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 why it has no browse page of its own yet.
Growth
38 measurements spanning 64 days, net +6,129. 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 38
Measured (UTC)
Subscribers
Change
8 Oct 2026, 23:00
22,008
-108
4 Oct 2026, 14:20
22,116
-368
26 Sept 2026, 05:22
22,484
-176
17 Sept 2026, 08:41
22,660
+29
15 Sept 2026, 05:19
22,631
+303
13 Sept 2026, 17:01
22,328
+180
11 Sept 2026, 19:01
22,148
-12
9 Sept 2026, 04:16
22,160
+24
5 Sept 2026, 21:20
22,136
+99
3 Sept 2026, 18:40
22,037
+80
2 Sept 2026, 12:15
21,957
+71
1 Sept 2026, 13:13
21,886
-96
31 Aug 2026, 13:25
21,982
+2
30 Aug 2026, 10:47
21,980
+184
29 Aug 2026, 07:53
21,796
+301
28 Aug 2026, 06:54
21,495
+21
27 Aug 2026, 09:37
21,474
+558
26 Aug 2026, 07:03
20,916
+581
25 Aug 2026, 10:16
20,335
+607
24 Aug 2026, 11:53
19,728
first reading
Engagement
135 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 71 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.99%
avg views ÷ 22,008 subscribers
Avg views / post
657
32 posts measured
Reaction rate
0.656%
reactions ÷ views · ER floor
Posts in window
32
of 135 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
Window
Rolling 30 days · latest post in window 8 October 2026
Posts held
135 (28 July 2026 – 8 October 2026)
Views total
21,034
Reactions total
138
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Oct 2026, 13:22 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
≈731
Videos
≈498
Links
≈5,230
Lifetime counters from Telegram’s own channel header, read 9 October 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
15m 26s
Average length
1m 02s
Measured directly from 15 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
372 reactions across 123 posts, in 20 distinct kinds. The most used accounts for 41.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
156
41.9%
👍
70
18.8%
🔥
31
8.33%
🤯
30
8.06%
👏
20
5.38%
😱
10
2.69%
👀
9
2.42%
🤩
9
2.42%
😢
7
1.88%
❤🔥
6
1.61%
🥱
6
1.61%
🌚
3
0.806%
😁
3
0.806%
🤷
3
0.806%
🎉
2
0.538%
🙈
2
0.538%
🤔
2
0.538%
💔
1
0.269%
🗿
1
0.269%
🤨
1
0.269%
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 124 of the 135 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 372 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 135 most recent posts we hold, published 28 July 2026 to 8 October 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.
Quantum computer boldly goes where no quantum computer has gone before: Space
There's big news from the quantum world. A quantum computer has been used in space for the first time. The device was aboard a spacecraft in low Earth orbit and demonstrated technology that could eventually help solve a problem that has been bugging satellites for years.
The issue is that when orbiting satellites send their raw data back d…
First Direct Image of Protoplanet Swirling Surrounding Gas
The formation and evolution of planets is the driving force behind both where and how we might find life beyond Earth. This complex and lengthy process first begins with a massive ball of gas and dust that swirls until it flattens into a disk, followed by rocks ranging in size from pebbles to kilometer-scale objects clumping together in a process known as acc…
Nobel Prize in chemistry awarded to Kagan and Soai for developing 'spectacular' chemical reactions
Scientists Henri B. Kagan and Kenso Soai won the Nobel Prize in chemistry Wednesday for untangling mysterious mirror images in molecules, a discovery that has been used to develop countless drugs and transformed modern medicine.
Many molecules come in versions that look alike but are not exactly identical, like right a…
More cats: The key to happy countries?
National happiness is influenced by complex relationships beyond basic economic factors, according to a study by Javier I. Borráz-León of the Secretariat of Science, Humanities, Technology, and Innovation in Mexico City and colleagues.
Published Sept. 30, 2026, in the journal PLOS One, the study finds that cats and their parasites are strongly correlated with both positive and …
Francis Halzen wins Nobel Prize in physics for work on high-energy neutrinos of astrophysical origin
Francis Halzen won the Nobel Prize in physics on Tuesday for his efforts to demystify a rare group of neutrinos, tiny cosmic particles that scientists believe offer clues to how the universe evolved.
"It was a great surprise and I obviously didn't expect it," Halzen said, speaking to the committee by phone from Italy…
Switching on brain cells: The Nobel-winning science of optogenetics
In optogenetics, scientists control neurons by stimulating them with light—potentially unlocking breakthroughs for conditions such as dementia, depression and blindness.
Three scientists won the Nobel Prize in medicine on Monday for their work in the field: U.S. neurologist Karl Deisseroth and German scientists Peter Hegemann and Georg Nagel.
"Bein…
Our Smile mission is ready for science.
Its ultraviolet camera has already captured this substorm rippling through the northern lights around Earth’s North Pole.
Smile will study how Earth responds to the solar wind, helping us better understand space weather.
Read more: esa.int/Science_Explor…
Source: @esa
@EverythingScience
How to assemble science
When reading the news, you may occasionally be bemused by the flip-flopping science and health stories: one week you’re told coffee is good for you, the next week that it’s bad. Red wine extends your life, then it doesn’t. Over time, new scientific studies seemingly contradict one another, leaving us unsure what evidence to believe.
As a science journalist, I’ve learnt that often the actual p…
Don’t be fooled—LLMs don’t reason
On an afternoon in Seoul in March 2016, I watched a program I helped build put a stone on the fifth line of a Go board in what looked like a gift to its human opponent. Move 37 in game two of the five-game match looked so absurd that some commentators thought it was a programming glitch.
It wasn’t. AlphaGo won the game, ultimately triumphing 4-1 over Lee Sedol, one of the greatest p…
We can finally measure the damage each new coal, gas or oil project will do to people and nature
We have long known every tonne of carbon dioxide matters to the climate. But governments keep approving new fossil fuel projects—even as climate change worsens.
Until now, it's been difficult to say how much damage and extra warming a specific project will cause. Fossil fuel companies—and government agencies approving th…
When everyday sounds trigger big feelings: Inside misophonia research
Misophonia causes strong emotions in response to everyday sounds like chewing or sniffing. The condition often involves feelings of immediate distress or anger. This can be confusing and upsetting for children, adults and their families or friends.
Misophonia can disrupt family meals, school, work, friendships and other parts of daily life. At Yal…
Japan switches on its first full-stack room-temperature quantum computer — and scientists plan to scale it up to 10,000 qubits
Researchers in Japan have switched on "Shunkai," a neutral atom quantum computer that scientists hope to scale into a 10,000-qubit behemoth by March 2031.
Shunkai is the first full-stack system of its kind in Japan, meaning it features the software, control and hardware layers needed to read…
👍5🔥3
Showing the 12 most recent of 135 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
6
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
6
vacant every time we have ever looked
@EverythingScience named 6 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@nasasolarsystem named in 7 posts, 8 August 2026 – 2 September 2026
@nasaroman named in 4 posts, 18 August 2026 – 3 September 2026
@astro_jessica named in 3 posts, 24 August 2026 – 29 August 2026
@tylerg1998 named in 2 posts, 2 September 2026 – 3 September 2026
@esaoperations named in 1 post, 29 August 2026 – 29 August 2026
@nasauniverse named in 1 post, 8 August 2026 – 8 August 2026
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 8 October 2026 — this
entry's latest reading, not the date you are reading this.
“EverythingScience” (@EverythingScience), 22,008 subscribers as measured 8 October 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.