Channel
@RamonQuesadaNews
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
117subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001115069175 |
|---|---|
| Type | Channel |
| Username | @RamonQuesadaNews |
| Created | Between 1 February 2017 and 31 March 2019— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/RamonQuesadaNews |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 11:59 | 117 | +1 |
| 9 Aug 2026, 05:16 | 116 | no change |
| 6 Aug 2026, 02:29 | 116 | first reading |
20 posts held, back to 5 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 1 pageof Telegram’s post history, 20 posts per page.
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 9 August 2026 |
|---|---|
| Posts held | 20 (5 August 2026 – 9 August 2026) |
| Views total | 117 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 05:16 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.
Measured directly from 6 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.
Fin. Inflación estructural 16 fuentes 8 ago 2026 (Audio 20 min) Estos textos ofrecen una biografía intelectual y académica de Julio H. G. Olivera, destacándolo como una figura central en el desarrollo del pensamiento económico estructuralista en Argentina y América Latina. Las fuentes detallan sus contribuciones teóricas fundamentales, tales como la teoría no monetaria de la inflación, el concepto de dinero pasivo y…
Signed @RamonQuesada †🌷🙏
Video, posted without a caption
Signed @RamonQuesada †🌷🙏
Thanks to the speeches of @SirToshiTV . I have understood the differences between "Security", "Commodity", "Currency" and "Money". Bitcoin needs this kind of teacher to show the way to the truth. News: "Bitcoin Restored" 18 ago 2025 https://youtu.be/1s9JIyvzwPE?is=DPGdkxr4RYO4d8za
Signed @RamonQuesada †🌷🙏
Video, posted without a caption
Signed @RamonQuesada †🌷🙏
BSV: The Real Bitcoin and the Biggest Heist in History? 8 ago 2026 https://youtu.be/LVHTSoc3t0M?si=aP7zfH-Lv0A6IsEi 0:00 The Future of Human Sovereignty 2:45 The Growing Interest in BSV 4:12 Ideology vs. Reality in Crypto 8:05 The Biggest Conspiracy in Finance 11:35 Money vs. Currency: The Fundamental Difference 17:57 The Anatomy of a Digital Commodity 29:36 The Insurance Policy Against Corruption 38:54 The Imminen…
Signed @RamonQuesada †🌷🙏
La votación de la CLARITY Act se ha pospuesto hasta septiembre después de que los demócratas del Senado no dieran el consentimiento necesario para presentarla antes del receso de agosto. El líder de la mayoría, John Thune, confirmó que el marco regulatorio para activos digitales tendrá que esperar hasta que los legisladores regresen. https://es.beincrypto.com/boletas-de-votacion-clarity-act-receso-septiembre/
Signed @RamonQuesada †🌷🙏
Video, posted without a caption
Signed @RamonQuesada †🌷🙏
John Ioannidis John P. A. Ioannidis es un médico, epidemiólogo y científico greco-estadounidense, profesor de Medicina, Epidemiología y Salud Poblacional en Stanford University. Es una de las figuras más importantes del mundo en el estudio de cómo se hace ciencia y hasta qué punto podemos confiar en los resultados científicos. ¿Por qué es tan conocido? Su especialidad se denomina meta-investigación (meta-research)…
Signed @RamonQuesada †🌷🙏
x402_y_BSV__PR_#2890.mp4
Signed @RamonQuesada †🌷🙏
Integración del esquema exacto de BSV en x402 1 fuente 7 ago 2026 Esta propuesta de cambio en GitHub detalla la integración de la red Bitcoin SV (BSV) al protocolo de pagos x402. La actualización introduce un nuevo paquete de TypeScript que permite realizar transacciones exactas mediante el uso de esquemas de derivación de claves para proteger la privacidad del receptor. El autor del código implementó mecanismos esp…
Signed @RamonQuesada †🌷🙏
Open USD, la stablecoin institucional respaldada por Visa, Mastercard, Stripe y BlackRock, desembarcará en Ethereum desde el primer día de su lanzamiento. Así lo confirmó el consorcio Open Standard, la entidad creada por más de 140 empresas para gobernar el proyecto. La decisión posiciona a esa red como la principal infraestructura para la próxima generación de stablecoins orientadas a instituciones financieras. ht…
Signed @RamonQuesada †🌷🙏
https://es.tradingview.com/news/cointelegraph:545cdbdc209cd:0/
Signed @RamonQuesada †🌷🙏
Showing the 12 most recent of 20 posts we hold for @RamonQuesadaNews. 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 — 252,043 of 1,481,217entries 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.
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.
Named by 6 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Ramon Quesada - News 🌷” (@RamonQuesadaNews), 117 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/RamonQuesadaNews.
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.