Channel
@Mcat_uworld
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
7,037subscribers
-73 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001595752131 |
|---|---|
| Type | Channel |
| Username | @Mcat_uworld |
| Description | 💻 CRUSH THE HARDEST QUESTIONS. Daily high-yield practice Qs inspired by top question banks. Master the logic & spike your score! 📈🔥 #PracticeQuestions #UWorld #HighYield |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/Mcat_uworld |
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 11 August 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 07:40 | 7,037 | -5 |
| 6 Nov 2026, 10:37 | 7,042 | +3 |
| 31 Oct 2026, 02:08 | 7,039 | -5 |
| 28 Oct 2026, 08:36 | 7,044 | -4 |
| 25 Oct 2026, 07:07 | 7,048 | -3 |
| 21 Oct 2026, 21:18 | 7,051 | +2 |
| 18 Oct 2026, 19:38 | 7,049 | +7 |
| 15 Oct 2026, 13:45 | 7,042 | -5 |
| 12 Oct 2026, 11:15 | 7,047 | -15 |
| 5 Oct 2026, 08:58 | 7,062 | -12 |
| 17 Sept 2026, 11:16 | 7,074 | -4 |
| 9 Sept 2026, 05:17 | 7,078 | +2 |
| 4 Sept 2026, 07:01 | 7,076 | -19 |
| 1 Sept 2026, 04:18 | 7,095 | -6 |
| 29 Aug 2026, 06:18 | 7,101 | +4 |
| 22 Aug 2026, 17:18 | 7,097 | +6 |
| 19 Aug 2026, 14:23 | 7,091 | -2 |
| 16 Aug 2026, 16:04 | 7,093 | +3 |
| 12 Aug 2026, 15:33 | 7,090 | -10 |
| 9 Aug 2026, 13:11 | 7,100 | first reading |
21 posts held, back to 30 April 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 30 pages 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 21 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 13 November 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.
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Uworld | MCAT 2026 pinned Deleted message
Uworld | MCAT 2026 pinned Deleted message
Uworld | MCAT 2026 pinned Deleted message
Educational objective: Lesions of the jugular foramen can result in jugular foramen (Vernet) syndrome, which is characterized by the dysfunction of cranial nerves IX, X, and XI. Symptoms include dysphagia, hoarseness, loss of gag reflex on the ipsilateral side, and deviation of the uvula toward the normal side.
A lesion involving which of the following anatomical structures is most likely responsible for this patient's symptoms?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
A 67-year-old woman with a known history of lung cancer comes to the office due to hoarseness and difficulty swallowing. She has no disturbances in vision or hearing. On examination, there is loss of the gag reflex on the left side; when the patient is prompted to say "ah," the uvula deviates to the right side. a right lower lobe lung mass and several osteolytic rib lesions. MRI of the head also demonstrates multiple…
Educational objective: Tay-Sachs disease is an autosomal recessive disorder caused by [3-hexosaminidase A deficiency, which results in GM2 ganglioside accumulation. Key clinical features include progressive neurodegeneration and a cherry-red macular spot. In contrast to patients with Niemann-Pick disease, those with Tay Sachs disease have no hepatosplenomegaly.
Accumulation of which of the following metabolites is most likely present in this patient's tissues?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Showing the 12 most recent of 21 posts we hold for @Mcat_uworld. 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 5 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 lesion involving which of the following anatomical structures is most likely responsible for this patient's symptoms?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Accumulation of which of the following metabolites is most likely present in this patient's tissues?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which of the following microbial components is directly responsible for the severity of disease in this patient?
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
The patient most likely suffered from which of the following?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Which of the following is a likely cause of this patient's condition?
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 21 most recent posts we hold, published 30 April 2023 to 8 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.
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.
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.
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 3 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“Uworld | MCAT 2026” (@Mcat_uworld), 7,037 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Mcat_uworld.
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.