🔤🅰️🔤🔤🔤🔤🔤🅰️🔤 🔤🔤🔤🔤🅰️🔤🔤🔤🅰️ ➡️ Ricerche scientifiche da tutto il mondo ➡️ Materiali completamente tradotti in italiano ➡️ Documentari e approfondimenti da tutto il mondo ➡️ Testi e video a tema ➖➖➖➖➖➖➖➖➖➖➖➖➖ L'UNICO CANALE CHE VI FARÀ VEDERE QUANTO È PROFONDA LA TANA DEL BIANCONIGLIO. ➖➖➖➖➖➖➖➖➖➖➖➖➖ 👇UNITEVI E DIVULGATE I VIDEO👇 📱https://t.me/lanuovanormalita📱

Channel
Formae Mentis
@formaementis
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
18,863subscribers
-24 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001026180480 |
|---|---|
| Type | Channel |
| Username | @formaementis |
| Description | 🎯 Esperti in #LinguaggioDelCorpo #microespressioni #facs 📘Più di 20 libri pubblicati 🗞 Siamo in edicola sulla rivista Vivere lo Yoga 🔗 linktr.ee/fabiopandiscia 📱Instagram http://tiny.cc/n5cpzz di @fabiopandiscia |
| Created | Between 1 December 2015 and 31 July 2016— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/formaementis |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 01:45 | 18,863 | +4 |
| 12 Aug 2026, 17:17 | 18,859 | -3 |
| 11 Aug 2026, 15:56 | 18,862 | -10 |
| 10 Aug 2026, 15:51 | 18,872 | -9 |
| 9 Aug 2026, 14:14 | 18,881 | -9 |
| 8 Aug 2026, 11:14 | 18,890 | -1 |
| 7 Aug 2026, 14:42 | 18,891 | +7 |
| 6 Aug 2026, 11:31 | 18,884 | -3 |
| 6 Aug 2026, 02:15 | 18,887 | no change |
| 5 Aug 2026, 22:28 | 18,887 | first reading |
Engagement
37 posts held, back to 26 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 22 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.14%
- avg views ÷ 18,863 subscribers
- Avg views / post
- 1,540
- 37 posts measured
- Reaction rate
- 0.366%
- reactions ÷ views · ER floor
- Posts in window
- 37
- of 37 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 36 of 37 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 37 (26 July 2026 – 14 August 2026) |
| Views total | 56,803 |
| Reactions total | 206 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 21:19 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
- ≈2,030
- Videos
- ≈635
- Links
- ≈4,510
Lifetime counters from Telegram’s own channel header, read 14 August 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
- 2m 23s
- Average length
- 48s
Measured directly from 3 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.
Reaction mix
180 reactions across 32 posts, in 5 distinct kinds. The most used accounts for 68.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 123 | 68.3% | |
| ❤ | 52 | 28.9% | |
| 👏 | 2 | 1.11% | |
| 🤔 | 2 | 1.11% | |
| 🔥 | 1 | 0.556% |
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 36 of the 37 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 206reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 26 July 2026 to 14 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.
Recent posts
🔥 PODCAST 🎤 EP 16 La gioia Questa emozione, con l’energia e lo stato di attivazione che è in grado di suscitare ci spinge a raggiungere i nostri obiettivi. Sembra che proprio questo aspetto possa aver condotto l’uomo nel lungo processo di evoluzione della specie. Buon ascolto ! Fabio
👍1
🖐 𝐋𝐀 𝐓𝐔𝐀 𝐅𝐀𝐂𝐂𝐈𝐀 𝐒𝐓𝐀 𝐃𝐈𝐂𝐄𝐍𝐃𝐎 𝐋𝐀 𝐕𝐄𝐑𝐈𝐓𝐀̀ (Anche se tu stai mentendo!) Ti è mai capitato di ricevere un complimento che ti ha lasciato l’amaro in bocca? O di parlare con qualcuno che sembrava d'accordo con te, ma sentivi che c'era qualcosa che "non tornava"? 🤨 La scienza ha un nome per questo: si chiama 𝐈𝐧𝐜𝐨𝐧𝐠𝐫𝐮𝐞𝐧𝐳𝐚 𝐂𝐨𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐯𝐚. Forse non lo sai, ma esistono ben 18 modi diversi per sorridere. Eppure, solo UNO è qu…
👍7❤5
Ti hanno fatto credere che fosse colpa tua Che "forse non eri abbastanza". Che "avresti dovuto capire prima". Che "in fondo qualcosa avrai sbagliato". È una bugia Il tradimento non nasce da ciò che manca nella coppia. Nasce da ciò che manca nella struttura emotiva di chi tradisce. È un bisogno patologico. Una ferita infantile non risolta. Un fallimento strutturale del traditore — non tuo. "Quante notti hai passato…
