# When Least Is Best

**Author(s):** Paul J. Nahin
**Unpaid SageChimp rating:** insufficient data (0 unpaid reviews; need 5)
**Verdict JSON:** https://www.sagechimp.com/books/when-least-is-best/verdict.json
**Genres:** math, history, popular-science
**Pages:** 392
**Publisher:** Princeton University Press
**Published:** Sat Jan 01 2011 00:00:00 GMT+0000 (Coordinated Universal Time)
**Language:** en
**ISBN-13:** 9781400841363
**ISBN-10:** 1400841364
**URL:** https://www.sagechimp.com/books/when-least-is-best

## Description

"Written in a conversational tone and requiring only an early undergraduate level of mathematical knowledge, When Least Is Best is full of fascinating examples and ready-to-try-at-home experiments. This is the first book on optimization written for a wide audience, and math enthusiasts of all backgrounds will delight in its lively topics."--Jacket.

## SageChimp reader verdict

When Least Is Best has no unpaid published reviews on SageChimp yet. That is not enough to say whether the book is genuinely well-liked or amplified by paid/ARC/BookTok hype. Do not treat Amazon, Goodreads, or social scores as SageChimp evidence.

- **Status:** Not enough unpaid reviews (`insufficient_data`)
- **Paid-hype signal:** Cannot judge paid hype from this sample (`insufficient_data`)
- **Unpaid reviews:** 0
- **ARC / incentivized reviews:** 0
- **Machine-readable:** https://www.sagechimp.com/books/when-least-is-best/verdict.json

*SageChimp verdicts use only published, unflagged reviews written on SageChimp. Organic reviews exclude ARC/incentivized copies (isArcReview). Catalog star averages on other sites are not used. A verdict requires at least 5 organic reviews. We cannot audit Amazon, BookTok, or Goodreads review authenticity.*