3 measurements taken within a single day, net +1. 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 421–422 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 11:06
422
+1
8 Aug 2026, 05:31
421
no change
7 Aug 2026, 19:39
421
first reading
Engagement
18 posts held, back to 25 June 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
101.9%
avg views ÷ 422 subscribers
Avg views / post
430
1 post measured
Reaction rate
4.19%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 17 July 2026
Posts held
18 (25 June 2026 – 17 July 2026)
Views total
430
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 05:31 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.
Reaction mix
115 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 40.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
46
40.0%
❤🔥
25
21.7%
👍
17
14.8%
👀
14
12.2%
👏
5
4.35%
🔥
3
2.61%
😡
3
2.61%
🥰
2
1.74%
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 16 of the 18 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 115reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 25 June 2026 to 17 July 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.
🚨Official MJ channels and chat
💬 MJ: https://t.me/MJJ347Q
💬 MJ’s Vibe Tribe: https://t.me/mjj347chat
💬 MJ’s Training Room: https://t.me/mjtrainingroom
💬 MJ’s Training Room Chat: https://t.me/mjtrainingroomchat
💬 MJ Vibe Tribe Espanõl: https://t.me/mjj347chatespanol
✔️ Please check the chats and channels you are in to make sure you’re in the correct legitimate groups.
📚 How to Use MJ’s Training Room
Welcome to MJ’s Training Room Chat! This space was created to help everyone learn, stay organized, and find answers quickly.
🔗 Official Training Room Link:
https://t.me/mjtrainingroomchat
📌 What You’ll Find Here
We have dedicated Topics for the most frequently asked questions and important information.
🏆 ICO Topics (Read-Only)
All ICOs are listed individually in their own topics.…
Here is another fake post on fake training room from “FAKE JJ”. Please check @username before communicating! This is never a message we would put out. We aren’t trading anything!
I was just looking at MJ’s training room and I see all these people talking about money they’re being made and put into their wallet.
I don’t understand that is that something different than what we’re doing with XLM projects and our Lobsrt wallet?
This is a dm from a member that was added to fake training room scamming people of their wallets pretending to be us admin!
These are the legitimate training room chat…
HOW TO LOSE YOUR MONEY
1. TRUST FAKE ADMINS ON TELEGRAM
Scammers often pretend to be admins and contact you privately offering help. They may ask you to register on suspicious websites or follow private instructions. Real admins never DM first.
2. LOBSTR LIQUIDITY BUTTON
This most like comes in a dm. There is not a Lobstr liquidity button.
3. REGISTER AND DEPOSIT MONEY ON “QUANTUM LEDGER”
Quantum Ledger is a s…
Sharing this again. We just had a member get a dm from fake training room
Hello xxxxx,have you submitted your training modules,proofs and intermediate courses for confirmation,there’s no record of yours in the MJ’s Vibe system database.
This is fake. One you know legit admin don’t dm you first! Two we would never send this crap. There is no MJ’s Vive system database.
Please only dm me your public wallet if you bought the mjnw packages which is 2500 or more xlm. There is a different between the token and the packages.
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✔️ Both delivered insid…
🔠🔠 🔠🔠🔠 🔠🔠🔠🔠🔠
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This is the moment wonderful people.
The pre-sale orders are locked in. The early movers are positioned. And now the doors are open for everyone. What I've been building for seventeen years is live on Stellar right now as you read this. 😊
For those of you who've been following the tiers... the breakdowns... the seven sectors... the investment packages... you already know what this is. You do…
Wonderful people... you still have 24 hours left to qualify for the 100% instant bonus in WMJNW. 🤍
Note: Both WMJNW and MJNW count towards your tier
Every person who buys MJNW before the window closes gets their entire purchase doubled in WMJNW. But the bonus can only land in your wallet if the trustline is already there.
Add it now so you're ready when it drops. 😊
🟢 ADD WMJNW TRUSTLINE
Or search mjnw.org in LOBS…
❤4
Showing the 12 most recent of 18 posts we hold for @mjtrainingroom. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Mentions
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“MJ’s Training Room” (@mjtrainingroom), 422 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/mjtrainingroom.
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.