Electric Insights
ENHANCING PUBLIC OPINION RESEARCH

Beyond Polling Averages
Understand Why Opinions Shift

Causal modeling and interactive analysis tools that reveal the drivers behind public opinion

57%

Original JFK Approval

30pt

Maximum Swing Potential

6

Key Drivers Identified

6

Interactive Analysis Tools

A New Polling Paradigm

Transforming static data into dynamic strategic tools

Traditional Approach

  • Descriptive snapshots
  • Limited methodological transparency
  • Focus on "what" not "why"

Initial Transformation

  • Causal modeling framework
  • Interactive scenario testing
  • Percentage-point impact reporting

Future Vision

  • Open data platforms
  • Collaborative modeling
  • Democratic access to tools

Four-Pillar Implementation Framework

Operationalizing this transformation in practice

1

Causal Reframing

Redesign surveys to reveal why opinions shift, identifying the actual drivers that move approval ratings and key outcomes.

2

Impact Translation

Convert complex statistics into intuitive percentage-point impacts that decision-makers and engaged citizens can understand and act upon.

3

Interactive Simulation

Build scenario-testing tools that show how changing perceptions affect outcomes, creating "what-if" capabilities for strategy development.

4

Open Infrastructure

Document all methods and make data/tools publicly available, enabling verification and independent analysis to rebuild trust.

Case Study: JFK Approval

Our reanalysis of Louis Harris's survey for Newsweek just prior to John F. Kennedy's assassination demonstrates how causal methods reveal the drivers behind critical outcomes like approval.

Key Findings:

  • Economic perceptions: 24-point impact on approval
  • Khrushchev handling: 30-point approval swing
  • Civil rights opposition: 11-point reduction

Simulation Preview

What if all likely voters (rather than 12%) believed President Kennedy excelled at keeping the economy healthy?

57%
Original Approval
68%
Simulated Approval
Launch All-or-Nothing Simulator

Trusted Across Professions

Transforming opinion analysis

Journalists

"Finally a way to explain why opinions are changing, not just what has changed. Our readers love the interactive elements."
— Sarah K., Senior Political Reporter

Policymakers

"The simulation tools help us test how policy outcomes might affect public support before implementation."
— Michael T., Legislative Director

Academics

"This framework bridges the gap between rigorous methods and accessible results. My students love working with the tools."
— Dr. Angela W., Political Science Professor

Interactive Analysis Tools

Explore the data through different methodological lenses

All-or-Nothing

Simulate extreme scenarios—what happens if every respondent shares the same opinion?

Clear effects shown in percentage points
Try it now

Fine-Tuning

Adjust distributions incrementally to see how small shifts in opinion affect outcomes.

Explore gradual changes and tipping points
Try it now

Non-Response

Simulate how varying response rates might bias key outcome estimates.

Critical tool in low-response environments
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Explore

Analyze relationships in the raw dataset—frequencies, correlations, and crosstabs.

Hands-on data exploration
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Build

Construct your own models and simulators—test hypotheses and explore hidden bias.

From variable selection to causal framing
Try it now
All tools use the original 1963 Harris/Newsweek dataset

Ready to transform your approach to public opinion?

Start exploring with our JFK case study or build your own custom model

Get In Touch

Contact us to discuss how causal modeling can enhance your research

Location

Las Vegas, NV