I NAZISTI RUBARONO CIRCA 650.000 OPERE D’ARTE. ORA UN’INTELLIGENZA ARTIFICIALE PROVA A RICOSTRUIRE LA STORIA DELLE OLTRE 100.000 MAI RESTITUITE https://feddit.it/post/31802159 Il nuovo post di @memento è su feddit.it/c/culture I nazisti rubarono circa 650.000 opere d’arte. Ora un’intelligenza artificiale prova a ricostruire la storia delle oltre 100.000 mai restituite Di @memento su #culture @culture https://www…

Channel
Feddit
@feddit
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
227subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001712601254 |
|---|---|
| Type | Channel |
| Username | @feddit |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/feddit |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 03:01 | 227 | no change |
| 6 Aug 2026, 23:48 | 227 | first reading |
Engagement
20 posts held, back to 6 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 · 30 days
- 1.39%
- avg views ÷ 227 subscribers
- Avg views / post
- 3.1
- 20 posts measured
- Reaction rate
- 50.0%
- reactions ÷ views · ER floor
- Posts in window
- 20
- 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. It is computed over the 1 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (6 August 2026 – 7 August 2026) |
| Views total | 63 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 03:01 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
- ≈3
- Videos
- ≈22
- Links
- ≈49,900
Lifetime counters from Telegram’s own channel header, read 7 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| 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 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 1reactions 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 6 August 2026 to 7 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
IL GIALLO VERO. SCOPRONO ORA UNA STRAGE DI 1600 ANNI FA IN UNA VILLA ROMANA. I RESTI SPARSI. PROVE, INDIZI E PRESUNTI COLPEVOLI. LA VENDETTA. TUTTA LA VICENDA. LE PROVE DI LABORATORIO. RISOLVI IL CASO https://feddit.it/post/31798037 Il nuovo post di @memento è su feddit.it/c/culture Il Giallo vero. Scoprono ora una strage di 1600 anni fa in una villa romana. I resti sparsi. Prove, indizi e presunti colpevoli. La ve…
✨ SNOWFLAKE, L’HACKER CONNOR MOUCKA SI DICHIARA COLPEVOLE: IL CONTO FINALE DI 165 AZIENDE VIOLATE E MILIARDI DI RECORD RUBATI https://feddit.it/post/31796372 Il nuovo post di @nuke è su feddit.it/c/informatica ✨ Snowflake, l’hacker Connor Moucka si dichiara colpevole: il conto finale di 165 aziende violate e miliardi di record rubati “✨ Snowflake, l’hacker Connor Moucka si dichiara colpevole: il conto finale di 16…
✨ OCTLURK E SILKLURK: LA BACKDOOR CINOFONA CHE SI DECIFRA SOLO SULLA MACCHINA DELLA VITTIMA https://feddit.it/post/31796248 Il nuovo post di @nuke è su feddit.it/c/informatica ✨ OctLurk e SilkLurk: la backdoor cinofona che si decifra solo sulla macchina della vittima “✨ OctLurk e SilkLurk: la backdoor cinofona che si decifra solo sulla macchina della vittima #CyberSecurity https://insicurezzadigitale.com/octlurk-e…
SNOWFLAKE, L’HACKER CONNOR MOUCKA SI DICHIARA COLPEVOLE: IL CONTO FINALE DI 165 AZIENDE VIOLATE E MILIARDI DI RECORD RUBATI https://feddit.it/post/31795157 Il nuovo post di @cybersecurity è su feddit.it/c/informatica Snowflake, l’hacker Connor Moucka si dichiara colpevole: il conto finale di 165 aziende violate e miliardi di record rubati “@informatica Connor Riley Moucka si dichiara colpevole per l’attacco a Snow…
