Other / unclassifiable — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 42% 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 the other topics.
Growth
62 measurements spanning 94 days, net -572,651. 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 2,722,363–3,466,810 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
7 Nov 2026, 22:20
2,808,261
-6,565
6 Nov 2026, 22:47
2,814,826
-5,426
5 Nov 2026, 20:44
2,820,252
-5,731
4 Nov 2026, 19:27
2,825,983
-5,552
3 Nov 2026, 19:14
2,831,535
-5,401
2 Nov 2026, 19:59
2,836,936
-4,365
1 Nov 2026, 22:19
2,841,301
-6,529
31 Oct 2026, 21:05
2,847,830
-6,643
30 Oct 2026, 19:41
2,854,473
-7,421
29 Oct 2026, 16:26
2,861,894
-7,196
28 Oct 2026, 12:45
2,869,090
-6,225
27 Oct 2026, 09:06
2,875,315
-6,643
26 Oct 2026, 10:40
2,881,958
-2,320
25 Oct 2026, 14:06
2,884,278
-3,318
24 Oct 2026, 13:56
2,887,596
-6,390
23 Oct 2026, 14:25
2,893,986
-6,656
22 Oct 2026, 10:56
2,900,642
-9,739
21 Oct 2026, 00:41
2,910,381
-7,117
19 Oct 2026, 20:17
2,917,498
-5,075
18 Oct 2026, 22:06
2,922,573
first reading
Engagement
290 posts held, back to 10 April 2022 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 4,173 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.597%
avg views ÷ 2,808,261 subscribers
Avg views / post
16,800
11 posts measured
Reaction rate
0.422%
reactions ÷ views · ER floor
Posts in window
11
of 290 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 6 November 2026
Posts held
290 (10 April 2022 – 6 November 2026)
Views total
184,560
Reactions total
779
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 17:15 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
90
Videos
54
Links
115
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
8m 08s
Average length
1m 01s
Measured directly from 8 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 11 of this channel’s own posts over the last 30 days: across 11 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 2 days of being posted; a typical post has already reached 28.5% of its 24-hour view count within the first hour, and 62.6% within the first six; the median 24-hour reach across those posts is 4,520 views — 0.161% of this channel’s own subscriber count (90th percentile 5,680).
8 most recently posted, with a view-velocity reading
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
3,907 reactions across 48 posts, in 6 distinct kinds. The most used accounts for 56.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,211
56.6%
👍
706
18.1%
🐳
401
10.3%
🔥
340
8.70%
❤🔥
162
4.15%
😍
87
2.23%
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 289 of the 290 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 1,728,178 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 290 most recent posts we hold, published 10 April 2022 to 6 November 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
28
across the posts below
Posts paid on
19
of 289 we hold a reading for · 7%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @iamalexfalcon. 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 290 most recent posts we hold for this entry, published 10 April 2022 to 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 11 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
It looks like AI has become such a major economic force that people are now voting against its infrastructure.
In the recent U.S. elections, candidates who pledged to restrict the construction of new data centers secured key positions in several states. Texas is particularly interesting, as it accounts for roughly a quarter of all planned new data center capacity in the United States. The state's incoming governor h…
Alphabet was the first to plunge, losing about 13% and nearly $500 billion in market value following its earnings report, before continuing to slide the next day. Then Intel crashed by roughly 29%, even though its Data Center and AI division grew by 78%.
Taken together, these two stories look much more interesting than just two bad days for tech companies.
At Google, AI is growing at a breakneck pace, but the compa…
While the rest of the world is talking about the Binance hack, something is happening in the U.S. stock market that could turn out to be far more important for investors.
Alphabet lost around 13% in a single trading session, wiping out nearly $500 billion in market value and leaving the stock roughly 30% below its 52-week high. Yet, at first glance, the earnings report itself looked very strong. Google Cloud more th…
Gold is widely considered the ultimate safe-haven asset. But something interesting is happening right now. Despite high oil prices, geopolitical tensions, and a falling stock market, gold itself has dropped to a three-month low, losing around 4% in a single week.
The reason is pretty simple. High oil prices are fueling inflation again. The higher inflation goes, the more likely the Fed is to keep interest rates elev…
Markets are facing a pretty ugly combination right now.
Brent crude is already nearing $113. Tensions around Iran are rising again, and the market is starting to price in the risk of another escalation. Meanwhile, the Nasdaq continues to slide, investors are getting increasingly nervous about the cost of the AI boom, and Bitcoin is heading lower again alongside other risk assets.
And here’s one simple thing that’s …
AI could turn out to be both the greatest technological revolution of the past few decades and one of the biggest investment bubbles in history.
Yesterday, Anthropic reported a net loss of $80.7 billion in just the first half of the year. To be fair, there’s no need to panic over the headline number itself. Around $72 billion of that loss came from an accounting revaluation of the company’s liabilities, not from Ant…
Some very troubling U.S. inflation data was released recently. PPI rose 6.3% year over year, versus expectations of 5.5%, and jumped 1.3% month over month, compared with forecasts of 0.6%. That’s the biggest monthly increase in producer prices since March 2022.
