• LOGIC
  • SIZE
  • PROBABILITY
  • HUMAN

How to validate statistical claims with your AI

Connect the Marilyn vos Savant Probabilistic Clarity Prover to your AI client. It forces your agent to account for base rates and sample sizes instead of just guessing.

Ask AI about this page

Short answer

How can I make my AI better at probability?

You use this MCP to audit conclusions by forcing the agent to evaluate base rates and sample sizes. It catches errors where the AI ignores the frequency of an event or relies on too small a sample. You'll get a breakdown of where the math fails.

The outcomes.

Where your logic lands.

The agent processes your data through these specific probabilistic checks.

LOGIC

Fallacy detection

The agent identifies logical gaps like the base rate fallacy. You get a clear explanation of why a conclusion is mathematically shaky.

SIZE

Sample size audits

The agent checks if your data pool is large enough to be meaningful. It flags conclusions drawn from insufficient evidence.

PROBABILITY

Base rate checks

It forces the agent to look at the underlying frequency of an event. This prevents overestimating rare occurrences.

HUMAN

Final judgment

The agent provides the math, but you decide if the logic holds for your specific context. You keep control of the final decision.

The workflow

What your AI does when a claim arrives.

The agent stops treating numbers as mere text and starts treating them as probabilities.

  1. Isolate the claim

    The agent pulls the specific statistical assertion from your text or data sheet.

    validate_probabilistic_clarity

  2. Check the base rate

    It looks for the underlying frequency of the event to see if the claim ignores the big picture.

    validate_probabilistic_clarity

  3. Audit the sample

    The agent evaluates if the number of observations is enough to support the conclusion.

    validate_probabilistic_clarity

  4. Flag the error

    The agent highlights the specific mathematical error or logical leap found in the data.

    validate_probabilistic_clarity

Try it

Copy these to start.

Paste these directly into your chat to begin the audit.

Starting points

Replace the bracketed text with your actual data or claims.

Marilyn vos Savant Probabilistic Clarity Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_4X3JYSBsdfrdsw0bbTNWVgKwG6T7UcBNfKmWy8Wm/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Marilyn vos Savant Probabilistic Clarity Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "marilyn-vos-savant-probabilistic-clarity-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4X3JYSBsdfrdsw0bbTNWVgKwG6T7UcBNfKmWy8Wm/mcp"
    }
  }
}
Copy into chat04

  • Audit this spreadsheet for any statistical claims that ignore base rates: [link to sheet]

  • Check the validity of this conclusion from my research notes: [paste text]

  • Does this sample size in my report justify the correlation being claimed? [paste text]

  • Analyze this data from my SQL query for any base rate fallacies: [paste data]

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect {{connectorName}} once, then ask.

One click connects this MCP to your client. Your credentials stay encrypted, and you can start auditing claims immediately.

Connect {{connectorName}} to your AI

FAQ

How this task behaves.

  • 01

    Can the AI fix my data automatically?

    No. The agent only audits and flags errors. You must manually correct your data or conclusions.

  • 02

    Does it work with any data source?

    It works with any data you paste into the chat or provide via a link that your AI client can access.

  • 03

    Will it rewrite my reports?

    No. It provides the probabilistic critique, but the final writing remains your responsibility.

  • 04

    Can it perform complex calculus?

    It focuses on probabilistic logic, base rates, and sample sizes rather than general high-level calculus.

  • 05

    Does it delete my files?

    No. This MCP only reads and analyzes data to provide feedback.

  • More questions about {{connectorName}}? The Connector page answers them. See everything the {{connectorName}} Connector can do

Connect Marilyn vos Savant Probabilistic Clarity Prover to Claude, Cursor, ChatGPT & more