Channel
@walter_siegrist
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
1,996subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001482985759 |
|---|---|
| Type | Channel |
| Username | @walter_siegrist |
| Created | 22 December 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/walter_siegrist |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 14:18 | 1,996 | -3 |
| 6 Aug 2026, 11:23 | 1,999 | no change |
| 6 Aug 2026, 09:52 | 1,999 | first reading |
19 posts held, back to 30 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 2 pagesof 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 7 August 2026 |
|---|---|
| Posts held | 19 (30 July 2026 – 7 August 2026) |
| Views total | 8,182 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:08 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 4 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.
🇨🇭🇩🇪 DEUTSCHE ÜBERSETZUNG 🇦🇹🇱🇮 🔥 DR. DAVID MARTIN BRICHT SEIN SCHWEIGEN ÜBER DEN COVID KOMPLEX USA-Christian Oesch Netzwerk | 🇨🇭Verein WIR Dieses Interview hat es in sich. Absolute Pflicht für alle, die verstehen wollen, was hinter dem COVID Komplex steckt. ▶️🎥 https://youtu.be/FWrgAUPJR3U Dr. David Martin legt seine Sicht auf Hintergründe, Strukturen und Zusammenhänge rund um COVID 19, mRNA Technologien, Forschu…
Was um Himmels Willen wurde da verspritzt? https://x.com/realwsiegrist/status/2085002720453304561?s=46
Who guards the guardrails? Via Prof. Marcel Salathé, EPFL https://x.com/RealWsiegrist/status/2084896414782341267?s=20
Die doppelte Ironie der „Guardrails“ Das Phänomen zeigt eine düstere Parallele zu dem, was wir im Verlauf unseres Diskurses über Algorithmen und Sprachmodelle analysiert haben: [ DAS PARADIGMA DER STARREN SYSTEM-GÜTIGKEIT ] 1. DAS NARRATIV 2. DIE BLAUÄUGIGE ANNAHME 3. DIE TRAGISCHE REALITÄT "Wir schützen alle durch ► "System-Richtlinien verhindern ► Starrheit verh…
Interessantes neues Format, gerade abonniert https://youtu.be/U_N61z0ksbw?is=RRMqGaqAuvvUIKuy
Das Malone-Rogan-Interview ist damit nicht nur ein Dokument über COVID-19, sondern der historische Wendepunkt, an dem der Informationskrieg zwischen etablierten Institutionen und unabhängigen Netzwerken vollends öffentlich ausbrach. https://x.com/RealWsiegrist/status/2084725738100375619?s=20 Negative Wirksamkeit der Covid-Impfstoffe https://waltisiegrist.locals.com/post/2730871/negative-wirksamkeit-der-covid-impfsto…
Vergleichende Typologie der Täuschungsmächte https://x.com/RealWsiegrist/status/2084302935123485143?s=20
Frage an die KI: Wenn man mal rein theoretisch annehmen würde, das Covid-19 als Geheimdienstoperation geplant wurde, hätten die Planer damit rechnen können, dass die Mehrheit der Menschen sich ein so grosses Verbrechen nicht vorstellen können (kognitive Dissonanz)? Gibt es existierende Denkmodelle für einen solchen formalen Ansatz? Antwort KI (Quelle https://share.gemini.google/gSfMJkluCYy4 ) : Wenn man die Prämi…
25 Jahre alte Lüge https://x.com/richardgage_911/status/2083815013848875163?s=46
Dezember 2019. Hier spricht Peter Daszak (der Mann, dessen Unternehmen von Fauci finanziert wurde) buchstäblich nur wenige Tage vor Beginn der Pandemie über die Durchführung von „Gain-of-Function“-Forschung an Coronaviren. Daszak behauptete später, es sei ausgeschlossen, dass das Virus aus einem Labor entwichen sei https://x.com/mazemoore/status/2083722574396010575?s=20 https://x.com/RealWsiegrist/status/2083802189…
Der Bruch, den viele Bürger erleben, entsteht genau dann, wenn die Illusion zusammenbricht: Wenn sich herausstellt, dass der „unfehlbare Wissenschaftler“ am Podest lediglich ein Verwaltungsjurist oder Politologe war, der die Sprache der Wissenschaft instrumentalisiert hat, um administrative Ziele durchzusetzen. Die religiöse Aufladung des Funktionärs am Beispiel Anne Lévy https://x.com/RealWsiegrist/status/208379358…
Video, posted without a caption
Showing the 12 most recent of 19 posts we hold for @walter_siegrist. 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 — 240,099 of 1,480,688entries 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.
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.
Named by 2 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.
@walter_siegrist 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.
References a handle that is not a live channel — we have no record it ever was one.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Walter Siegrist Dr.med. FMH Innere Medizin” (@walter_siegrist), 1,996 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/walter_siegrist.
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.