❤3👍3
💬 “Lei cosa ne pensa del progetto?” E lui? Si aggiusta gli occhiali, un piccolo gesto che dice molto più delle parole. 👀 Spostare o toccare gli occhiali è uno dei tanti gesti cosiddetti “autocontattivi” o “pacificatori”. 👉 Serve a ridurre la tensione interna, a calmarsi o a guadagnare tempo durante un momento di disagio. 📚 Cosa ci dicono gli studi? ➡️ Desmond Morris (Bodytalk, 1994) descrive questi movimenti …
👍6
Studiare il linguaggio del corpo per un weekend. Dimenticarlo in un mese. La teoria non diventa competenza. Solo la ripetizione quotidiana lo fa. Il 7 Settembre apre il nuovo ciclo di 6 Mesi Senza Scuse su Telegram. 1 contenuto operativo al giorno. Casi reali. Verifica finale. Iscrizioni aperte fino al 5 Settembre 👉 https://formaementis.net/corso-6-mesi-senza-scuse/
👍3❤1
🕵️♂️ Quanto sei bravo a leggere il linguaggio del corpo? Guarda la scena 👨💼 Il gesto delle mani a guglia (in inglese steepling hands) è un classico del linguaggio non verbale, particolarmente studiato in ambito comunicativo, negoziale e persuasivo. 🔍 Sta rifiutando l’idea, è interessata o cosa? 👉 Tu cosa diresti? Scrivilo nei commenti. Vuoi saperne di più? 🎯 Nel portale sulla comunicazione non verbale trovi: …
❤4👍3
Ti hanno fatto credere che fosse colpa tua 👉 Che "forse non eri abbastanza" 👉 Che "avresti dovuto capire prima" 👉Che "in fondo qualcosa avrai sbagliato" È una bugia Il tradimento non nasce da ciò che manca nella coppia Nasce da ciò che manca nella struttura emotiva di chi tradisce È un bisogno patologico. Una ferita infantile non risolta. Un fallimento strutturale del traditore — non tuo. Ma tu lo sapevi? No.…
👍5
❌ 𝐍𝐨𝐧 𝐞̀ 𝐪𝐮𝐞𝐥𝐥𝐨 𝐜𝐡𝐞 𝐝𝐢𝐜𝐢… 𝐞̀ 𝐪𝐮𝐞𝐥𝐥𝐨 𝐜𝐡𝐞 𝐢𝐥 𝐭𝐮𝐨 𝐜𝐨𝐫𝐩𝐨 𝐭𝐫𝐚𝐝𝐢𝐬𝐜𝐞. Puoi avere le parole perfette. Puoi essere preparato. Puoi sapere esattamente cosa dire. Ma se il tuo corpo comunica altro… perdi credibilità in pochi secondi. 👉 Braccia incrociate 👉 Sguardo che sfugge 👉 Postura chiusa 👉 Movimenti nervosi Sono piccoli segnali. Quasi invisibili. Ma chi li osserva… li percepisce subito. 𝐄 𝐢𝐥 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐚 𝐞̀ 𝐪𝐮𝐞𝐬𝐭𝐨: non ti …
👍4
Corso online: 6 mesi senza scuse - solo su telegram Quando le parole dicono "sì", ma una spalla si alza di un millimetro, il corpo sta dicendo "no". Questa incongruenza dura 0,4 secondi. Se non hai allenato il tuo occhio a vederla ogni giorno, la perderai. Il sistema The Silent Edge non si basa su weekend di teoria mnemonica. Si basa sulla ripetizione operativa. Il 7 Settembre parte il nuovo ciclo di "6 Mesi Sen…
👍4
Non sei pazzo/a. Sei stato programmato Se ti chiedi "Ma sono io quello/a sbaglio?", se ti scusi per cose che non hai fatto, se non sai più distinguere il vero dal falso... fermati Non è colpa tua Tutti i narcisisti — dal partner al capo, dall'amico "tossico" al genitore — usano la stessa sequenza operativa Tre fasi. Sempre E lo fanno usando leve emotive che bypassano la tua razionalità: paura, senso di colpa, is…
👍3❤1
🎧 IL LINGUAGGIO DEL CORPO IN AZIONE - AUDIOLIBRO Il tuo corpo non mente. Tu sì. Il linguaggio del corpo non è una teoria. È un’arma. Un sistema di codifica che trasmette informazioni, influenza decisioni e rivela intenzioni nascoste — prima che la parola venga pronunciata. In ambito aziendale, chi sa leggere le microespressioni, ottiene vantaggi reali: selezioni più efficaci, negoziazioni vincenti, team più coesi.…
👍2❤1
Showing the 12 most recent of 37 posts we hold for @formaementis. 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 — 26,336 of 1,350,102entries 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.
Mentions
Named by 4 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Formae Mentis” (@formaementis), 18,863 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/formaementis.
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.