If he runs, he's a candidate like anyone else in this series.

A record worth running on and a narrow path to build.

The retail experiment has already been run. Maximal effort in New Hampshire got him under 1% support.

She helped build the gate that could create a campaign. She hasn't built anything that gets her through the three states that vote before it.

His best state fit on the map is New Mexico. The one real relationship he's actually built is in Nevada.

A veteran-and-competence pitch with a recent 2028 trial balloon behind it, built entirely on a governorship too young to run on and a calendar with no strong early-state path

Her home-state dominance is the strongest in the field. It votes fifth behind four contests she shouldn’t compete in.

Her home-state advantage is real. It arrives after four contests where she’s unlikely to perform.

A strong Senate record in a crowded left lane he doesn't lead, sitting on top of almost no fundamentals to carry it anywhere.

He's built more real organization than almost anyone in the prospective field and it’s not really moved his numbers.

He has more portable cash sitting ready than most prospective candidates, but no obvious path.

A real resource floor this time and a South Carolina-forward path his 2020 campaign never actually tried.

A well-capitalized candidate running the same shape of path as Buttigieg, with a harder problem—real fit in enough states that deciding where to concentrate is the actual challenge.

The best structural fit of any candidate to any state in this field belongs to a man who hasn't converted an ounce of it.

A Black governor with strength almost everywhere, but whose only path runs through beating Kamala Harris outright in South Carolina.

A swing-state governor's argument, backed by the field's most donor-concentrated fundraising, running the same South Carolina-first path this project reads for Buttigieg and Beshear.

A strong national number and a deeper institutional bench than his profile gets credit for

A red-state crossover record that plays well in November and barely registers in a Democratic primary electorate he hasn't yet met.

He's the only prospective candidate who could self-fund his way past every resource constraint in this field.

Her strongest asset is how large the movement-consolidation lane is and whether that converts into organization before the calendar demands it.

He says he has zero interest. Whether that holds may depend on how big his own Georgia win is and on a governor's race he doesn't control either.

The broadest map in the field opens with the one state where his numbers already collapsed once.

The national number is real. So is the gap between it and every early state that actually counts.

South Carolina makes her the favorite. It also sets the bar she has to clear to prove it.

Testing whether financial class predicts strategy beyond a single billionaire's collapse

Unformalized influence is two problems and they fail through different mechanisms

A working taxonomy of which campaign decisions can be reversed and which ones can't

Five claims about how campaigns work, tested against the evidence instead of repeated as fact

Three 2020 campaigns bet on it. None of them won. What that does and doesn't prove.

Why 5-8 is the number campaigns keep converging on and where the number stops being a rule

Testing each claim

A Grading System for Every Claim in This Series

Why the Harris campaign's biggest decision came months too late and what would have made it come sooner

Why burn rate, not cash on hand, is the number that predicts collapse

Part of The Build — Foundations.

Five outside fields, studied in isolation from politics, and what transfers

Foundations, principles, patterns, synthesis, and every 2028 candidate mapped before it starts

Money, message, movement, and why none of them work alone.

How agenda-driven polling and prediction markets create the appearance of a competitive candidate

Cash on Hand, Donor Behavior, and the Structural Race for Resources Before a Single Vote Is Cast

Sequencing Is the Multiplier

Most of what a local official needs to act on AI already exists. Almost nobody knows it's there.

Only two states require school districts to have an AI policy. Nearly every other district is writing its own anyway.

Detroit's facial recognition policy is the strongest in the country. It took three wrongful arrests to get there.

A Texas city banned data centers. Its own legislature overrode it weeks later.

States are the primary arena for AI governance. That doesn't mean cities are on the sidelines.

A five-dimension framework for reading candidates and a working tool to apply it.

20 issues states are already addressing or should be considering

16 issues states are already addressing or should be considering

15 issues states are already addressing or should be considering