Here's a Python script for determining the average price of "The Market"

bets = api.get_all_bets(marketId=MARKET_ID)[::-1]

t = np.array([t0] + [bet.createdTime for bet in bets] + [tclose])

p = 100 * np.array([0.5] + [bet.probAfter for bet in bets])

p[within_two_of_edges] = np.round(p[within_two_of_edges], 1)

p[~within_two_of_edges] = np.round(p[~within_two_of_edges], 0)

avg = (p * np.diff(t)).sum() / (t[-1] - t[0])

, this script is giving results inconsistent with other users' calculations.

Will someone explain to me, to my satisfaction, in the comments, precisely why this code is wrong and disagrees with other calculations of the average probability?

If the code turns out to be correct, the market will resolve NO.

Finding a minor bug that changes the result slightly will not be sufficient to resolve the market YES - a YES resolution requires a full explanation of the reason behind disagreement with whatever number is used to resolve The Market.