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Channel

EverythingScience

@EverythingScience

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

20,764subscribers

+4,885 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001075490389
TypeChannel
Username@EverythingScience
DescriptionDiscover the best, human-curated science facts, news, discoveries, videos, and more! Chat with us: @EverythingScienceChat Contact: @DigitisedRealitySupport
Created27 September 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/EverythingScience

Topic

Science — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.

Growth

15,87922,66019,269.520,7646 August 202610 November 2026
65 measurements spanning 97 days, net +4,885. 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 14,862–23,677 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
10 Nov 2026, 16:5120,764-129
9 Nov 2026, 02:5820,893-95
7 Nov 2026, 16:5820,988-134
6 Nov 2026, 15:5721,122-86
5 Nov 2026, 13:5121,208-3
4 Nov 2026, 16:0621,211-29
3 Nov 2026, 12:5621,240-50
2 Nov 2026, 15:0021,290-73
1 Nov 2026, 12:0121,363-54
31 Oct 2026, 12:3721,417-137
30 Oct 2026, 12:1521,554-100
29 Oct 2026, 10:1621,654-62
28 Oct 2026, 09:1021,716-51
27 Oct 2026, 08:1521,767-44
26 Oct 2026, 07:2721,811+21
25 Oct 2026, 04:4821,790+26
24 Oct 2026, 02:4421,764+20
23 Oct 2026, 00:1821,744-63
22 Oct 2026, 01:3021,807+114
20 Oct 2026, 22:5821,693first reading

Engagement

180 posts held, back to 28 July 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 93 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.96%
avg views ÷ 20,764 subscribers
Avg views / post
615
35 posts measured
Reaction rate
0.669%
reactions ÷ views · ER floor
Posts in window
35
of 180 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held180 (28 July 2026 – 11 November 2026)
Views total21,516
Reactions total144
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 15:51 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈738
Videos
≈503
Links
≈5,290

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
24m 51s
Average length
1m 18s

Measured directly from 19 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.

Reaction mix

549 reactions across 167 posts, in 29 distinct kinds. The most used accounts for 39.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤21939.9%
👍8315.1%
🤯498.93%
🔥437.83%
👏366.56%
👀173.10%
🫡142.55%
🤩122.19%
😱112.00%
😢101.82%
🤔71.28%
❤‍🔥61.09%
🙈61.09%
🥱61.09%
🤷50.911%
✍30.546%
🌚30.546%
😁30.546%
😎30.546%
⚡20.364%
9 further kinds112.00%

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 168 of the 180 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 549 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 180 most recent posts we hold, published 28 July 2026 to 11 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 35 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 16:00 UTC326 views4 reactionsread 12 November 2026

Static electricity remains shockingly mysterious Like most cats, Cooper used to love climbing into cardboard boxes. But one day, a box full of foam packing peanuts caught this tabby by surprise. Her owner, Sean McGrath, soon heard a commotion coming from the box and pulled her out. Thanks to static electricity, foam pellets now clung to her fur from head to tail. Cooper seemed stunned. “She just stood there, frozen,…

❤4

11 Nov 2026, 10:01 UTC391 views3 reactionsread 12 November 2026
Video

No other traveler has ever journeyed so far from home. Voyager 1 is about to become the first human-made object to reach a distance of one light-day from Earth, or about 16 billion miles. ½ Source: @NASASolarSystem @EverythingScience

❤1🤯1🫡1

11 Nov 2026, 04:00 UTC409 views4 reactionsread 12 November 2026

New placenta-on-a-chip model allows engineers to study effects of environmental toxins Exposure to toxic metals like cadmium has been associated with adverse pregnancy outcomes such as miscarriage, preterm birth and low birth weight. Because these effects are difficult and ethically challenging to study directly in pregnant women, how such exposures affect pregnancy has remained poorly understood. The placenta-on-a-…

⚡2❤2

10 Nov 2026, 22:00 UTC416 views4 reactionsread 12 November 2026
Video

Has AI cracked a Half-Century-Old Problem in Physics? Has AI tackled a problem in physics that has been open for more than half-a-century? It seems so. Brian Greene explains OpenAI’s claim that a dominant component of the Standard Model of Particle Physics – so called, Yang-Mills Gauge Theory – has now been proven mathematically sound. For decades, physicists have used the equations of the Standard Model to make exq…

