Vantage Data House
Favorability
GOVERNOR LANDRY
Key Findings
Pre-treatment favorability baseline before experimental iGaming treatment
Note on Methodology
We estimate a machine learning ensemble that predicts opinion as a function of party, geography, age, sex, education, income, religion, race, and contextual variables. We generate predicted probabilities for detailed demographic cells and post-stratify them to the county, congressional district, state house, and state senate levels using turnout-adjusted population weights before aggregating to the national level. Reported differences (e.g., rural vs. urban) reflect differences in predicted support for those populations as they are composed—including their partisan and demographic makeup—rather than simple unweighted survey averages. As a result, rural–urban differences are not strictly ceteris paribus; they partly reflect differences in partisan composition. For ceteris paribus-style comparisons, we report within-group breakdowns and crosstabs (e.g., rural vs. urban within party).
Response Universe
Response Geography
Comparative
Ranking
“Overall, how would you rate your opinion of the following people and organizations?”
Favorability breakdown for each figure, sorted by net favorability for the selected subgroup
Geography
Net Favorability Map
Modeled net favorability for the selected figure across Louisiana parishes or cultural regions. Hover a unit for the full opinion breakdown.
Comparative
Favorability – Name Recognition Scatter Plot
Relationship between net favorability and name recognition
Projection
Favorability Calculator
Project how a figure’s favorability could shift as more voters become familiar with them
By default, this calculator assumes that voters who newly become familiar with a figure split favorable vs. unfavorable in the same ratio as voters who can already rate them.
In custom mode, you can choose what share of newly aware voters will be favorable. Unfavorable share is set automatically so the two always sum to 100%.
Demographics
Demographic Breakdown
Explore one selected question by demographic group
Interactive Explorer
Crosstabs Explorer
Cross-tabulated estimates for one selected question
Values are weighted poststratified estimates (percent).
Archetypes
Archetypes
View archetype support by question and response category
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