Polls tell you what people think.
This shows you why.
A framework for turning survey data into explanations — not just numbers. Built on Harris’s 1963 Newsweek survey, open to anyone.
Original JFK Approval
Maximum Swing Potential
Key Drivers Identified
Interactive Analysis Tools
What’s Wrong with How Polls Are Reported
Most polls tell you the headline number but not what’s driving it. That’s the gap this work addresses.
The Standard Model
- • Headline percentages only
- • No explanation of what drives the number
- • Static — no way to ask “what if?”
The Electric Insights Approach
- • Model what drives the outcome
- • Show effects in plain percentage points
- • Let anyone test “what if?” interactively
The Goal
- • Open methods, open data
- • Any poll can ship with a browser-based model
- • Public can verify the numbers themselves
How It Works in Practice
Four steps from raw survey data to something anyone can use
Ask the Right Questions
Design surveys to capture not just what people think, but the issue-level evaluations that explain why they approve or disapprove.
Speak in Plain Numbers
Report effects as percentage-point shifts — not regression coefficients. If Khrushchev handling moves approval by 30 points, say that.
Let People Test “What If?”
Ship a browser-based simulator alongside the topline numbers. Anyone — journalist, researcher, or curious reader — can shift the dials and see what changes.
Show Your Work
Publish the model, the data, and the code. Independent verification shouldn’t require a data request — it should be one click away.
Case Study: JFK Approval
Our reanalysis of Louis Harris's survey for Newsweek just prior to John F. Kennedy's assassination demonstrates how explanatory modeling methods identify 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?
Five Ways to Explore the Data
Each tool asks a different question about the November 1963 Harris–Newsweek survey.
All-or-Nothing Simulator
What if every respondent felt the same way about an issue? Move one variable to an extreme and see how much it would have shifted Kennedy’s approval.
Try itFine-Tuning Simulator
Instead of extremes, shift the mix gradually — fewer people rating Vietnam as “Poor,” more rating the economy as “Excellent.” Watch how small distributional changes move the approval needle.
Try itNon-Response Test
Not everyone answers a survey. Could the people who didn’t respond have changed the headline result? Set how many non-respondents to assume and what they would have said.
Try itSurvey Explorer
Browse the raw responses. See how Americans answered each question, which questions moved together, and how one group compared to another.
Try itModel Builder
Pick survey questions, build a logistic regression model, and see which variables actually predicted approval. Test whether the published model holds up — or whether a different set of questions fits better.
Try itSee the Framework in Action
The JFK case study is live and free. Explore the data, run the models, and see what explanatory polling looks like in practice.
Get In Touch
Interested in applying this framework to a current survey? Want to discuss the methodology? Reach out directly.
Location
Las Vegas, NV