Frontier Data Group

Methodology

A research standard built on transparency.

Our methodology — Frontier Adaptive Response Sampling — is documented, publicly stated, and continuously refined. This page explains how it works and lets you explore it interactively.

The FARS System

Frontier Adaptive Response Sampling

A modern polling methodology designed to improve representation, transparency, and voter modeling.

Step 01

Geographic Digital Recruitment

Respondents are recruited through geographically targeted digital placements across desktop, tablet, and mobile devices within the survey area.

Step 02

Voter Validation

Responses are validated using geographic consistency checks, registration verification methods, turnout propensity indicators, and behavioral screening.

Step 03

Adaptive Weighting

Survey samples are balanced using demographic and political weighting benchmarks including age, gender, race and ethnicity, education, party registration, and prior voting behavior.

  • Age
  • Gender
  • Race & ethnicity
  • Education
  • Party registration
  • Prior voting behavior
Step 04

Likely Voter Modeling

Likely voter models incorporate turnout likelihood, political engagement, prior voting participation, and voter enthusiasm indicators.

Step 05

Transparency First

Frontier Data Group publishes methodology details, question wording, polling dates, and weighting categories publicly whenever possible.

Why this matters

We believe accurate polling requires reaching voters who are often overlooked by traditional research methods.

FARS · v3.2

Interactive Demo

How FARS Works

Move the controls below to see how adaptive weighting balances an under-represented raw sample into a more representative electorate. This is a visualization only — no polling results are shown.

Sample Balancing

Underrepresented voters → representative electorate

Live
18-3433.6%
35-4927.9%
50-6422.2%
65+16.3%

District focus

AZ-1

Geographic balancing visualization — illustrative.

Representativeness Index

conceptual
94/ 100

Visualization Demo Only

Live controls

Adjust the model

50

Shifts the weighting from younger to older voters.

YoungerOlder
50

Share of college-educated respondents in the frame.

HS or lessCollege +
55

Strictness of the likely-voter cutoff.

LooseStrict
50

Balance of Democratic and Republican registrants.

Dem-leanRep-lean

Standards & Commitments

Transparency, by document.

Open each card to read our research disclaimer, privacy and data protection commitments, participation terms, and transparency charter.