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Chart state and federal DUI and crash fatality data

@knothacker says they connected Exa to Muse and, within minutes, it pulled state and federal DUI and crash fatality data and built charts. This page covers the pull: setup, source checks, and the figures the author reported.

What you can get

Illustration — suggested task flow, not an execution result
  1. Prepare

    A topic and a geography (state, years)

  2. Ask and review

    Pick the question: arrests, fatalities or both, which state and which years.

  3. Check the result

    Charts and a short source-by-source table of DUI arrest and road-death figures, each traceable to a named dataset.

The source case

@knothacker reports never having used Exa until 30 minutes earlier: they created a free account in 30 seconds after seeing a post and connected it to Muse. By their account, Muse pulled state and federal DUI and road-death data and built charts, and they quote two California figures: DUI arrests of 366,834 in 1990 and 124,141 in 2019 (down 66%), and in 2024 912 of 3,876 road deaths involving a driver at .15 BAC or higher. They work in alcohol monitoring. The post names no datasets and shows no charts.

A public report by someone outside this library. Not independently reproduced here.

From the source

Source excerpt

I had never used @ExaAILabs until 30 minutes ago. I saw @jasonlk's post, created a free account in 30 seconds, and connected it to @Muse. In minutes it pulled state and federal DUI and crash fatality data and built charts.

@knothacker · Read it at the source · checked

Quoted from the original posts. Not written by this guide, and not a result produced here.

Suggested prompt

Bring A topic and a geography (state, years), A research connection set up in Muse, such as a search service account, Time to check the sources behind the charts. Source community report, checked 2026-10-14.

Written by this guide as a starting point, not quoted from the source. Your edits stay in this browser.

What you need

You supply

  • A topic and a geography (state, years)
  • A research connection set up in Muse, such as a search service account
  • Time to check the sources behind the charts

How to try it

Editorial, not from the source

  1. Pick the question: arrests, fatalities or both, which state and which years.
  2. Connect your research service to the agent following that service's own steps.
  3. Ask for each figure with its dataset, publisher, table and year, and open a few yourself.
  4. Check units: counts, rates and percentages differ, and state and federal definitions can differ.
  5. Have it chart the trends and label what is estimated.
  6. Cross-check headline numbers against the agency's own publication before using them anywhere.

What the author reported

@knothacker, who says they are "in the alcohol monitoring space", describes signing up for Exa after seeing another post and connecting it to Muse within half an hour. It "pulled state and federal DUI and crash fatality data and built charts".

They cite California DUI arrests falling from 366,834 in 1990 to 124,141 in 2019, and 912 of 3,876 road deaths in 2024 in crashes with a driver at .15 BAC or higher. These are the author's numbers; the post gives no dataset names.

Making the numbers checkable

Ask for a source table with every chart. Arrests, deaths and shares are different measures, so label each, and note if the agent computed a percentage rather than quoting one.

General practice, not from the post: state and federal agencies sometimes define terms differently, so confirm definitions before comparing.

Limits and confirmation points

Limits to confirm

  • The datasets, charts and queries are not shown.
  • The numbers are the author's reported figures; this guide has not verified them against any source.
  • How the Exa connection was configured is not described.
  • 'In minutes' is the author's estimate.
  • This is an attributed community report, not reproduced by this guide. The suggested workflow and checks are editorial guidance, not a recovered conversation or guaranteed product capability.

If it goes wrong

Editorial, not from the source

A figure has no source
Ask the agent for the dataset and page, and drop the number if it cannot give one.
Two sources give different totals
Ask the agent to show both and explain the definitions or years behind the gap.

Common questions

Can Muse chart public data?

One user reports it pulled and charted DUI and crash figures after connecting Exa. This guide has not reproduced it.

Are the California numbers correct?

They are the author's reported figures. This page has not checked them, and the post names no dataset.

Do I need Exa?

The author used it. The post does not say whether other sources would work.

Next

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