterial prostatitis ?
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 30 most recent posts we hold, published 27 May 2026 to 18 September 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 29 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“Pathology videos & books” (@sketchymedical), 90,091 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/sketchymedical.
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.