Channel
@OssaDraconum
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
58subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001854663615 |
|---|---|
| Type | Channel |
| Username | @OssaDraconum |
| Description | Привет, меня зовут Семён. Это канал моего блога Ossa Draconum (ossadraconum.com), в котором я рассказываю о палеонтологии и зоологии, а также о мифологии, фантастике и других интересующих меня темах. |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/OssaDraconum |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 06:31 | 58 | no change |
| 7 Aug 2026, 15:30 | 58 | first reading |
13 posts held, back to 18 June 2026 — 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 13 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 August 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.
Measured directly from 1 video 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.
86 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 43.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 37 | 43.0% | |
| 😱 | 15 | 17.4% | |
| ❤ | 6 | 6.98% | |
| 🤔 | 6 | 6.98% | |
| 🤯 | 6 | 6.98% | |
| 👍 | 5 | 5.81% | |
| 🦄 | 5 | 5.81% | |
| 🌚 | 4 | 4.65% | |
| custom 5388885712420483096 | 1 | 1.16% | |
| 😁 | 1 | 1.16% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 13 of the 13 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 86 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 18 June 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Флора и фауна колхидского леса: 1. Папоротники: костенец сколопендровый, или листовик обыкновенный (Asplenium scolopendrium), костенец волосовидный (A. trichomanes), многорядник (Polystichum sp.). 2. Папоротник птерис критский (Pteris cretica). 3. Наперстянка ржавая (Digitalis ferruginea). 4. Ложнодождевик обыкновенный (Scleroderma citrinum). 5. Паук-волк трохоза (Trochosa sp.). 6. Скорпионница (Panorpa sp.). 7. Мол…
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Реликтовый колхидский лес
🔥8❤1
Гулял вчера по лесу, кишащему бурыми медведями
😱10🔥1🤯1
Оказывается, природа дважды изобрела морских коньков! На основе музейных экземпляров рыб, выловленных у южного побережья Австралии, учёные описали новый род Australyichthys, который включает три вида: A. minotaur, A. paradoxus (описанные ранее как морские коньки) и A. aegis. Авторы предложили называть их в обиходе «морскими маппетами» — в честь героев «Маппет-шоу». Филогенетический анализ показал, что морские маппе…
🔥5🤯1
Периодически обновляю свой курс по палеонтологии. В сегодняшнем обновлении: 1. Древнейший янтарь (карбон → девон). Источник: Luo et al., 2026, Science Advances. 2. Новая версия Международной хроностратиграфической шкалы (12/2024 → 06/2026). Источник: ICS. Ссылка на курс | Скидка для читателей
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Джордж Мартин теперь большой учёный
🤔4👍1😁1
Статья, посвящённая происхождению ужасного волка, о которой я рассказывал в прошлом году, прошла рецензирование и была опубликована в журнале Cell Genomics. 🔲 Gedman et al., 2026, Cell Genomics / CC BY-NC-ND 4.0 #палеонтология #зоология
❤3😱3🔥2
Что ж, это был интересный экспириенс 🔲 Universal Pictures
👍4
Сделал буктизер по первым четырём главам 👀 #MagnumOpus
🔥5
— Когда-то люди решили, что думать за них будут машины, понадеявшись, что станут от этого свободнее. Но вместо этого они просто позволили хозяевам машин поработить их. Фрэнк Герберт, «Дюна» (перевод Юрия Соколова)
🌚4🤔2custom 53888857124204830961
В древних дождевых лесах Квинсленда, на северо-востоке Австралии, учёные открыли паука с удивительным способом охоты. Этот паук — авторы отнесли его к роду Propostira из семейства пауков-тенётников (Theridiidae), но как новый вид ещё не описали — охотится исключительно на азиатских муравьёв-портных (Oecophylla smaragdina), обитающих на деревьях. Муравьи эти очень агрессивны и нетерпимы к чужакам, поэтому для ловли с…
🤯4😱2
А через них гуськом Бредет толпа страшилищ. (Борис Пастернак, 1936) #палеонтология
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Showing the 12 most recent of 13 posts we hold for @OssaDraconum. 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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Ossa Draconum” (@OssaDraconum), 58 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/OssaDraconum.
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.