Big Decisions Blog

The latest news and insights from the team at Hubbard Decision Research

Welcome and Thank You for Your Patience

Our new consolidated blog and downloads site for the two books - How to Measure Anything and The Failure of Risk Management - was a little problematic for a few new registrants. Anyone who needs to retrieve a forgotten password may run into a problem. If you do have...

read more

The New Look

The blog has just had a major makeover. The sales on my book have definitely been on the high end of my range and, consequently, the registrations on both book sites have been very high. Hopefully, this looks a bit more inviting. Tell us what you think.

read more

New Topics

Every forum should have one place where members can suggest new topics, combining topics or changing topics. If you think you have a measurement problem, question, or interest that doesn't fit into any of the other topics herein, then suggest it here and I'll make it....

read more

Evolving Taxonomy of Major Risks

Originally posted at http://www.howtomeasureanything.com, on Friday, September 11, 2009 9:02:59 AM, by Unknown. "On page 47 of HTFRM Mr. Hubbard refers to the website for viewing an evolving taxonomy of major risks. I am having trouble locating it, am I missing...

read more

What to say when they ask, “Why not 100% CI?”

Originally posted at http://www.howtomeasureanything.com, on Tuesday, September 08, 2009 8:20:46 AM, by Dreichel. "Hello, This is my first post on your board. I am excited to actually be able to pose this to the author (or to others who want to chime in). First some...

read more

Lens Model: Negative Value

Originally posted at http://www.howtomeasureanything.com, on Sunday, September 06, 2009 9:20:07 PM, by sujoymitra17. "While using Lens Model (multiple regression), I am getting negative scores for a few parameters and positive scores for few others. I am computing the...

read more

How do you backtest a probability estimate?

A question asked by a subscriber: I am sympathetic to the concept of using a Monte Carlo approach, perhaps using a cascaded series of Monte Carlo models to model inputs, to produce an estimated probability distribution. This seems like a more reasonable approach to...

read more

Newsletter