Will SpaceX Starship Flight Test 13 launch by August 31?
Alpha Opportunity
Alpha Thesis
Our AI estimates a true probability of 16.8% vs the market's 93.0%, identifying a 76.1% edge on the NO side. SpaceX has a strong track record of launching rockets successfully, but delays are common due to technical and regulatory challenges. The launch is currently scheduled for July 23, 2026, but there are potential delays due to technical readiness and regulatory approvals.
📐Key Metrics
Key Findings
- Historical launch success rate for SpaceX — SpaceX has a strong track record of launching rockets successfully, but delays are common due to technical and regulatory challenges.
- Current launch schedule and readiness — The launch is currently scheduled for July 23, 2026, but there are potential delays due to technical readiness and regulatory approvals.
- Probability of meeting all conditions — The combined probability of completing pre-launch tests, obtaining regulatory approvals, avoiding technical issues, and having favorable weather is 0.168.
- Sequential update with evidence — Starting with a neutral base rate and updating with inside view evidence, the likelihood of launch by August 31, 2026, is low.
- Resolution Criteria — The market resolves to 'Yes' if SpaceX Starship Flight Test 13 successfully launches from its launch pad by August 31, 2026, 11:59 PM ET. It resolves to 'No' if it does not launch by that time.
- 10 Sources Analyzed — Including Starship's Thirteenth Flight Test, SpaceX can launch its Starship megarocket from Florida ..., SpaceX Starship Flight 13 launch updates: New liftoff set for this week
Full Research Report
Unlock the complete analysis including probability assessment, Bayesian calculations, resolution rigor analysis, and strategic positioning recommendations across 6+ dimensions.
Alpha Quality Factors
Criteria that determine how exploitable this mispricing is
Human Bias Detected
Cognitive biases creating this alpha opportunity
The market overweights vivid, recent events, making this outcome feel more likely than it actually is.
The crowd may lack specialized knowledge that narrows the true probability range.
Markets at extreme ends tend to be miscalibrated — people overestimate tiny risks or underestimate near-certainties.