The bradykinin hypothesis provides a computational-simulation model that explains many aspects of Covid-19, including some of its most bizarre symptoms.

Judge as of 2020-09-04. True: by that date there was a published bradykinin hypothesis for Covid-19 (e.g., Garvin et al., eLife 2020, which used Summit supercomputer analysis of gene expression) that offered a computationally derived model explaining several Covid-19 features, including unusual symptoms (e.g., vascular leakage, loss of taste or smell, arrhythmias), and the claim presents it as a hypothesis or model, which it does. Mostly true: the hypothesis existed and explained many symptoms, but it rested on computational gene-expression analysis rather than, strictly, a 'simulation'. Mixed: the hypothesis existed but explained only a few aspects. Mostly false: there was only an early or unpublished hypothesis with little explanatory scope. False: no such hypothesis or computational work existed by that date.

Set before the research began.

1. E1 Has the Summit Supercomputer Cracked COVID’s Code? IEEE Spectrum · 2 August 2020

   “We think we have a core mechanism that explains a lot of the symptoms where the virus ends up residing,”

2. E2 ORNL study suggests new pathway for COVID-19 inflammatory response Federal Labs (federallabs.org) · 29 July 2020

   “The bradykinin storm could explain the wide variety of symptoms experienced by COVID-19 patients, such as muscle pain, fatigue, nausea, vomiting, diarrhea, headaches, and decreased cognitive function.”

3. E3 ORNL study suggests new pathway for COVID-19 inflammatory response Federal Labs (federallabs.org) · 29 July 2020

   “If the team’s disease mechanism model is accurate and substantiated by experimental analysis, it may mean that existing medicines could be repurposed to slow the pathogenesis of COVID-19.”

4. E4 Is a Bradykinin Storm Brewing in COVID-19? | The Scientist The Scientist · 26 August 2020

   “Excess of the inflammatory molecule bradykinin may explain the fluid build-up in the lungs of patients with coronavirus infections. Clinical trials of inhibitors are putting this hypothesis to the test.”

The evidence shows that by mid-2020 a bradykinin model, linked to the Summit supercomputer, was said to explain a wide variety of COVID-19 symptoms [E1][E2][E3]. It does not show the computational method, whether the work was published, or that it explained the unusual symptoms the criteria name, so it cannot separate true from mostly true. The "mostly true" verdict rested on the work being gene-expression analysis, which no evidence item states.