LIVE

Political Stance Arena

Methodology

How arena datasets are built, what they can support, and what they cannot. Published so any number shown in the arena can be traced back to a stated rule.

01 · What this data is

World Stance verified-user data. This is public platform preference among self-selected, identity-verified users — not a scientific poll and not an official election result. Methodology

Arena results describe the preference of World Stance users who chose to take a stance on a given race. Participation is self-selected: users decide which races to open and whether to answer. That makes the data a measure of platform sentiment, not a probability sample of an electorate, and it is not weighted to demographic targets.

02 · The two datasets

Every race maintains two independent tallies, both always visible:

  • Local / In-State — stances from users whose verified location matches the race geography.
  • National — stances from any identity-verified U.S. user, regardless of location.

A stance always counts nationally. It counts locally only when the verified location matches. An Arizona user taking a stance on the Arizona Governor race appears in both tallies; a California user on the same race appears in National only.

Percentages are always derived from the same counts that produce the displayed sample size, so a published share and its N can never disagree. Shares include users who selected Neither / Undecided in the denominator.

03 · Identity and location verification

Only signed-in accounts can take a stance in the arena. Anonymous stances are never accepted, and the dataset a stance belongs to is decided on the server from the account's stored location — a client cannot assert which state it is answering from.

Current location method: self-declared, stored on the profile. A user selects their state once, either in their profile or through a prompt shown at their first stance. It is not inferred from IP address or network signals, so a stance cannot be relocated by changing device or network — but it is also not documentary proof of residence, and this page will be updated if and when a stronger method replaces it.

The state is recorded onto the stance itself at the moment it is taken, rather than read back from the profile later. A user who moves and updates their profile does not retroactively change any tally they have already contributed to.

Anti-fraud measures include one stance per account per race, enforced by a database constraint rather than by the interface, and stances that cannot be attributed to an account are rejected outright. A recorded stance is locked and cannot be edited or deleted by the user, so a published tally cannot be quietly revised. Stances removed by later integrity review are removed from both datasets, which is why a tally can move down as well as up.

04 · Display rules

A candidate's percentage takes the emphasized treatment only when it is both at or above 50% of all stances and ahead by at least 5 points. Below either threshold both candidates are shown in the same neutral treatment, so a close race never reads as settled.

Local datasets below 10,000 stances carry a small-sample caution. Candidate order within a race is fixed and never sorted by standing.

05 · Equal treatment for campaigns

Both sides of a race render from one template with identical limits. Surplus assets are truncated by the same rule on both sides, so no campaign can occupy more column space than its opponent:

  • 1 hero video
  • Up to 4 additional videos
  • Up to 5 “Why Support” cards, 220 characters each
  • Up to 3 issue / response modules
  • Up to 3 related stance question links

Campaigns control only their own side. Ranking and visibility are never driven by party. Every creative unit carries a persistent “Paid for by” disclosure naming the authorized committee.

06 · Geography definitions

Curated presets are editorial groupings maintained by World Stance and published here in full. Membership is never inferred from results:

  • Battlegrounds

    States World Stance tracks as competitive this cycle.

    AZ · GA · MI · NV · NC · PA · WI

  • Sun Belt

    Southern and southwestern growth states.

    AZ · CA · FL · GA · NM · NV · NC · SC · TX

  • Midwest

    Great Lakes and upper-plains states.

    IA · IL · IN · KS · MI · MN · MO · NE · ND · OH · SD · WI

  • Northeast

    New England and mid-Atlantic states.

    CT · DE · MA · MD · ME · NH · NJ · NY · PA · RI · VT

County and media-market filtering is published only where verified density supports it, and is not yet enabled.

← Back to the arena