Electric Insights
EXPLANATORY MODELING · INTERACTIVE SIMULATION · TRANSPARENT METHODS

Electric Insights turns data into
explanation.

Most reporting tells you the answer. We also show what produced it — with explanatory models, plain-language results, and tools you can test yourself.

2

Live Case Studies

9

Interactive Tools

51

Years Apart

1

Shared Workflow

From Static Reporting to Interpretable Explanation

Many fields report topline outcomes without showing what drives them. Electric Insights helps close that gap through explanatory modeling, plain-language reporting, and interactive scenario testing.

Standard Reporting

  • Headline outcomes without explanatory depth
  • Limited visibility into what drives the result
  • Little or no way to test alternatives

The Electric Insights Approach

  • Model what drives the outcome
  • Translate results into outcome-level terms
  • Let users test “what if?” interactively

The Goal

  • More interpretable results
  • More transparent assumptions
  • More useful public and professional understanding
New to Electric Insights?

The JFK and NBA examples use the same core logic: define the outcome, identify the drivers, translate results into plain terms, and let users test scenarios. The Approach page explains that shared workflow in one place.

Featured Case Studies

Two live examples show how the same explanatory approach can be applied to very different domains.

See the shared approach behind both case studies
Public Opinion

JFK Approval

In November 1963, 57% of Americans approved of President Kennedy. What drove that number, and what might have changed it?

Dataset: Harris/Newsweek survey

Focus: explain headline approval and test scenario-based shifts

Sports Analytics

NBA 3-Point Shots

In the 2014–15 season, NBA players made about 35% of their three-point attempts. What shot conditions drove that number, and what might have changed it?

Dataset: 2014–15 SportVU shot logs

Focus: explain league-wide shot success under varying conditions

Get In Touch

Interested in applying this approach to a live decision problem, a public dataset, or a current research question? Reach out directly.

Location

Las Vegas, NV