Crypto & trading — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far below this size band
13.7 average views per post against 12,665 subscribers — an engagement rate of 0.108%. Across the 665 registered channels in the same cohort — 10,024–31,445 subscribers, posting mainly in Spanish — the middle half sit between 5.19% and 18.6%, with a median of 11.1%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
33 of 33 published in the window (33 exact, 0 rounded by Telegram)
Views totalled
453
Mature posts only
0.134% over 23 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
4 measurements spanning 3 days, net -41. 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 12,659–12,712 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 21:03
12,665
-16
11 Aug 2026, 20:44
12,681
-17
10 Aug 2026, 23:14
12,698
-8
10 Aug 2026, 07:46
12,706
first reading
Engagement
33 posts held, back to 8 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 4 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
0.108%
avg views ÷ 12,665 subscribers
Avg views / post
13.7
33 posts measured
Reaction rate
6.25%
reactions ÷ views · ER floor
Posts in window
33
of 33 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. It is computed over the 1 of 33 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
33 (8 August 2026 – 12 August 2026)
Views total
453
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 12:16 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
1 reaction across 1 post, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1
100.0%
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 1 of the 33 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 8 August 2026 to 12 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.
🗣 El desarrollador Turtlecute opinó que destituir a Luke Dashjr como editor de BIP es correcto, aunque llegó 10 años tarde. Considera que Dashjr usó sus privilegios para imponer propuestas en Bitcoin sin consenso alguno.
Radar Cripto Pro
⚡️ Dos proyectos previstos para 2026 exploran usos prácticos del mining de Bitcoin en Irlanda y Ucrania. En Irlanda, podría aprovecharse hasta el 83 % de la energía eólica desperdiciada; en Ucrania, colocar mineros cerca de centrales nucleares aisladas ayudaría a financiar la reconstrucción tras la guerra. 🌍💡
Radar Cripto Pro
🧊 ¿Tu BTC está expuesto a una futura computadora cuántica? BitGo lanzó una herramienta pública para analizarlo al instante, mientras Bitcoin sigue discutiendo cómo reforzar sus firmas ante esta amenaza.
Radar Cripto Pro
El ecosistema de Bitcoin está saldando años de deuda en auditorías
Un desarrollador decidió investigar de dónde provenía el azar en las wallets de Coldcard. Quería confirmar con certeza qué componente generaba la aleatoriedad de las claves privadas que el dispositivo entregaba a sus usuarios. Siguió el rastro hasta una biblioteca poco conocida, mantenida por alguien que usaba seudónimo y que, en la plataforma donde …
🚨 Un ataque cibernético logró sustraer casi 200.000 XRP del puente de la red Coreum. Tras el robo, el atacante trasladó los fondos a Ethereum y borró su rastro usando Tornado Cash.
Radar Cripto Pro
📉 XRP baja a 1 dólar. La incertidumbre reina entre los inversores, divididos entre vender con pérdidas o mantener sus posiciones. Mientras Ripple apuesta fuerte por la tokenización, buena parte de la comunidad sigue esperando que llegue la adopción bancaria.
Radar Cripto Pro
⛏️ La comunidad detrás de la bifurcación BIP-110 de Bitcoin quiere cambiar su algoritmo de minería para reactivar la red, actualmente inactiva. Luke Dashjr propuso seleccionar el nuevo método de forma aleatoria, pero la iniciativa sufrió presuntos ataques y fuertes críticas.
Radar Cripto Pro
😮El cierre de LNP2Pbot significa perder una opción p2p para mover bitcoin sin KYC ni custodia, utilizada por miles. Esto impacta el acceso a intercambios privados y descentralizados.
Radar Cripto Pro
⚡️A diferencia de antes, hoy Bitcoin no se inmuta. Pese a exploits en wallets y fallos técnicos, su precio se mantiene estable en los 64.000 USD. El mercado ha madurado: entiende que el problema radica en empresas privadas, no en la red central.
Radar Cripto Pro
🔎 Bitcoin Cash demuestra que sobrevivir a un fork no se trata solo de modificar reglas: hace falta un incentivo económico fuerte para retener a los mineros mientras la nueva cadena sigue siendo vulnerable.
Radar Cripto Pro
₿ Michael Saylor quiere convertir STRC en el “iPhone de los activos digitales”
📱 Michael Saylor declaró que Strategy tiene como objetivo posicionar a STRC como el “iPhone de los activos digitales”, presentándolo como un producto estrella para inversores interesados en obtener exposición a la empresa centrada en Bitcoin.
🚀 Esta analogía ilustra la ambición de Strategy por transformar STRC en un producto financiero i…
📉 Grayscale da marcha atrás con sus ETFs de Cardano, Polkadot y Hedera
🏛️ Grayscale ha retirado ante la SEC las solicitudes para sus fondos cotizados vinculados a Cardano, Polkadot y Hedera, poniendo fin oficial al desarrollo de estos tres ETFs.
⚠️ La compañía confirmó que no seguirá adelante con las ofertas, eliminando así estas tres criptomonedas de su cartera proyectada de productos en EE. UU.
💎 MyTonWallet
🐂
…
Showing the 12 most recent of 33 posts we hold for @Ortho_tewah. 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 — 264,266 of 1,151,006entries 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Radar Cripto Pro” (@Ortho_tewah), 12,665 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Ortho_tewah.
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.