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Channel

Mls lectures

@MLS_Lectures

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry

1,951subscribers

-2 since we began measuring on 11 September 2026

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

Register entry

Telegram ID-1001475583530
TypeChannel
Username@MLS_Lectures
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 September 2026
Last confirmed live17 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/MLS_Lectures

Growth

1,9511,9531,95211 September 2026 — 1,953 subscribers13 September 2026 — 1,953 subscribers17 September 2026 — 1,951 subscribers11 September 202617 September 2026
3 measurements spanning 6 days, net -2. 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 1,951–1,953 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 04:391,951-2
13 Sept 2026, 08:001,953no change
11 Sept 2026, 11:221,953first reading

Engagement

19 posts held, back to 21 December 2022 — 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 19 posts for this entry, the most recent from 23 April 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
2h 19m
Average length
23m 18s

Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Recent posts

23 Apr 2025, 13:10 UTC≈1,620 viewsread 11 September 2026
File

Share Amniotic Fluid and vaginal secretions analysis.pptx

23 Apr 2025, 13:10 UTC≈1,550 viewsread 11 September 2026
File

Share Laboratory diagnosis and clinical differentiation of Acid-base disorders.pptx

Showing the 12 most recent of 19 posts we hold for @MLS_Lectures. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

🔰مليون محاضرة طبية💊 million medical lectures💉🧬🔬🥼🦷
@milion_medical_lectures · 10,2442 posts

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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

MLS ASCP Exam Prep
@ASCPi2 · 2,0151 post

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.

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.

تعلم المحاسبة
@accountingtody1 · 22,251
Telegram ranks this channel #58 of 74 here — alongside 73 others — read 21 September 2026
مكتبة الأطفال - مكتبة الطفل - قصص للصغار والناشئة
@Comics_gate · 27,131
Telegram ranks this channel #59 of 75 here — alongside 74 others — read 11 September 2026

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.

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

“Mls lectures” (@MLS_Lectures), 1,951 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/MLS_Lectures.

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.