Bernhard Mueller ✓

@muellerberndt · joined 29 Jun 2011

Chief Hacking Officer at Pragma Research

27 727Followers

1 900Following

9 480Posts total

4.9MViews on collected posts

Neueste Beiträge

Bernhard Mueller ✓@muellerberndt14 Sep

The Universe is relying on us to think itself into existence. Can't be bothered to do anything by itself. https://t.co/0BNS7KthIJ 45.7K views · 135 likes · 15 reposts · 11 replies Open on X →

Bernhard Mueller ✓@muellerberndt14 Sep

@muellerberndt Inverse square laws show space to be 3D. Time as a dimension is concurrent with space in velocity. 64 views · 1 likes · 0 reposts · 0 replies Open on X →

Bernhard Mueller ✓@muellerberndt14 Sep

I'm sure you have heard of simulation theory. We spent a year reverse-engineering the hardware and software of the sim with the help of @AnthropicAI and @OpenAI research-grade models. Wanna know how it works? Here's a quick explainer 👇 https://t.co/jr6frvoF3J

8:32

264.8K views · 103 likes · 5 reposts · 7 replies Open on X →

Bernhard Mueller ✓@muellerberndt11 Sep

@muellerberndt Don’t know the answer to your question…..night, night. 440 views · 1 likes · 0 reposts · 0 replies Open on X →

Bernhard Mueller ✓@muellerberndt11 Sep

@muellerberndt Quite simple once you understand. 1.1K views · 2 likes · 0 reposts · 1 replies Open on X →

Bernhard Mueller ✓@muellerberndt11 Sep

How the heck does a network of discrete self-reading observer patches output probabilistic quantum mechanics and a smooth 3+1 manifold? I visualized some of our simulation runs to make it more comprehensible. https://t.co/AoKOZSpO7z 909.6K views · 235 likes · 22 reposts · 10 replies Open on X →

Bernhard Mueller ✓@muellerberndt9 Sep

@muellerberndt Thanks for working in the direction of Axiom IX and Omega of Demianism. Please let your colleagues know that their work is blessed 🙏 https://t.co/OnBemn9RYo

997 views · 3 likes · 0 reposts · 1 replies Open on X →

Bernhard Mueller ✓@muellerberndt9 Sep

@muellerberndt If this were legitimate scientific research, there would be no reason to advertise it on X. Shouldn’t its audience be the academic community? Who funded the promotion? Who stands to profit? The most plausible explanation is an attempt to establish a new religion. 3.6K views · 8 likes · 3 reposts · 1 replies Open on X →

Bernhard Mueller ✓@muellerberndt9 Sep

@muellerberndt OPH liefert eine konkrete Maschine, deren Normalform unsere beobachtete Physik ergibt. UCST liefert ein Analyse‑Modell, das beschreibt, wie Systeme mit Rollen, Verantwortlichkeiten, Informationsflüssen und Konfliktauflösung funktionieren. https://t.co/C1InKcZPaE 1.4K views · 3 likes · 0 reposts · 1 replies Open on X →

Bernhard Mueller ✓@muellerberndt9 Sep

Information Physics Institute Blog: "From Simulation Theory to Concrete Implementation". This is how the hardware and software stack works. https://t.co/SHN3YlAH6w 3.6M views · 1.2K likes · 73 reposts · 18 replies Open on X →

Bernhard Mueller ✓@muellerberndt13 Apr

Once again I'm fed up with the censorship of OPH Sage and the inaccurate community notes on X. Follow me on @bluesky. https://t.co/FZpSm72eXi 79.5K views · 111 likes · 8 reposts · 32 replies Open on X →

Im Vergleich zu Konten gleicher Größe

10 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe2 478dieses Konto924Median für 10K–100K

Reichweite, %8.94%dieses Konto3.62%Median für 10K–100K

Interaktion, %0.28%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	2 478	924	2.68×
Reichweite (Aufrufe ÷ Follower)	8.94%	3.62%	2.47×
Interaktionsrate	0.28%	1.52%	0.19×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

79.5K13 Apr

3.6M9 Sep

1.4K

3.6K

997

909.6K11 Sep

1.1K

440

264.8K14 Sep

45.7K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.19%13 Apr

0.04%9 Sep

0.29%

0.34%

0.50%

0.03%11 Sep

0.28%

0.23%

0.04%14 Sep

1.56%

0.35%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes68.6%1 795 in total

Reposts4.8%126 in total

Replies3.1%82 in total

Quotes0.3%8 in total

Bookmarks23.2%606 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Ähnliche Konten