“…In a noncollapsed format, A, B, A' and B' in Table 1 can be presented as: A: 10% chance of $5m, 89% chance of $1m, and 1% chance of nothing B: $1m for certain A': 10% chance of $5m and 90% chance of nothing B': 11% chance of $1m and 89% chance of nothing Allais argued that when individuals are faced with choices between A & B and A' & B' in the non-collapsed format, many individuals will display a preference for B and A', which violates the independence axiom. Allais' proposition is known as the Allais paradox (or the common consequence effect), and has been empirically supported in subsequent analyses (Camerer, 1989;Conlisk, 1989;Kahneman & Tversky, 1979;MacCrimmon & Larsson, 1979;Morrison, 1967;Moskowitz, 1974;Slovic & Tversky, 1974). …”