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Telegram profile photo for MEDICAL ACADEMY

Channel

MEDICAL ACADEMY

@suraka23

On this record: Topic · Growth · Engagement · Telegram's recommendations · Cite this entry

1,738subscribers

-23 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001428853435
TypeChannel
Username@suraka23
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 September 2026
Last confirmed live6 November 2026
Measurements held19
Confirmed unchanged3 times, most recently 6 November 2026
On Telegramt.me/suraka23

Topic

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 24 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Growth

1,7351,7611,7487 August 2026 — 1,761 subscribers10 August 2026 — 1,760 subscribers16 August 2026 — 1,757 subscribers23 August 2026 — 1,756 subscribers27 August 2026 — 1,753 subscribers30 August 2026 — 1,751 subscribers2 September 2026 — 1,748 subscribers6 September 2026 — 1,743 subscribers11 September 2026 — 1,742 subscribers14 September 2026 — 1,741 subscribers19 September 2026 — 1,743 subscribers24 September 2026 — 1,743 subscribers29 September 2026 — 1,742 subscribers6 October 2026 — 1,738 subscribers13 October 2026 — 1,737 subscribers15 October 2026 — 1,736 subscribers18 October 2026 — 1,735 subscribers27 October 2026 — 1,736 subscribers30 October 2026 — 1,738 subscribers1,7387 August 202630 October 2026
19 measurements spanning 85 days, net -23. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,731–1,765 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Oct 2026, 20:001,738+2
27 Oct 2026, 22:071,736+1
18 Oct 2026, 11:501,735-1
15 Oct 2026, 21:591,736-1
13 Oct 2026, 08:381,737-1
6 Oct 2026, 23:541,738-4
29 Sept 2026, 19:551,742-1
24 Sept 2026, 02:171,743no change
19 Sept 2026, 14:181,743+2
14 Sept 2026, 21:581,741-1
11 Sept 2026, 09:381,742-1
6 Sept 2026, 19:381,743-5
2 Sept 2026, 08:281,748-3
30 Aug 2026, 04:131,751-2
27 Aug 2026, 06:361,753-3
23 Aug 2026, 21:271,756-1
16 Aug 2026, 22:161,757-3
10 Aug 2026, 17:141,760-1
7 Aug 2026, 05:211,761first reading

Engagement

Posts not read yet. This entry is on the register from its profile alone; the post reader has not reached it. Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind it.

Appears in Telegram’s recommendations for other channels

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.

Dr Hegazi ❤️️
@Mohamedhegazi368 · 30,755
Telegram ranks this channel #23 of 78 here — alongside 77 others — read 6 September 2026
مشروع ضاكتور
@Mashrou3_Dactoor · 45,049
Telegram ranks this channel #27 of 82 here — alongside 81 others — read 30 August 2026
سافر (Suffer) يا دكتور
@Suffer_ya_doctor · 136,187
Telegram ranks this channel #29 of 88 here — alongside 87 others — read 16 August 2026

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.

Cite this entry

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 October 2026 — this entry's latest reading, not the date you are reading this.

“MEDICAL ACADEMY” (@suraka23), 1,738 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/suraka23.

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.