RKILeaks event in Vienna on October 27th, 2024 Prof. Dr. Stefan Homburg “Political influence on the RKI”

Channel
RKI FIles Info
@rkifilesinfo
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
176subscribers
+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 | -1002178098685 |
|---|---|
| Type | Channel |
| Username | @rkifilesinfo |
| Description | Video-Download-Kanal |
| Created | Between 1 June 2024 and 18 September 2024— 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/rkifilesinfo |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 13:46 | 176 | no change |
| 7 Aug 2026, 13:49 | 176 | first reading |
Engagement
12 posts held, back to 18 September 2024 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 12 posts for this entry, the most recent from 11 November 2024. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 2
- Videos
- 61
- Links
- 5
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.
- Video runtime
- 1h 14m
- Average length
- 10m 39s
Measured directly from 7 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
7 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 4 | 57.1% | |
| ❤ | 2 | 28.6% | |
| 👍 | 1 | 14.3% |
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 3 of the 12 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 18 September 2024 to 11 November 2024, 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
Event in Wien vom 27.10.2024 Prof. Dr. Stefan Homburg „Politischer Einfluss auf das RKI“
💯4
Photo, posted without a caption
Photo, posted without a caption
Für den WhatsApp-Status - hier 30 Sekunden Schnitt „Das RKI und die Pandemie der Ungeimpften“
Das RKI und "Die Pandemie der Ungeimpften". Aus der deutschen Version der Episode 1 des Podcasts "Science From the Fringe".
Prof. Bhattacharya und Aya Velasquez über Prof. Drosten, Schulschließungen während Corona und das RKI. Aus dem Podcast "Science From the Fringe“ (KI generierte deutsche Übersetzung). Hier der Original-Podcast: x.com/SciFrTheFringe…
Deutsche Version der Episode 1 des Podcasts "Science From the Fringe“ Dr. Bhattacharya interviewt die Journalistin Aya Velázquez zu den brisanten Enthüllungen der "RKI-Files", die aufzeigen, wie das Robert Koch-Institut (RKI) die COVID-19-Politik in Deutschland beeinflusst hat. (aufgezeichnet am 17. September 2024) Original-Interview: https://x.com/SciFrTheFringe/status/1836534559858712978 (KI generiert und von un…
👍1
Hier kann man alle Sitzungsprotokolle des RKI Krisenstabs vom Zeitraum 2020 - 2023 herunterladen: https://rki-transparenzbericht.de/
Die Experten im RKI wussten, dass die Regierung lügt. Doch sie schwiegen. Die Maßnahmen waren ohne Evidenz und rein politisch motiviert, wie wir spätestens heute wissen. www.corona-protokolle.net
Science From The Fringe In Episode 1 of the Science From the Fringe podcast, @DrJBhattacharya interviews journalist @aya_velazquez about the bombshell revelations in the "RKI files," which revealed how the Robert Koch Institute (RKI) influenced Germany's COVID-19 policies. (recorded 9/17/2024) https://x.com/SciFrTheFringe
For WhatsApp Status - 30 seconds cut from Video 4
❤2
Showing the 12 most recent of 12 posts we hold for @rkifilesinfo. 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.
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
- 1
- 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
- 1
- vacant every time we have ever looked
@rkifilesinfo named 1 handle 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 1 post, 9 August 2026 – 9 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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“RKI FIles Info” (@rkifilesinfo), 176 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/rkifilesinfo.
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.