22 measurements spanning 23 days, net -998. 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 50,797–52,095 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)
Subscribers
Change
30 Aug 2026, 23:52
50,947
-39
30 Aug 2026, 01:37
50,986
-32
29 Aug 2026, 05:04
51,018
-36
28 Aug 2026, 05:11
51,054
-55
27 Aug 2026, 01:34
51,109
-29
26 Aug 2026, 03:02
51,138
-54
25 Aug 2026, 01:25
51,192
-56
23 Aug 2026, 11:03
51,248
-65
21 Aug 2026, 19:03
51,313
-54
20 Aug 2026, 15:46
51,367
-40
19 Aug 2026, 16:08
51,407
-44
18 Aug 2026, 12:54
51,451
-55
17 Aug 2026, 12:36
51,506
-63
16 Aug 2026, 04:24
51,569
-62
14 Aug 2026, 16:28
51,631
-63
13 Aug 2026, 10:26
51,694
-25
12 Aug 2026, 13:19
51,719
-52
11 Aug 2026, 10:44
51,771
-39
10 Aug 2026, 12:24
51,810
-47
9 Aug 2026, 11:07
51,857
first reading
Engagement
125 posts held, back to 3 August 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 51 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
1.63%
avg views ÷ 50,947 subscribers
Avg views / post
830
125 posts measured
Reaction rate
0.717%
reactions ÷ views · ER floor
Posts in window
125
of 125 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 30 August 2026
Posts held
125 (3 August 2026 – 30 August 2026)
Views total
103,741
Reactions total
744
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Aug 2026, 03:30 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
≈2,590
Videos
≈3
Links
≈2,630
Lifetime counters from Telegram’s own channel header, read 31 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.
Reaction mix
744 reactions across 125 posts, in 7 distinct kinds. The most used accounts for 45.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
337
45.3%
❤
188
25.3%
👀
99
13.3%
🤬
59
7.93%
👍
33
4.44%
🐳
15
2.02%
🤯
13
1.75%
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 125 of the 125 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 744reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 125 most recent posts we hold, published 3 August 2026 to 30 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 125 we hold a reading for · 0.8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CryptoNobler. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 125 most recent posts we hold for this entry, published 3 August 2026 to 30 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🚨 BREAKING
🇺🇸 INSIDERS JUST STARTED AGGRESSIVELY DUMPING ALL RISK ASSETS AHEAD OF THE U.S. MARKET OPEN TOMORROW!
EVERY SINGLE INSIDER IS NONSTOP SELLING BILLIONS RIGHT NOW:
0 BUYS. 1,072 SELLS. $12.49 BILLION VOLUME.
LOOKS LIKE ANOTHER MARKET CRASH IS STARTING ON MONDAY...
https://x.com/CryptoNobler/status/2094113498615709803
🚨 BREAKING
WINTERMUTE JUST OPENED A $70,000,000.00 SHORT AHEAD OF THE U.S. MARKET OPEN TOMORROW!
THEY ARE SHORTING THE ENTIRE CRYPTO MARKET RIGHT NOW - JUST LIKE THEY DID BEFORE THE 10/10 FLASH CRASH IN 2025.
THEY DEFINITELY KNOW ANOTHER BITCOIN CRASH WILL START ON MONDAY…
https://x.com/CryptoNobler/status/2094060356041589189
🚨 WARNING: TOMORROW WILL BE THE WORST DAY OF 2026!!
99% of people will lose everything.
You MUST read this before August 31.
→ Japan is dumping $5.25 TRILLION in U.S. Treasuries
→ China is dumping $600 BILLION in U.S. Treasuries
The U.S. just confirmed the crisis is real, and DOUBLED buybacks to cover the damage.
If you own any assets today, you need to understand this:
https://x.com/CryptoNobler/status/2093992…
🚨 NEXT WEEK'S SCHEDULE IS INSANE FOR THE MARKETS
MONDAY → FED INJECTS $4.2 BILLION
TUESDAY → FED EMERGENCY ANNOUNCEMENT
WEDNESDAY → BEIGE BOOK (ECONOMIC REPORT)
THURSDAY → U.S. GDP DATA
FRIDAY → S&P 500 AND NASDAQ POSITIONS
GET READY FOR EXTREME MARKET VOLATILITY!
https://x.com/CryptoNobler/status/2093943489666965622
🚨 BREAKING
🇺🇸 FED WILL INJECT $4,243,000,000.00 INTO THE ECONOMY NEXT WEEK, RIGHT BEFORE THE U.S. MARKET OPENS!
KEVIN WARSH HAS ORDERED THE FED TO BEGIN EMERGENCY CASH INJECTIONS RIGHT AFTER ANNOUNCING THE RATE HIKES ON FRIDAY.