PPI shows how prices are changing for businesses themselves. When production, energy, transportation, and other costs go up, some of those increases are usua…
AI could crack Bitcoin in just a few months
That’s the claim making the rounds right now following a statement by an Ethereum Foundation researcher. It sounds scary, but there’s still a huge gap between this kind of threat and an actual hack.
For that to happen, AI would need to learn how to derive a private key from publicly available wallet information and gain access to someone else’s coins. No one has demonstra…
Following up on the previous post about US Treasuries.
It’s quite symbolic that The Economist recently featured a cover asking “Will Bonds Blow Up?” and warning of an impending sovereign debt crisis.
There are growing concerns that it’s becoming increasingly expensive for the US to borrow money. Investors are demanding higher and higher yields amid massive debt, budget deficits, and inflation risks. But there’s an …
Something happened in the U.S. Treasury market that’s hard to ignore.
The quarter closed with 20-year Treasury yields at 5.68% and 30-year yields at 5.64%. These are levels the market hasn’t seen in more than 20 years. And this is no longer just a random spike lasting a couple of days, but a very noticeable shift in the cost of long-term borrowing.
Why are yields rising? Investors want an increasingly larger premiu…
❤43👍15🐳5🔥5😍2❤🔥1
Showing the 12 most recent of 290 posts we hold for @iamalexfalcon. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 3 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
2
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
2
vacant every time we have ever looked
@iamalexfalcon named 2 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.
@empirex named in 3 posts, 8 August 2026 – 8 August 2026
@muskempire_bot named in 1 post, 8 August 2026 – 8 August 2026
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.
Blum: All Crypto – One App @blumcrypto · 12,859,271#1
Read from Telegram’s recommendation API, most recently 7 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.
PX Lovers @PXTicker · 24,752 Telegram ranks this channel #1 of 70 here — alongside 69 others — read 13 September 2026
The First @be_the_firsttt · 1,190,005 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 8 August 2026
Hrum Family 🥠 @hrumfam · 2,849,757 Telegram ranks this channel #2 of 83 here — alongside 82 others — read 7 August 2026
Findo Game 🚀 @findogame · 181,570 Telegram ranks this channel #3 of 52 here — alongside 51 others — read 30 August 2026
Dune Part Three @Dune_Part_Three_Dune3 · 76,032 Telegram ranks this channel #5 of 80 here — alongside 79 others — read 18 August 2026
ODES → Breaking News @odes_news · 82,308 Telegram ranks this channel #5 of 88 here — alongside 87 others — read 17 August 2026
Trade Notcoin @not_a_trade · 212,035 Telegram ranks this channel #5 of 82 here — alongside 81 others — read 11 August 2026
Crypto Penetration blog 🔩 @cryptopenetration · 33,445 Telegram ranks this channel #6 of 65 here — alongside 64 others — read 18 September 2026
Pixelverse.xyz News Channel @pixelverse_xyz · 2,900,630 Telegram ranks this channel #6 of 82 here — alongside 81 others — read 7 August 2026
Respawn @respawn_media · 612,262 Telegram ranks this channel #7 of 84 here — alongside 83 others — read 8 August 2026
BRN Metaverse Announcements @BrnTokenAnnouncementss · 27,153 Telegram ranks this channel #8 of 75 here — alongside 74 others — read 8 September 2026
Tech Dishoom (Airdrop Hunter) @techdishoomofficial · 29,244 Telegram ranks this channel #8 of 71 here — alongside 70 others — read 5 September 2026
Serge Hexn @SergeHexn · 472,536 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 19 August 2026
Pachev Artem | Личный блог @pachev · 104,285 Telegram ranks this channel #8 of 91 here — alongside 90 others — read 18 August 2026
iPapkorn @iPapkorn · 1,821,649 Telegram ranks this channel #8 of 64 here — alongside 63 others — read 7 August 2026
Gsmgarden @gsmgarden · 22,858 Telegram ranks this channel #9 of 82 here — alongside 81 others — read 17 September 2026
Хантавирус Новости | Hantavirus Пандемия @hantavirus_2 · 22,794 Telegram ranks this channel #9 of 72 here — alongside 71 others — read 17 September 2026
Newcoin Announcements @newcoin_announce · 29,524 Telegram ranks this channel #9 of 75 here — alongside 74 others — read 6 September 2026
XENNA @xenna_game_english · 33,262 Telegram ranks this channel #9 of 73 here — alongside 72 others — read 2 September 2026
Hipo @hipofinance · 695,218 Telegram ranks this channel #9 of 85 here — alongside 84 others — read 11 August 2026
CrossFi News @crossfichain · 115,769 Telegram ranks this channel #10 of 89 here — alongside 88 others — read 17 August 2026
Kong's Jungle Room @KongsJungleRoom · 99,142 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 14 August 2026
W3BFLIX Official @w3bflix · 632,684 Telegram ranks this channel #10 of 87 here — alongside 86 others — read 8 August 2026
Plank Pushers @Plank_Pushers · 88,953 Telegram ranks this channel #11 of 86 here — alongside 85 others — read 16 August 2026
This channel appears in 1,163 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
5 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Alex Falcon” (@iamalexfalcon), 2,808,261 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/iamalexfalcon.
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.
