She was out from five AM to eleven PM on most days. He was on the same schedule. They crossed paths in the flat at the margins of the day — the early morning, the very late night — and the crossings had the specific quality of encounters between two people who had built an understanding over twenty-two days and carried it with them through the days when there was no time to do anything with it.
Day Twenty-Two: she came back at eleven-fifteen PM to find him at the kitchen table with what appeared to be the Ward 7 data — her Ward 7 data, or rather, the same public data they both had access to. He had it laid out in a way she hadn't thought of — cross-referencing caste composition with 2019 voting patterns and the current registered voter list, looking for pockets of genuinely undecided voters rather than assuming the whole ward was locked. She stopped at the kitchen doorway and looked at the table. He had not heard her come in.
She should have gone to her room. She sat down instead. She looked at the data. "You're wrong about the Zone B segment," she said. "The 2019 data shows high volatility there — those voters split in 2014, came back in 2019, they're not locked."
He looked up, unsurprised by her presence, as if he had known she was there. "They came back in 2019 because of the national mood," he said. "The local candidate performance was weak. The national mood is different this cycle."
"The local performance is different too," she said. "The incumbent councillor from Zone B has had two corruption charges in the municipal committee. Both dismissed, but the association is there." She pulled his map toward her and pointed. "Zone B, sectors 4 and 5 — those voters are winnable by anyone who can demonstrate clean governance credentials. That's me, not you. Your party has the better national infrastructure promise in those sectors."
"You're telling me how to cut into your own vote bank," he said.
"I'm telling you where your analysis is wrong," she said. "Zone B is not locked for me. I have to earn it. The fact that your analysis says otherwise means you're not deploying resources there, which is a mistake."
He looked at her for a long moment. "Why are you doing this?" he said. "Not the civic reasoning this time. Actually why."
She met his eyes. The question deserved honesty, which was becoming the only mode she knew with him. "Because if you win I want you to have won properly," she said. "Not on a data error. I want this election to be what it should be — the better candidate wins on the merits. I need to know that whatever the result is, it was honest."