Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 23 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
Growth
9 measurements spanning 60 days, net -10. 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 281–294 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Oct 2026, 06:20
282
-1
25 Sept 2026, 23:39
283
-2
14 Sept 2026, 00:22
285
-2
6 Sept 2026, 05:41
287
-1
29 Aug 2026, 06:03
288
-1
22 Aug 2026, 14:49
289
-1
15 Aug 2026, 16:57
290
-2
8 Aug 2026, 08:16
292
no change
7 Aug 2026, 16:01
292
first reading
Engagement
20 posts held, back to 31 December 2024 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 28 December 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
18 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 38.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
7
38.9%
❤
6
33.3%
👍
4
22.2%
🤣
1
5.56%
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 8 of the 20 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 18 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 31 December 2024 to 28 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
prints six figures just counting Elon’s tweets on Polymarket
over $340K profit in 2025 from one niche: “Elon number post this week?”
no complex models, no API wizardry: just basic arithmetic and discipline
if you passed elementary school math, you could copy this play:
https://x.com/defi_karen/status/2005306125739057278
Still just holding stablecoins in your wallet? FATAL MISTAKE!
You could be earning passive income by putting them to work in DeFi protocols.
Here’s a list of the top dApps offering the highest APR on stablecoins 🧵👇
https://x.com/defi_karen/status/1925180998867644627
4 Best Testnets with Confirmed Airdrops! 🪂
$0 cost + 10 minutes of your time + my guide = potential $30K
Let’s dive in 🧵👇
https://x.com/defi_karen/status/1924833638086054295
Im back!
10 FREE AIRDROP LIST + GUIDES
0 costs, confirmed Airdrop everywhere.
Don't miss out on a potential $100K from this list 👇 🧵
https://x.com/defi_karen/status/1923822700159435226
COINBASE BLOCKED ME FOR LEAKING THEIR WALLETS
These mfs buy tokens > list them on Coinbase > sell for 20x profit.
Here’s how I found them + a LIST of wallets 🧵👇
https://x.com/defi_karen/status/1896262546153521627
Today, I aped 4 meme coins with a market cap under $150K.
All 4 did 200x+!
How did I find them? The answer: THE RIGHT filters.
Here’s the list of filters + PROOFS 🧵👇
https://x.com/defi_karen/status/1895112571960860973
I caught $TRUMP at $0.7 and sold at $68.
I caught $CAR at $0.018 and sold at $0.88.
This is called sniping.
Here’s how you can change your life with the $YZY token from Kanye West using sniping 🧵👇
https://x.com/defi_karen/status/1894133748054016238
+ $3K Giveaway
To participate:
• Drop an RT + like + bookmark + comment under the first post.
• Keep your DMs open so I can contact you if you win!
CHATGPT MADE ME $140K IN 7 DAYS
I created a new trading bot using ChatGPT with a 100% win rate.
It bought $LIBRA at $700M (4B ATH)
Full video guide + FULL SCRIPT 🧵👇
https://x.com/defi_karen/status/1890859040088932443
Promts:
1/ Create a Python script on behalf of a programmer with 10 years of experience that will take information about tokens and sort them by popularity. Get the information from here.
2/ Now we…
I called you $CAR at $1.2M
I called you #FARTCOIN at $18M
I called you $TRUMP at $11M
Now, my win rate is 100%.
Wanna know how?
Just the RIGHT wallets and FILTERS — I’m sharing them with you 🧵👇
https://x.com/defi_karen/status/1890012692230119912
Filters on screen
This wallet - hidden gem! 👇
https://x.com/defi_karen/status/1889673544914678133
Showing the 12 most recent of 20 posts we hold for @karen_alpha. 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.
Handles this channel named that no longer answer
Dead references
1
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
1
vacant every time we have ever looked
@karen_alpha named 1 handle 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.
@tweetscout_io named in 1 post, 9 August 2026 – 9 August 2026
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 6 October 2026 — this
entry's latest reading, not the date you are reading this.
“Karen Alpha 🥷” (@karen_alpha), 282 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/karen_alpha.
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.