That is not to say election managers need a functional familiarity with Nash equilibria. They can, and do, focus their energies on manipulating individual expectations of collective behaviour till campaigning comes to a close. Electioneering is designed to shape the narrative to inform both personal and group choices. This adds another layer of complexity to predicting outcomes before ballots are cast. The entire process is dynamic till polling ends. This narrows the window for effective forecasting from the time the last vote is cast till the time official results are declared. Exit polls, thus, have a higher probability of getting it right than most pre-election forecasts.
Of course, the usual caveats on methodology apply. Samples have to be randomised for individuals and groups. Statistical modelling needs to incorporate the major strands of the electoral narratives. Error margins must allow pollsters to make calls that are not too close. Designed well, exit polls offer the first glimpse of collective behaviour, and do serve a purpose as an advance indicator. Before this stage, most political forecasting is more art than science, and best left to practising politicians who have their ear to the ground and ambitions in the air. The process of manufacturing consent is pretty well-established, and can lead to fairly predictable political outcomes.