A. Volk

Hall of Fame Reviewer - 2011 2012 2013 2014
Back when I had long hair.
Top Reviewer Ranking: 1
Helpful votes received on reviews: 94% (2,105 of 2,249)
Location: Canada



Top Reviewer Ranking: 1 - Total Helpful Votes: 2105 of 2249
The King in Yellow and Other Horror Stories by Robert W. Chambers
As I suspect many people will, I bought this book because of my interest in HP Lovecraft as an author and understanding his source materials. The book is billed as a series of horror stories, but in my opinion it's more like a series of weird stories. Some of the stories are in fact horror stories (Maker of Moons was my favorite, and very HPL-like, Yellow Sign, Harbor Master, and The Messenger were also good) while others are simple strange stories (e.g., The Mask, The Demoiselle D'Ys). Overall, the quality of the writing is good, but not great. Almost all the stories start off with the plot device of someone recounting an implausible story in a note or article. The writing is also… Read more
One Renegade Cell: The Quest For The Origin Of Can&hellip by Robert A. Weinberg
I love this book for two reasons. First, it clearly explains (albeit in technical terms) what cancer is. It's not an infectious disease. It's not a foreign agent invading our body. It is, quite simply, a cell who's DNA gets damaged or mutated to a point where it ignores an important rule of multicellular life: don't keep reproducing yourself. Unlike bacteria, who can grow unchecked, if cells within a multicellular organism keep growing, the organism does too. If the cells in your fingers kept growing, your fingers would grow like your finger nails do. Clearly, that's not a viable way to "build" a body. So our cells are programmed to only grow under the right conditions, and… Read more
Applied Multiple Regression/Correlation Analysis f&hellip by Jacob Cohen Stephen G.&hellip
5.0 out of 5 stars A classic stats book, July 23 2014
This book is one of the tools that helped me really understand the mechanics (i.e., the guts) of multiple regression. A classic when it was written decades ago, it remains in print because it is one of the most authoritative guides to multiple regressions. It begins with a thorough review of correlations, including formulas where required (I still hand-calculate the significance of a difference between correlations with these equations). The remainder of the book (75% or so) deals with multiple regression in all of its various forms. It includes recommendations for what kind of regressions to use with what type of data, a detailed discussion of assumptions (and their violation), a… Read more

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