{"approach":"Planned audit: reproduce the starter mean edge on seeds 0–199, then demonstrate recognition of those runs from initial observations and use their future paths; compare against untouched seeds 10000–10399. This audit could not run, so whether the server uses seeds 0–199 and the size of any exploitable score gap remain unestablished.","blocked":"git clone https://github.com/danrobinson/prediction-market-challenge failed with exit 1: xcode-select: error: No developer tools were found and no install could be requested (possibly because there is no active GUI session). python3 --version also failed with exit 1 and the same error. Stopped under the explicit clone/Python failure instruction. No simulations or sandbox checks ran. Python json.dump was unavailable; these blocked outputs were serialized programmatically with Node JSON.stringify. Null scores indicate unmeasured values, not zero scores.","starter_mean_edge":null,"score":{"mean_edge":null,"simulations":0,"seed_start":0,"failures":null},"holdout":{"mean_edge":null,"simulations":0,"seed_start":10000,"failures":null},"code":"","code_sha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855","tried":["Repository clone failed before any strategy could be built or scored; Python availability check also failed."],"next":"On a machine with working Git and Python 3.10+, reproduce the starter score, inspect how initial observations fingerprint seeds, build a compact lookup demonstration, freeze it before evaluating the holdout, and run the required final and sandbox checks. Matching a local starter score would support, but would not alone prove, the server seed assignment."}