Dogs and fat tails
Read OriginalThis article explores NYC dog name data from a dataset linked in a Hacker News post. The author notes the top names (Bella, Luna, Max, etc.) are unexpected and tests whether name frequencies follow a power-law distribution. They find that while power-law does not fit, a log-normal distribution fits remarkably well. The post includes references to related discussions on power laws and normal distributions, making it relevant to data analysis and statistical modeling in a tech context.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Limit token usage in Microsoft Agent Framework
Jesse Liberty
•
1 votes
2
How to Roll Back AI Agents: Incident Response, Circuit Breakers, and Recovery Patterns
Paul Bryant
•
1 votes
3
Avoiding Reasoning Model Failures with Microsoft Foundry
Luke Murray
•
1 votes
4
When Your AI Agent Lies: Silent LLM Fallbacks
Luke Murray
•
1 votes
5
Adding a custom MCP server to Claude and ChatGPT
Simon Willison
•
1 votes
6
Testing AI prompts and comparing models with promptfoo
Tim Deschryver
•
1 votes
7
Superlogical
Mitchell Hashimoto
•
1 votes