Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 56% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
8,250 average views per post against 14,314 subscribers — an engagement rate of 57.6%. Across the 5,708 registered channels in the same cohort — 10,000–31,618 subscribers, posting mainly in English — the middle half sit between 1.96% and 10.8%, with a median of 5.32%.
What this was computed from
Window
30 days (23 August 2026 – 22 September 2026)
Posts measured
11 of 11 published in the window (1 exact, 10 rounded by Telegram)
Views totalled
90,739
Mature posts only
62.2% over 10 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 22 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
32 measurements spanning 40 days, net -752. 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 11,653–18,596 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 23:17
14,314
-26
15 Sept 2026, 18:55
14,340
-53
14 Sept 2026, 00:38
14,393
-20
12 Sept 2026, 09:37
14,413
+829
10 Sept 2026, 07:17
13,584
-755
6 Sept 2026, 23:19
14,339
-2,758
4 Sept 2026, 12:16
17,097
-600
2 Sept 2026, 20:43
17,697
-29
1 Sept 2026, 20:14
17,726
-14
31 Aug 2026, 22:35
17,740
-24
31 Aug 2026, 01:44
17,764
-15
30 Aug 2026, 02:07
17,779
-16
28 Aug 2026, 23:12
17,795
+1,985
27 Aug 2026, 20:53
15,810
-20
26 Aug 2026, 19:58
15,830
-29
25 Aug 2026, 19:34
15,859
-24
24 Aug 2026, 22:29
15,883
+458
23 Aug 2026, 07:47
15,425
-1,824
21 Aug 2026, 20:36
17,249
-462
20 Aug 2026, 18:04
17,711
first reading
Engagement
57 posts held, back to 24 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
57.6%
avg views ÷ 14,314 subscribers
Avg views / post
8,250
11 posts measured
Reaction rate
34.3%
reactions ÷ views · ER floor
Posts in window
11
of 57 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. It is computed over the 10 of 11 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
57 (24 July 2026 – 3 September 2026)
Views total
90,739
Reactions total
31,034
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:12 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
Video runtime
7m 17s
Average length
1m 13s
Measured directly from 6 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
281,634 reactions across 56 posts, in 9 distinct kinds. The most used accounts for 22.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
63,456
22.5%
🤩
62,719
22.3%
🎉
62,452
22.2%
🔥
39,457
14.0%
👍
33,528
11.9%
💯
9,445
3.35%
🏆
8,128
2.89%
👏
2,446
0.869%
❤🔥
3
0.001%
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 56 of the 57 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 281,634 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 24 July 2026 to 3 September 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.
💰💰 WHO ISSUES A STABLECOIN MATTERS
A stablecoin may track the US dollar, but that does not automatically make it equivalent to money held in a bank account.
Before using any stablecoin, check five things:
• Issuer: Who is legally responsible for the token?
• Reserves: What assets support its value?
• Redemption: Can holders exchange it for fiat currency?
• Protection: Are reserves separated from the issuer’s own f…
💰 NEW IN METATRONICS: CASHBACK ON PARTNER DEPOSITS
Invite partners and receive cashback from their deposits from 3 levels:
🟡 LVL1 — 10%
🟡 LVL 2 — 5%
🟡 LVL 3 — 3%
The cashback is calculated automatically and appears immediately under Career → Cashback.
In the app, you can see:
• the partner’s name;
• their line and the amounts;
• the deposit amount;
• your cashback amount;
• the date when the cashback becomes av…
🇬🇧 LONDON STOCK EXCHANGE IS MOVING STOCKS ONCHAIN
London Stock Exchange Group is taking another major step toward blockchain-based market infrastructure.
LSEG has announced a partnership with Payward, Kraken’s parent company, to bring tokenized UK equities to market.
The plan goes far beyond simply putting stocks onchain.
LSEG aims to make shares of UK-listed companies available in tokenized form and tradable beyo…
📘 Registered does not automatically mean approved
A company may appear in an official database because it submitted a regulatory form.
That does not necessarily mean the regulator has:
• approved its investment products
• verified every statement in the filing
• endorsed the company
• confirmed that an investment is safe
• licensed it to provide every service it advertises
This distinction matters because scammer…
📘 Why security teams sometimes publish a vulnerability after fixing it
Publishing complete technical details too early can give attackers a working guide while users and node operators remain exposed.
Coordinated disclosure usually follows a controlled sequence:
1. A researcher reports the vulnerability privately.
2. The team confirms its scope and potential impact.
3. Developers build and test a patch.
4. Operato…
📘 A crypto sponsorship is not automatically a product integration
When a blockchain or crypto company announces a major partnership, identify what was actually confirmed.
There are three different levels:
1. Branding
A logo appears on shirts, broadcasts, social media or advertising campaigns.
This creates visibility, but it does not add payment functionality.
2. Acceptance
Customers can use the asset to purcha…
🪙 A $0.01 token is not automatically cheap
“It only needs to reach $1.”
Before accepting that argument, check how many tokens exist.
Here’s a hypothetical comparison:
• Token A: $0.01 × 100 billion circulating tokens = $1 billion market cap
• Token B: $100 × 1 million circulating tokens = $100 million market cap
Token A has a much lower unit price, but its circulating market value is ten times larger.
If Token …
💶 Your stablecoin can stay at $1 while losing value in euros
A dollar stablecoin tracks the dollar. Its value in other currencies still moves.
Here’s a hypothetical example, ignoring fees:
You hold 1,000 tokens, each worth exactly $1.
• At €0.92 per dollar, your balance is worth €920.
• If the dollar falls to €0.85, that same balance is worth €850.
You still have 1,000 tokens. The peg never broke. But their euro…
💰 A token is not automatically a security
A blockchain can record ownership of almost anything.
But the technology used to create a token does not define what that token legally represents.
A token may represent:
• access to a digital service
• ownership of an asset
• a share in a company
• a debt obligation
• voting or governance rights
The important question is not simply which blockchain the token uses.
The …
📘 Tokenisation changes the infrastructure, not the underlying risk
A tokenised bond is still a bond.
The investor lends money to an issuer and expects repayment according to the bond’s terms.
Tokenisation changes how the asset is recorded and transferred:
• ownership is registered on a blockchain
• transactions can settle faster
• cash and securities can move within connected systems
• fewer intermediaries may be…
🤖 The market runs 24/7. You don’t have to.
METATRONICS System Active is designed for people who do not want to spend the entire day watching charts and making every trading decision manually.
After activation, the system executes the selected strategy automatically.
Inside your account, you can:
• monitor the system’s activity
• review performance and reports
• manage your funds
• submit withdrawal requests
• acc…
📊 A cheaper coin is not necessarily a cheaper asset
One token trades at $0.10.
Another trades at $1,000.
Which one is more expensive?
The price of a single coin cannot answer that question.
To compare the size of crypto assets, traders usually look at market capitalization:
Market cap = token price × circulating supply
Consider two simplified examples:
Token A
• price: $0.10
• circulating supply: 100 billion…
🎉913❤912🤩877🔥349👍342
Showing the 12 most recent of 57 posts we hold for @metatronicsacademy. 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 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.
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.
Declared links
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association — we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“METATRONICS ACADEMY” (@metatronicsacademy), 14,314 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/metatronicsacademy.
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.
