Insiders Cash in $1.2 Million on Polymarket as U.S. Strikes Iran – A Masterclass in Betting!

So, here we are, with six lucky (or should I say, well-informed?) Polymarket accounts pocketing $1.2 million after correctly betting that the U.S. would strike Iran on February 28. And how did they know? Well, according to blockchain detectives at Bubblemaps, these accounts had funds flowing in within 24 hours of the attack, and-surprise!-they bought “Yes” shares in the “U.S. strikes Iran by February 28, 2026?” market just hours before the explosions rocked Tehran. How convenient!
![The system reveals how governance parameters-application preference [latex]\lambda_{app}[/latex], operator preference [latex]\lambda_{op}[/latex], and system preference [latex]\lambda_{sys}[/latex]-shape utility landscapes, peaking when a single preference dominates and smoothly trading off across the spectrum, suggesting inherent tensions in multiagent system design.](https://arxiv.org/html/2602.22230v1/2602.22230v1/plots/simplex_0.3_0.9.png)

![The study demonstrates that calculations of [latex]\cos(\gamma)[/latex] diverge between an interacting many-body state-obtained through DMRG-and a Kohn-Sham reference, as evidenced by the differing values represented by filled circles and open squares, with a value of one serving as a benchmark for comparison.](https://arxiv.org/html/2602.22578v1/2602.22578v1/x5.png)


![As the magnitude of [latex]\bm{\epsilon}[/latex] increases, perturbations grow progressively stronger when generating adversarial examples from a model encrypted with TT-SEAL, demonstrating the sensitivity of the system to input alterations.](https://arxiv.org/html/2602.22238v1/2602.22238v1/figures/examples.png)