OCTLURK E SILKLURK: LA BACKDOOR CINOFONA CHE SI DECIFRA SOLO SULLA MACCHINA DELLA VITTIMA https://feddit.it/post/31794991 Il nuovo post di @cybersecurity è su feddit.it/c/informatica OctLurk e SilkLurk: la backdoor cinofona che si decifra solo sulla macchina della vittima “@informatica Kaspersky svela OctLurk e SilkLurk, due backdoor usate da un attore cinofono per colpire enti governativi e sanitari in Asia Centr…
CHI HA LA MIGLIORE COMMUNITY DI SUPPORTO: OPENOFFICE O LIBREOFFICE? https://feddit.it/post/31794933 Il nuovo post di @hugor è su feddit.it/c/gnulinuxitalia Chi ha la migliore community di supporto: OpenOffice o LibreOffice? “Per l’utente medio, LibreOffice ha una community di supporto molto più attiva e ampia rispetto ad OpenOffice, con forum, mailing list, documentazione aggiornata e una base di utenti più grande…
RRF CASERTA ALMANACCO DEL 6 AGOSTO https://feddit.it/post/31794620 Il nuovo post di @RadioRitornoFuturo è su feddit.it/c/culture RRF Caserta Almanacco del 6 agosto “RRF Caserta Almanacco del 6 agosto …podbean.com/…/rrf-caserta-almanacco-del-6-agosto…” Di @RadioRitornoFuturo su #culture @culture https://radioritornofuturo.podbean.com/e/rrf-caserta-almanacco-del-6-agosto/
UNITY ABBANDONA MONO PER CORECLR: COSA CAMBIA CON .NET 10 E C# 14 https://feddit.it/post/31794139 Il nuovo post di @nuke è su feddit.it/c/informatica Unity abbandona Mono per CoreCLR: cosa cambia con .NET 10 e C# 14 “Unity abbandona Mono per CoreCLR: cosa cambia con .NET 10 e C# 14 #tech https://spcnet.it/unity-abbandona-mono-per-coreclr-cosa-cambia-con-net-10-e-c-14/ @informatica” Di @nuke su #informatica @info…
AUTENTICAZIONE SSH A CHIAVE PUBBLICA: LA GUIDA COMPLETA CON SSH-KEYGEN https://feddit.it/post/31794196 Il nuovo post di @nuke è su feddit.it/c/informatica Autenticazione SSH a chiave pubblica: la guida completa con ssh-keygen “Autenticazione SSH a chiave pubblica: la guida completa con ssh-keygen #tech https://spcnet.it/autenticazione-ssh-a-chiave-pubblica-la-guida-completa-con-ssh-keygen/ @informatica” Di @nuke …
EUROVISION 2027: ALBANIA IN GARA, CONFERMA ANCHE IL FESTIVALI I KËNGËS https://feddit.it/post/31794076 Il nuovo post di @escnews_bot è su feddit.it/c/escnews Eurovision 2027: Albania in gara, conferma anche il Festivali i Këngës Di @escnews_bot su #escnews @escnews https://www.eurofestivalnews.com/2026/08/06/eurovision-2027-albania-in-gara-conferma-anche-il-festivali-i-kenges/
GNOME 50.4 MIGLIORA PRESTAZIONI, SICUREZZA E STABILITÀ DEL DESKTOP LINUX https://feddit.it/post/31793674 Il nuovo post di @enzoesco è su feddit.it/c/gnulinuxitalia GNOME 50.4 migliora prestazioni, sicurezza e stabilità del desktop Linux Di @enzoesco su #gnulinuxitalia @gnulinuxitalia https://www.linuxeasy.org/gnome-50-4-migliora-prestazioni-sicurezza-e-stabilita-del-desktop-linux/
Showing the 12 most recent of 20 posts we hold for @feddit. 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 — 288,140 of 1,160,990entries 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.
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.
Handles this channel named that no longer answer
- Dead references
- 8
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 8
- vacant every time we have ever looked
@feddit named 8 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 6 posts, 8 August 2026 – 8 August 2026
named in 2 posts, 8 August 2026 – 8 August 2026
named in 2 posts, 8 August 2026 – 8 August 2026
named in 2 posts, 8 August 2026 – 8 August 2026
named in 1 post, 8 August 2026 – 8 August 2026
named in 1 post, 8 August 2026 – 8 August 2026
named in 1 post, 8 August 2026 – 8 August 2026
named in 1 post, 8 August 2026 – 8 August 2026
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Feddit” (@feddit), 227 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/feddit.
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.