counting backwards to zero

the future's so bright because the sun will eventually kill us 
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Surviving the World - Lesson 5 - Fame

Surviving the world
by Dante Sheperd

Daily lessons in science,love and life.

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In Between Meals: Ten Rules for Being Human

1.You will receive a body. You may like it or hate it, but it's yours to keep for the entire period.

2.You will learn lessons. You are enrolled in a full-time informal school called, "life."

3.There are no mistakes, only lessons. Growth is a process of trial, error, and experimentation. The "failed" experiments are as much a part of the process as the experiments that ultimately "work."

4.Lessons are repeated until they are learned. A lesson will be presented to you in various forms until you have learned it. When you have learned it, you can go on to the next lesson.

5.Learning lessons does not end. There's no part of life that doesn't contain its lessons. If you're alive, that means there are still lessons to be learned.

6."There" is no better a place than "here." When your "there" has become a "here", you will simply obtain another "there" that will again look better than "here."

7.Other people are merely mirrors of you. You cannot love or hate something about another person unless it reflects to you something you love or hate about yourself.

8.What you make of your life is up to you. You have all the tools and resources you need. What you do with them is up to you. The choice is yours.

9.Your answers lie within you. The answers to life's questions lie within you. All you need to do is look, listen, and trust.

10.You will forget all this.

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'Freakonomics' For Freaky Economics : NPR

'Freakonomics' For Freaky Economics

Weekend Edition Saturday, December 13, 2008 · Steven Levitt's best-selling book, Freakonomics, revitalized economics by explaining how economic principles affect our daily lives. With the economy so prominent in our lives today, how should we interpret what's going on?

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FiveThirtyEight: Politics Done Right

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RealScoop Celebrity Scoop Video Interviews Analyzed via Believability Meter Voice Analysis

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