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Created
Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
4 measurements spanning 6 days, net -5. 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 9,750–9,757 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 13:44
9,751
-3
9 Aug 2026, 05:01
9,754
-1
6 Aug 2026, 12:25
9,755
-1
6 Aug 2026, 10:31
9,756
first reading
Engagement
22 posts held, back to 18 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 15 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
9.22%
avg views ÷ 9,751 subscribers
Avg views / post
899
22 posts measured
Reaction rate
0.566%
reactions ÷ views · ER floor
Posts in window
22
of 22 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 10 August 2026
Posts held
22 (18 July 2026 – 10 August 2026)
Views total
19,782
Reactions total
112
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 14:49 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
≈304
Videos
≈1,930
Links
≈1,190
Lifetime counters from Telegram’s own channel header, read 12 August 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
11m 43s
Average length
33s
Measured directly from 21 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
112 reactions across 22 posts, in 16 distinct kinds. The most used accounts for 20.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
23
20.5%
❤
20
17.9%
👏
16
14.3%
🤣
13
11.6%
👎
6
5.36%
😈
6
5.36%
🤔
6
5.36%
🥰
6
5.36%
🔥
5
4.46%
🐳
3
2.68%
👻
2
1.79%
😁
2
1.79%
🆒
1
0.893%
🤩
1
0.893%
🤮
1
0.893%
🥱
1
0.893%
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 22 of the 22 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 112reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 18 July 2026 to 10 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.
Aluminum oxide aerogel maintains a temperature of only 39°C (102°F) on the rear surface when exposed to two burners with a temperature of 1000°C (1832°F), thanks to its ultra‑low thermal conductivity and highly porous, nanostructured aluminum oxide composition.
The Chinese have released a drone light for hiking that can illuminate an entire camp. The Heone-X connects via a wire to a ground‑based power bank and can operate for up to 24 hours without recharging. It is resistant to rain and wind gusts up to 10 m/s, and it delivers up to 16,000 lumens of brightness. It costs $819.
Every year, the shores of Costa Rica host the largest gathering of sea turtles on Earth — an extraordinary event known as an arribada (a Spanish word meaning “arrival”).
AI has learned to show the past — the GL4SS service has appeared, which turns any point on the map into a video from another era.
It’s enough to select a location on the map, specify a year — whether it’s 252 million years ago or 2050 — and the neural network will generate a short video with sound, showing what the place might have looked like in the chosen era.
The service works right in the browser: you can navig…
Now you can turn your handwriting into a computer font using Claude Code.
This is the skill that all schoolchildren and students have been dreaming of.
The process is simple: write the alphabet and numbers on a sheet, take a photo, and upload it to Claude. The AI recognizes the characters, removes the background, and creates a finished font.
😳 In China, a drone chased a man out of the sea after nightfall.
At a beach in Qingdao, a drone approached a swimmer and demanded that he get out of the water via a loudspeaker. This is how local authorities enforce the ban on night swimming.
This robot can catch up with anyone: China has created a wheeled robot dog that can run at high speeds even on mountains 🏃
The model is called Unitree Super Athlete AS2-W, and it can travel at speeds of up to 30 km/h and overcome the most difficult obstacles.
In addition to these skills, the robot dog can carry a load of up to 180 kg 🔥
An unusual ancient tree in China, growing deep in the mountains of Yunnan Province.
❤1
Showing the 12 most recent of 22 posts we hold for @Educational_tg. 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
Citation-graph rank — 791,501 of 1,160,990entries 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.
Forward network
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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Educational!” (@Educational_tg), 9,751 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Educational_tg.
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.