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Was Harry Truman Right?

Posted On  July 14, 2015

Harry S. Truman, 33rd President of the United States, famously said, “Not all readers are leaders, but all leaders are readers.”

“Haberdasher Harry” Truman, in addition to being voted one of the 10 best dressed men in Congress, was an avid reader. Growing up, he read every book in the Independence Public Library in Independence, MO.

If you’re looking to be a little more like Harry Truman… well, we can’t help you become a better dresser, but we can help you become a better reader (and a better leader.)

On the heels of our 2013 and 2014 Summer Reading List, based on LRW staff contributions, here’s our 2015 Summer Reading List. For leaders and readers of all kinds.

For the Data Leader:

For the Business Leader:

For The Leader Who Reads about Other Leaders:

For the Leader of Their Own Life:

For the Leader of the Discourse on Human Behavior:

For the Comic-Con Discussion Board Leader:

For the Book Club Leader:

For the Leader on the Group Text Planning a Beach Weekend:

So, leaders. What kind of reader (and leader) are you?  Let us know by sharing your favorite titles in the comments section.

Written by Trish Smyth
Marketing Manager
Trish is an LA-based writer and content specialist for LRW, a Material Company. She has a Linguistics degree from Georgetown University with a focus on sociolinguistics. She has worked in marketing and communications for seven years, building brands, producing content, and creating memorable brand experiences. When she’s not writing, Trish enjoys all the LA-approved fitness activities and reading.


  1. Trish a great selection and I have marked a couple as definites for August reading. The one area that has not been included in your selections is something on business statistics, probably hard to place as a leadership area, however now becoming a key point of focus on what is wrong with statistical interpretation in business (and academia). This book I am recommending to those more quant oriented is a fantastic guide for what is wrong with significance testing across the spectrum. So for the leader who wants to query supposed facts in data this may be a quick and valuable reference. Cumming, G. (2012). Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis. New York: Routledge


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