Crypto & trading — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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.
Growth
13 measurements spanning 41 days, net -65. 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 4,360–4,445 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 13:21
4,370
-7
12 Sept 2026, 23:19
4,377
-1
9 Sept 2026, 04:57
4,378
-11
4 Sept 2026, 06:56
4,389
-4
1 Sept 2026, 02:35
4,393
-5
28 Aug 2026, 19:03
4,398
-6
25 Aug 2026, 15:05
4,404
-3
22 Aug 2026, 11:18
4,407
-5
19 Aug 2026, 04:11
4,412
-9
12 Aug 2026, 21:13
4,421
-5
9 Aug 2026, 19:01
4,426
-8
7 Aug 2026, 04:40
4,434
-1
6 Aug 2026, 15:45
4,435
first reading
Engagement
6 posts held, back to 23 April 2020 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 6 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 6 posts for this entry, the most recent from 5 June 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
686 reactions across 5 posts, in 7 distinct kinds. The most used accounts for 41.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤡
284
41.4%
🔥
128
18.7%
👍
118
17.2%
🆒
102
14.9%
🗿
25
3.64%
🤯
20
2.92%
👌
9
1.31%
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 5 of the 6 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 686 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 23 April 2020 to 5 June 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Інформований трейдер краще розуміє фундаментальну цінність активу, ніж неінформований, тому може купувати недооцінені активи за низькою ціною та продавати переоцінені за високою. Виходячи з цієї логіки, можна виділити кілька типових сценаріїв взаємодії між інформованим та неінформованим трейдером:
1. Якщо неінформований трейдер використовує лімітний ордер, він надає ліквідність інформованому трейдеру і, як наслідок,…
Трейдери постійно використовують поняття попиту та пропозиції як основні чинники ціноутворення. Існують навіть свічні моделі технічного аналізу, які притягнули під цей підхід (що є маячнею, авжеж). Тим не менш, якщо ми хочемо використовувати більш об’єктивні моделі на кшталт Volume/Market Profile, то було б непогано на базовому рівні розуміти, як попит та пропозиція взагалі працюють.
Простий курс щодо цієї теми на K…
Пояснення механізмів ціноутворення через призму суцільно маніпулятивного характеру ринку виглядає вкрай привабливо для формування успішної теорії змови. Інструкція для створення такої теорії буде наступною:
1. Створіть та використовуйте термінологію, яка буде нести в собі “маніпулятивну” конотацію та спотворюйте вже існуючи терміни.
2. Пояснюйте ціноутворення не динамікою між попитом та пропозицією, а зовнішньою ке…
Всім привіт. Це Euthanasia.
Я лікар психіатр за спеціальністю, але життя склалось так, що вже декілька років я не займаюся реальною практикою на користь дейтрейдингу.
На даний момент ми всі можемо бачити перенасичення інтернет середовища контекстом трейдингу, що зумовлено доступністю криптовалют та популярністю “проп” компаній. У комплексі з відсутністю спеціалізованої освіти та біржової інфраструктури в Україні пр…
Showing the 6 most recent of 6 posts we hold for @doceuthanasia. 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.
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.
Mykola Udianskyi official Channel @udianskyi · 93,529 Telegram ranks this channel #26 of 80 here — alongside 79 others — read 28 August 2026
Криминальный бит @criminal_beat1 · 26,916 Telegram ranks this channel #54 of 57 here — alongside 56 others — read 15 September 2026
Udianskaya/Music 🎶 @musicud21 · 36,730 Telegram ranks this channel #56 of 56 here — alongside 55 others — read 1 September 2026
cryptomannn @cryptomannnisnotacult · 38,442 Telegram ranks this channel #57 of 75 here — alongside 74 others — read 31 August 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total, of which the 4 where it ranks highest are shown above. 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Euthanasia” (@doceuthanasia), 4,370 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/doceuthanasia.
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.