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Channel
DEXTER WOISE
@dexterwoise
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
22,571subscribers
+19,544 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002798191180 |
|---|---|
| Type | Channel |
| Username | @dexterwoise |
| Description | @dexter_woise_bot Support - https://t.me/DEXTERWOISE_support Precision-built signals. Profit-focused logic. Automated alerts powered by data, not emotion. Trade smarter - earn consistently. HIGH PROFIT. LOW RISK. NO EMOTIONS. |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 September 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 24 September 2026 |
| On Telegram | t.me/dexterwoise |
Topic
International news — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 44% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Sept 2026, 22:40 | 22,571 | -117 |
| 17 Sept 2026, 02:59 | 22,688 | -13 |
| 15 Sept 2026, 05:00 | 22,701 | +5,974 |
| 13 Sept 2026, 16:57 | 16,727 | -6 |
| 11 Sept 2026, 21:56 | 16,733 | -141 |
| 9 Sept 2026, 14:56 | 16,874 | -152 |
| 6 Sept 2026, 09:19 | 17,026 | -56 |
| 3 Sept 2026, 23:38 | 17,082 | -43 |
| 2 Sept 2026, 11:38 | 17,125 | -28 |
| 1 Sept 2026, 11:17 | 17,153 | -34 |
| 31 Aug 2026, 10:44 | 17,187 | -31 |
| 30 Aug 2026, 11:13 | 17,218 | -5 |
| 29 Aug 2026, 14:26 | 17,223 | +14,251 |
| 26 Aug 2026, 08:12 | 2,972 | -9 |
| 23 Aug 2026, 07:33 | 2,981 | -9 |
| 19 Aug 2026, 12:56 | 2,990 | -8 |
| 16 Aug 2026, 18:48 | 2,998 | -12 |
| 13 Aug 2026, 05:08 | 3,010 | -13 |
| 10 Aug 2026, 07:46 | 3,023 | -4 |
| 7 Aug 2026, 15:25 | 3,027 | first reading |
Engagement
71 posts held, back to 29 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 19 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 36.8%
- avg views ÷ 22,571 subscribers
- Avg views / post
- 8,310
- 31 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 31
- of 71 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.
| Window | Rolling 30 days · latest post in window 15 September 2026 |
|---|---|
| Posts held | 71 (29 July 2026 – 15 September 2026) |
| Views total | 257,615 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 13:09 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
- ≈1,380
- Videos
- ≈148
- Links
- ≈186
Lifetime counters from Telegram’s own channel header, read 30 September 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.
- Video runtime
- 46s
- Average length
- 23s
Measured directly from 2 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.
Recent posts
🙁 The biggest loser among LAPTOP holders 🧑💻 Trader “0xb02b” invested around $249,000 in Hunter Biden’s shitcoin, which is now worth just $15,000 (-94%). He bought the token almost immediately after launch at $217.5 → after the drop, he decided to average down at $2 → the decline continued → the poor guy was liquidated at $0.6. 📊 At the moment, this is one of the biggest losses recorded among LAPTOP traders.
🤣 Revolut shared customers’ data with scammers based on a fake “government agency request.” The email came from the real agency’s domain, so the bank considered it legitimate. 📉 The data breach includes passport details, addresses, verification selfies, IBANs, and complete transaction histories, including Bitcoin transactions.
🇺🇸 The U.S. Department of Justice has thanked Tether for freezing $52,000,000 worth of crypto assets linked to a global fraud network.
🤝 CZ said that the iPhone Duo is great for working with charts.
💛 Coinbase CEO Brian Armstrong says that Bitcoin could actually reach $400,000 by 2030.
📱 In 2018, an iPhone cost 0.169 BTC, while in 2026, it costs just 0.016 BTC. The same phone, for 10x less Bitcoin. Guess which one preserved its value.
🧐 Five years ago, Nike announced its goals: by 2025, increase the share of “racial and ethnic minorities” in its corporate workforce to 35%, and to 30% among its directors. Executive compensation was tied to gender and racial diversity (DEI) metrics. 🤔 I don’t know what to say…
🇺🇸 The U.S. Federal Reserve is expected to raise interest rates by 25 basis points next week.
🇩🇪 Starting in 2027, Germany plans to impose a 25% tax on profits from cryptocurrency transactions, abolishing the current rule under which profits from selling crypto assets held for more than one year can be tax-free.
🪙 🌎 CZ recommends that governments add not only Bitcoin but also Ethereum to their national crypto reserves.
⏳ Hunter Biden’s LAPTOP meme token was wiped out within an hour. 💥 In the first few minutes, the price surged to $315, but then crashed to $2. ☠️ LAPTOP launched with a promise to allocate 20% of the supply to victims of the TRUMP token scam. Looks like today isn’t their day.
Showing the 12 most recent of 71 posts we hold for @dexterwoise. 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 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.
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 24 September 2026 — this entry's latest reading, not the date you are reading this.
“DEXTER WOISE” (@dexterwoise), 22,571 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/dexterwoise.
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.