Einstein's riddle The situation There are 5 houses in five different colors. In each house lives a person with a different nationality. These five owners drink a certain type of beverage, smoke a certain brand of cigar and keep a certain pet. No owners have the same pet, smoke the same brand of cigar or drink the same beverage. The question is: Who owns the fish? Hints the Brit lives in the red house the Swede keeps…

Channel
Medical, Nurse, Disease, Tutorial, Videos, Animations
@Medical_Nurses_Disease_Tutorial
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
550subscribers
-1 since we began measuring on 3 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001169067637 |
|---|---|
| Type | Channel |
| Username | @Medical_Nurses_Disease_Tutorial |
| Created | Between 1 March 2018 and 24 July 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 3 September 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 12 September 2026 |
| On Telegram | t.me/Medical_Nurses_Disease_Tutorial |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Sept 2026, 10:38 | 550 | -1 |
| 3 Sept 2026, 18:22 | 551 | no change |
| 3 Sept 2026, 17:47 | 551 | first reading |
Engagement
20 posts held, back to 24 July 2020 — 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 10 December 2020. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 1h 07m
- Average length
- 3m 57s
Measured directly from 17 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
"A Love Never Forgotten" 🎼🎹🎸🎻 (Birîna kevn) Artist: #Harir_Minaei
Artist: Azizian Rahim ⤵️ 👐👇
+10,000 Biology, Questions, Tests and Polls, 👉🏻 @Biology_Questions_Test_Poll
Welcome, Bi xêr hatî, добро пожаловать! 👇🏻💞 0️⃣Dreamworks Disney PIXAR Amimation 👉🏻@dreamwork_Disney_pixar_amimation 1️⃣Medical, Nurses, Disease, Tutorial, Videos 👉🏻@Medical_Nurses_Disease_Tutorial 2️⃣+10,000 Biology, Questions, Test, Poll, 👉🏻@Biology_Questions_Test_Poll 3️⃣Biology, Videos, Animations, Tutorial 👉🏻@Biology_Video_Animation_Tutorial 4️⃣Best English Songs for kids 👉🏻@Best_English_kids_Songs 5️⃣Learning …
What is CRISPR Animation
Water and Sodium Balance, Hypernatremia and Hyponatremia, Animation
Unsaturated vs Saturated vs Trans Fats, Animation
The Immune System Overview, Animation
The Endocrine System, Overview, Animation
Neuroscience Basics Neuroglia Functions, Animation
Neuroscience Basics GABA Receptors and GABA Drugs, Animation
Showing the 12 most recent of 20 posts we hold for @Medical_Nurses_Disease_Tutorial. 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.
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
Named by 1 registered channel — 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.
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.
@Biology_Questions_Test_Poll · 6522 postsBest English Songs for kids
@Best_English_kids_Songs · 2,1111 postBiology, Videos, Animations, Tutorial
@Biology_Video_Animation_Tutorial · 5291 postDreamworks Disney PIXAR Amimation
@dreamwork_Disney_pixar_amimation · 7131 postLearning English Through Audio Books
@English_AudioBooks1 · 2,9101 postCOMPUTER_HACKER
@ZTOX0 · 181 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.
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 12 September 2026 — this entry's latest reading, not the date you are reading this.
“Medical, Nurse, Disease, Tutorial, Videos, Animations” (@Medical_Nurses_Disease_Tutorial), 550 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/Medical_Nurses_Disease_Tutorial.
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.