Channel
@cassiopeia_press
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,872subscribers
-8 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002404613850 |
|---|---|
| Type | Channel |
| Username | @cassiopeia_press |
| Created | Between 1 September 2024 and 13 December 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/cassiopeia_press |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 18:43 | 2,872 | -5 |
| 9 Aug 2026, 23:36 | 2,877 | -2 |
| 6 Aug 2026, 16:24 | 2,879 | -1 |
| 6 Aug 2026, 11:04 | 2,880 | no change |
| 6 Aug 2026, 09:47 | 2,880 | first reading |
20 posts held, back to 13 December 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof 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 19 April 2026. An engagement rate over an empty window would be a number about nothing.
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.
236 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 43.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 102 | 43.2% | |
| 👍 | 66 | 28.0% | |
| 🔥 | 39 | 16.5% | |
| 🤯 | 12 | 5.08% | |
| ❤🔥 | 7 | 2.97% | |
| 👏 | 3 | 1.27% | |
| 🌭 | 2 | 0.847% | |
| 😢 | 2 | 0.847% | |
| 🦄 | 2 | 0.847% | |
| 🤬 | 1 | 0.424% |
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 20 of the 20 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 236reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 13 December 2024 to 19 April 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.
ITER slipped to 2034. The money went elsewhere. Private fusion funding has 8× since 2021, but the physics has not kept pace — and the only state with a published commercial deadline is China. John Lawson's 1957 criterion — the density × temperature × confinement-time threshold a plasma needs to cross for a self-sustaining fusion reaction — has been the universal yardstick for 69 years. For 65 of them it was the goal…
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Two weeks compressed the quantum clock. Nobody is ready for what comes after. The qubit count needed to break internet cryptography fell by 40x, then again by 20x, within a fortnight — and that is not the surprising part. Since Peter Shor's 1994 paper, public-key cryptography has had an invisible expiry date stamped on it. RSA, ECC, Diffie-Hellman all rest on problems that a large enough quantum computer factors in …
👏3
Psychiatry's quiet revolution isn't where you think While psychedelics grabbed headlines, a molecule nobody's heard of quietly became the most promising psychiatric breakthrough in decades. The psychedelic therapy movement hit a wall in March. The EPISODE trial — the most rigorously blinded psilocybin study ever — tested 25mg in 144 patients with treatment-resistant depression and missed its primary endpoint: 17% re…
🔥6❤2
Democracies Are Losing — And the West Is Where It's Happening For the first time in 20 years, autocracies outnumber democracies globally, and six of the ten countries sliding fastest are in Europe and North America. Two flagship democracy indexes published within 24 hours of each other in March told the same story from different angles. Freedom House recorded the 20th consecutive year of global freedom decline — onl…
❤6
The cancer drug revolution just got an upgrade Between a CRISPR injection that could kill the $500K price tag and an AI vaccine hitting 75% response rates, the economics of cancer treatment are about to break open. The biggest story is a Nature paper from UCSF that could reshape cancer treatment economics. Researchers used CRISPR nanoparticles to create CAR-T cells directly inside the body — no extraction, no lab, n…
❤8
🧬 The Heavy Truth About Living Forever 🏃♂️ Move Your Ass, Even If It's Big Reju Report, British Journal of Sports Medicine Here’s a kick in the pants for the "skinny fat" crowd: being thin doesn't mean shit if you can't run up a flight of stairs. A massive meta-analysis of nearly 400,000 people found that cardiorespiratory fitness is a stronger predictor of longevity than BMI; in fact, being unfit and normal weight…
❤5👍5🌭2
👽 New Features in Space Frontiers - We now offer AI-powered search exclusively across standards, manuals, PubMed, Wikipedia, and more. - We have added the advanced Kimi 2 model, enabling deep searches across a vaster range of publications. - Publications at the site are commentable, so feel free to share any insights on publications and participate in discussions. Try out these new features for your research at Spa…
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🎯 Newly Published Research Feed — Relaunched! Space Frontiers now offers a live feed and RSS for newly published papers. Discover the latest research from all publishers on your favorite topics - delivered daily to your preferred RSS reader!
❤8👍8❤🔥4🔥4
🌎 Space Frontiers 🪐 Now you can create your own scholarly digest, ask scientific questions, navigate and find related papers, translate articles, and explore an extensive collection of science, books, standards, manuals, and magazines at https://spacefrontiers.org. Simply enter your question and await the response. We have used this platform to produce previous digests, and now you can do the same. Join us in pushi…
❤26👍2🔥2
🔴 Mars Research 🧪 Ancient Mars Was Cold and Wet, Not Just Dry Adomas Valantinas, John F Mustard, Vincent Chevrier Scientists found that Mars' red dust contains a mineral called ferrihydrite, not just hematite as previously thought. This suggests Mars had a cold, wet period in its early history before becoming the desert we see today. This challenges the idea that Mars has always been dry. (?) 🚀 Mars Sample Collect…
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🧠 Theory of Mind Research 🤖 Automated Bayesian Theory of Mind for Open-ended Reasoning Zhining Zhang, Chuanyang Jin, Mung Yao Jia Researchers introduced AutoToM, a novel automated Bayesian Theory of Mind method that can operate in any domain, infer any mental variable, and conduct robust ToM reasoning of any order. Unlike previous approaches that rely on either error-prone LLMs or rigid handcrafted models, AutoToM i…
🔥9❤3
🤖 Building AI-Optimized Data Centers Digest 💡 Shift to Data-Centric AI Development Paradigm Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai A comprehensive survey reveals a paradigm shift from model-centric to *data-centric AI*, emphasizing systematic data engineering across the entire lifecycle. This approach could reduce AI system development costs while improving reliability through better training data management…
❤3👍2🔥1
Showing the 12 most recent of 20 posts we hold for @cassiopeia_press. 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.
Citation-graph rank — 216,075 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Cassiopeia” (@cassiopeia_press), 2,872 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cassiopeia_press.
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.