Michael Larsen

Helpful votes received on reviews: 89% (50 of 56)
Location: San Francisco, CA United States
In My Own Words:
Software tester by trade and by passion, Scouter by inspiration and calling, Snowboarder by the grace of God :).

Software testing, technology, mountain bikes, snowboarding, Scouting.


Top Reviewer Ranking: 50,886 - Total Helpful Votes: 50 of 56
Connections by James Burke
Connections by James Burke
History has the tendency of being seen as static and frozen when we view it from a a later time. What happened is what happened, and nothing else could have happened because, again, at that point, it is set in stone. Once upon a time, however, history could have gone any number of ways, and much of the time, it’s the act of change and transition that help drive history through various eras.

James Burke is one of my favorite historical authors, and I am a big fan of his ideas behind “Connected thought and events”, which makes the case that history is not a series of isolated events, but that events and discoveries coming from previous generations (an even eras) can give rise to… Read more
The Manga Guide to Databases by Mana Takahashi
The Manga Guide to Databases by Mana Takahashi
I’m already a fan of "The Manga Guide to” series, so I figured that “The Manga Guide to Databases” and their take databases would be in the same vein as their other titles (an accompanying storyline, an emphasis on practical topic coverage, and an emphasis on “kawaii”).

To meet that end, we are introduced to Princess Raruna, heir apparent to the Kingdom of Cod. We also meet her attendant, Cain, and a fairy named Tico that teaches them about databases… and anyone familiar with Manga has not batted an eye with that kind of a description (and sure, if you looked at the cover, you could probably have figured that out as well ;) ). For those not already familiar with Manga and… Read more
The Manga Guide to Statistics (Manga Guide To...) by Shin Takahashi
2 of 2 people found the following review helpful
For those of us who do software testing for a living, we know that we have a number of artifacts that come from our testing. One of those classes of artifacts is data. Tons and tons of data. How do we make sense of it all? What is worth looking at? Why is it worth looking at? What decisions can we make if we compile, analyze and distill the data we receive? More to the point, how do we analyze the data so that we can distill it? That’s where Statistics comes in handy.

I’ll be blunt. I took one statistics class when I was in college. I hated it. In fact, I never finished it. Please understand when I say “I have an aversion to statistics as something I have to actually do”, I am… Read more