🤔2🤯2

10 Nov 2026, 16:10 UTC410 views2 reactionsread 12 November 2026

These Robotic Arms Are Powered by Algae. Watch How They Move What if a robot could be squishy? Soft, flexible robots could be useful for a wide variety of applications, including artificial muscles and wearable devices—or really any application where a robot must be especially delicate. This is what has fueled development of “soft actuators” that can flex like a bicep and have a fine-tuned sense of touch as in the h…

❤2

10 Nov 2026, 10:10 UTC412 views1 reactionsread 12 November 2026

A Perseverance Experiment Could Help Astronauts Prepare for Dust Storms on Mars Martian dust is a major hurdle for human missions to Mars. Like Moon dust, its fine size and electrostatically charged nature allow it to stick to spacesuits, metal, and just about any other surface they come into contact with. Dust storms are also common on Mars, ranging from small whirlwinds that happen daily to global dust storms that …

👏1

10 Nov 2026, 04:09 UTC443 views5 reactionsread 12 November 2026

Swift has fallen: NASA's 22-year-old space telescope burns up over Sumatra It's the end of an era: NASA's Swift telescope has reached the conclusion of its nearly 22-year mission, burning up in Earth's atmosphere after studying some of the universe's most powerful and mysterious events. According to NASA, the spacecraft reentered the atmosphere at "7:39 a.m. EST Wednesday over the North Sumatra region of Indonesia, …

🫡5

5 Nov 2026, 16:13 UTC752 views1 reactionsread 12 November 2026

New Research Tests Whether AI Models Know Their Own Thoughts What’s on your mind right now? You can probably answer this question without thinking too hard about it. Being aware of our own thought processes — a capacity called introspection — seems to come naturally to us. Yet among philosophers and psychologists, introspection is a subject of active debate. Some think it’s closely related to consciousness. Others a…

❤1

5 Nov 2026, 02:21 UTC724 views3 reactionsread 12 November 2026

NASA’s Swift Observatory Is Falling to Earth. Here’s What to Know About the Impending Impact After 22 years in orbit and a failed rescue mission this summer, it is highly likely that the Neil Gehrels Swift Observatory will crash into Earth sometime next week. It is not known where on the planet the spacecraft—which is roughly as big as a large elevator—will fall. Despite its size, experts say the risk to the public i…

🫡3

4 Nov 2026, 11:00 UTC657 views3 reactionsread 12 November 2026

Physicists step closer to the 'Zeptoverse' after 42-year particle search Physicists have found evidence of a particle decay so rare that it is expected to occur only around once in every 10 billion "beauty" particles. The result, from the upgraded LHCb experiment at CERN's Large Hadron Collider (LHC), follows a search spanning more than 40 years and brings physicists closer to exploring the "Zeptoverse"—an unexplored…

🤯3

4 Nov 2026, 05:00 UTC588 views3 reactionsread 12 November 2026

Zombies are real—just ask the parasites taking over the bodies and brains of insects and rodents Zombies have taken many forms in popular culture. In Michael Jackson's "Thriller" music video, corpses climb out of their graves and perform an impressively coordinated dance. In HBO's "The Last of Us," a fungus infects humans, takes over their bodies and turns them into hosts that help spread the infection. Even Plankton…

👀3

3 Nov 2026, 23:00 UTC498 views2 reactionsread 12 November 2026

Hera Probe Sees Asteroid Pair Separately for First Time Planetary defense is a growing concern among the scientific community, as efforts have been made to design and implement missions meant to deflect incoming threats to the Earth well in advance. In 2022, NASA intentionally collided the Double Asteroid Redirection test (DART) planetary defense spacecraft into the smaller asteroid of the binary asteroid, Didymos an…

🤩2

Showing the 12 most recent of 180 posts we hold for @EverythingScience. 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.

Mentions

Named by 7 registered channels — 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.

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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“EverythingScience” (@EverythingScience), 20,764 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/EverythingScience.

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.