La macchina di Majorana: una storia con troppe prove Nel 1938, il geniale fisico Ettore Majorana scompare misteriosamente. Vent'anni dopo, l'imprenditore bresciano Rolando Pelizza sostiene di averlo conosciuto in un monastero. Qui, Majorana avrebbe progettato una Macchina rivoluzionaria in grado di produrre energia infinita, trasmutare un elemento in un altro e ringiovanire un essere vivente. A sostegno della sua ri…

Channel
CICAP in Piemonte
@CICAP_Piemonte
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
140subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001843052266 |
|---|---|
| Type | Channel |
| Username | @CICAP_Piemonte |
| Description | Rimani aggiornato sugli eventi del CICAP in Piemonte! Per informazione contatta piemonte@cicap.org |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/CICAP_Piemonte |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 22:30 | 140 | no change |
| 7 Aug 2026, 20:36 | 140 | first reading |
Engagement
20 posts held, back to 11 March 2025 — 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 · 30 days
- 67.1%
- avg views ÷ 140 subscribers
- Avg views / post
- 94.0
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 20 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 16 July 2026 |
|---|---|
| Posts held | 20 (11 March 2025 – 16 July 2026) |
| Views total | 94 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 22:30 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
- 52
- Links
- 24
Lifetime counters from Telegram’s own channel header, read 8 August 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.
Reaction mix
4 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3 | 75.0% | |
| ❤ | 1 | 25.0% |
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 4 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 4reactions 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 11 March 2025 to 16 July 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.
Recent posts
HPV: smontiamo i miti, costruiamo la prevenzione In collaborazione con la Fondazione Umberto Veronesi L'HPV è un virus molto diffuso: oltre l'80% delle persone sessualmente attive ne viene in contatto almeno una volta. In Piemonte, come nel resto d'Italia, è causa di tumori della cervice uterina e di altre parti del corpo, in gran parte prevenibili. La Regione Piemonte offre la vaccinazione gratuita a partire dagli…
Congratulazioni a Beatrice Mautino: il suo ultimo volume "Vertigine" è nella cinquina dei finalisti sezione saggistica del premio Strega! Quale giorno migliore di questo per partecipare alla presentazione del suo libro a Torino, presso il Mausoleo della Bela Rosin!
👍2
Al Mausoleo con Beatrice Mautino! Beatrice Mautino presenta il suo ultimo libro accompagnandoci in un viaggio tra le pieghe del complesso rapporto tra medicina, speranza e cura. Partendo dalla propria storia, intreccia racconti di casi reali per mostrare le sfide e i dilemmi che emergono nella pratica clinica. Un viaggio tra sfide e contraddizioni della medicina contemporanea: tra speranze, illusioni e ricerca rigo…
Breve reminder: ci vediamo domani sera al Mausoleo della Bela Rosin! 🌟
Nuova presentazione in arrivo a Torino! Scopri il nuovo volume della collana Think Deep del CICAP Un libro che affronta l’astrologia da più prospettive: analizza una pratica ancora oggi diffusissima, mettendo in luce i limiti delle sue previsioni attraverso dati e test statistici. Non solo: esplora anche i meccanismi psicologici — come i bias cognitivi e il cold reading — che la rendono così convincente, e il ruolo …
Il CICAP al Salone del Libro Esistono davvero legami tra la posizione dei pianeti e la nostra personalità o le nostre scelte d’amore? E perché tante persone sono convinte che i segni vicino al loro citofono siano messaggi in codice con cui i ladri comunicano tra loro o che dietro ogni angolo di Torino si nasconda qualche mistero magico? Il CICAP presenta un doppio viaggio nel (presunto) mistero e nel folklore, per m…
Novità in casa Think Deep Perché certe storie ci affascinano così tanto? Perché continuiamo a credere a ciò che “suona vero”, anche quando le prove dicono altro? La collana Think Deep del CICAP torna con due nuovi volumi che affrontano proprio questo: ✨ “Non è scritto nelle stelle” a cura di Armando De Vincentiis Un’indagine multidisciplinare che mostra perché l’astrologia continua a sedurre, come funzionano i mecca…
Stregati dalla Luna: verso la Luna e oltre - da Apollo ad Artemis 🚀🌙 Dalla Luna di ieri alla Luna di domani Come si torna sul nostro satellite naturale? Quali sfide deve affrontare il programma Artemis? E cosa ci raccontano le prime missioni Apollo, tra aneddoti, curiosità e falsi miti da sfatare? 🎙 Con Andrea Ferrero, ingegnere aerospaziale e vicepresidente CICAP 🎭 I due attori, Dott. Gyöngyi Korosi e Alessandro …
Stregati dalla Luna: verso la Luna e oltre - tra esplorazione e immaginazione 🌙✨ Un viaggio tra passato e futuro con la Luna come protagonista Dalle leggendarie missioni Apollo fino ai nuovi programmi che ci riporteranno sulla superficie del nostro satellite: cosa sappiamo davvero dell’esplorazione lunare e cosa ci riserva il futuro? 👉 A raccontarcelo sarà Andrea Ballario, con una conferenza al BiblioLab del Liceo…
Misteri sotto la Mole. Storie Piemontesi tra cronaca e leggenda Il CICAP presenta il nuovo libro "Misteri sotto la Mole - Storie Piemontesi tra cronaca e leggenda" di Sofia Lincos e Giuseppe Stilo. UFO, case infestate e fenomeni anomali hanno alimentato il folklore piemontese: questo volume li analizza con rigore storico e metodo scientifico. Con gli autori, esploreremo il confine tra leggenda e realtà, il ruolo de…
Decisioni in medicina Lucia, 60 anni, inizia a dimenticare parole e a sentirsi confusa. Temendo il peggio, cerca online e legge della malattia di Creutzfeldt-Jakob: eccola, è quella, ne è convinta. Pretende risonanze, EEG, visite. Non si rassegna. Molto tempo (ma anche esami, soldi, stress) dopo scoprirà che si trattava solo di stanchezza e ansia. L'eccessiva ricerca di conferme - che ha spinto Lucia a vedere solo …
Showing the 12 most recent of 20 posts we hold for @CICAP_Piemonte. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“CICAP in Piemonte” (@CICAP_Piemonte), 140 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/CICAP_Piemonte.
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.