SOMETHING VERY BAD IS HAPPENING RIGHT NOW…
https://x.com/CryptoNobler/status/2093757824891244725
🚨 BREAKING
🇺🇸 BLACKROCK JUST STARTED LIQUIDATING ALL CRYPTO HOLDINGS AHEAD OF THE U.S. MARKET OPEN ON MONDAY.
THEY JUST DUMPED $35,000,000.00 IN $BTC AND $ETH IN 5 MINUTES AND NONSTOP SELLING EVEN MORE.
THEY DEFINITELY KNOW SOMETHING TERRIBLE IS GOING TO HAPPEN NEXT WEEK...
https://x.com/CryptoNobler/status/2093704462120484961
🚨 WARNING: SOMETHING TERRIBLE WILL HAPPEN ON MONDAY!!
The U.S. just hit the panic button.
The odds of a Fed rate hike in September have jumped to 70%.
U.S. Treasury is launching a $1 TRILLION buyback program to prevent a market crash.
99% of people will lose everything next week.
And it won't be “just another dip.”
https://x.com/CryptoNobler/status/2093663239716425778
🚨 BREAKING
SATOSHI ERA WHALE JUST DUMPED OVER $1,100,000,000.00 $BTC AFTER 15 YEARS OF HODLING.
THIS GUY SURVIVED THE MT. GOX HACK, THE COVID CRASH, AND LUNA & FTX COLLAPSES, BUT SOLD ALL HIS BITCOIN TODAY.
LOOKS LIKE HE KNOWS ANOTHER MASSIVE CRASH IS COMING SOON...
https://x.com/CryptoNobler/status/2093432406212587714
🚨 BREAKING
HERE'S THE EXACT REASON WHY BITCOIN IS DUMPING RIGHT NOW:
COINBASE SOLD 16,685 BTC
TRADE REPUBLIC SOLD 11,500 BTC
FIDELITY SOLD 11,250 BTC
BINANCE SOLD 5,963 BTC
KRAKEN SOLD 5,546 BTC
WINTERMUTE SOLD 1,420 BTC
THIS IS A HUGE COORDINATED MANIPULATION!!
https://x.com/CryptoNobler/status/2093394589864296478
🚨 BREAKING
🇺🇸 KEVIN WARSH JUST CONFIRMED RATE HIKES AT THE JACKSON HOLE CONFERENCE!
→ INFLATION IS STILL RISING
→ RATES ARE NOT HIGH ENOUGH YET
→ INFLATION MUST FALL BELOW 2% (CURRENTLY 3.7%)
→ THE ECONOMY IS "VERY WORRYING"
THIS IS EXTREMELY BAD NEWS FOR THE MARKETS...
https://x.com/CryptoNobler/status/2093343890224943475
🚨 BREAKING
🇺🇸 TRUMP INSIDER WITH 100% WIN RATE JUST OPENED A $200,000,000.00 MAREKT SHORT AHEAD OF KEVIN WARSH’S SPEECH TODAY.
HE BECAME ACTIVE FOR THE FIRST TIME SINCE THE OCTOBER CRASH, WHEN HE MADE $90 MILLION IN 4 HOURS.
HE 100% KNOWS ANOTHER MARKET CRASH IS COMING…
https://x.com/CryptoNobler/status/2093318697133686877
🚨 BREAKING
🇺🇸 FED CHAIR WILL SPEAK TODAY AT 10:00 AM ET AT THE JACKSON HOLE CONFERENCE, RIGHT AFTER THE U.S. MARKET OPENS!
IF HAWKISH TONE → 25 BPS RATE HIKE IN SEPTEMBER
IF NEUTRAL TONE → NO RATE CHANGE
IF DOVISH TONE → 25 BPS RATE CUT
ALL EYES ON KEVIN WARSH TODAY!!
https://x.com/CryptoNobler/status/2093285409123881221
👀4🔥2
Showing the 12 most recent of 125 posts we hold for @CryptoNobler. 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 — 1,464,662 of 1,628,524entries 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.
Mentions
Named by 2 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 25 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
ChainMind⛓🧠 @ChainMindAlpha · 39,767 Telegram ranks this channel #7 of 75 here — alongside 74 others — read 30 August 2026
Wimar.X @WimarX · 42,541 Telegram ranks this channel #7 of 86 here — alongside 85 others — read 29 August 2026
Rekt Fencer @rektfencer_threads · 78,624 Telegram ranks this channel #7 of 86 here — alongside 85 others — read 19 August 2026
DATADIKDASMEN.COM @datadikdasmen · 61,595 Telegram ranks this channel #37 of 60 here — alongside 59 others — read 27 August 2026
Danny Crypton @danny_crypton · 42,098 Telegram ranks this channel #44 of 90 here — alongside 89 others — read 29 August 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 30 August 2026 — this
entry's latest reading, not the date you are reading this.
“0xNobler” (@CryptoNobler), 50,947 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/CryptoNobler.
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.