O andar do bêbado: Como o acaso determina nossas vidas
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In this new book, physicist Leonard Mlodinow attempts to show why underestimating randomness is really not a good idea. He lays a foundatio ...more
I love the story about the "Ask Marilyn" column in Parade Magazine. Marilyn vos Savant holds the record for the world's highest IQ. She discussed the famous "Monty Hall" problem, and got aggra ...more
Mūsu dzīve ir pilna ar nejaušiem gadījumiem, varbūtībām un mazvarbūtīgām notikumu sērijām. Tai pat laikā cilvēka prāts absolūti nav piemērots tam, lai galvā analizētu varbūtības teorijas dažādus aspektus. Tā nav nekāda saskaitīšana, kas mums padodas intuitīvi. ...more
I watched the movie "21" in which a team of college students under the tutelage of a greedy professor make tons of money in Las Vegas by counting cards while playing Black Jack. In one scene of the movie, probabilities are discussed and the professor brings up the scenario of the 3 doors on "Let's Make a Deal" and asks the class if it's better to stick with your first choice of doors AFTER the host reveals one of the doors behind which ...more
This little book is just so good—not only does it give you just enough math to make you feel curious and satisfied, it tells a ripping good story about probability theory and statistics, providing along the way compelling portraits of the eccentric scientists and mathematicians who contributed to the fields. This time, I wanted to refresh my memory of all the thorny problems
What I for some reason failed to write about in my 2012 review and totally forgot about until ...more
The book is a bit chatty, and needs to focus a bit more on errors people make with statistics in their personal lives ... but Mlodinow hit on an essential concept.
I liked this lesson: that successful people are lucky, but that lucky people are persistent, flexible, and brave.
Briefly, but entertaining all the while, the author discusses famous incidents which illuminate the psychology behind mistaken beliefs of 'winning', discussing, ...more
If we were all unfeeling iRobots (floor cleaners) who respond to the random encounters in our lives by simply changing direction then the premise of this book is justified, for we would all follow our individual drunkard's walks to whatever probabilistic future awaits us. (view spoiler)[However taking this a step further, Leonard Mlodinow suggests that much of how our lives transpire is happenstance, defined by a supreme law of probability that governs what we experience and perceive as humans....more
Manches wird ein bisschen aufdringlich wiederholt (ok, Lektoren und Weinexperten sind auch nur Menschen), und manches ist ...more
Mlodinow explains that there are basically two definitions of random, and they don't always go together (pp. 84-85). The first is by Charles Sanders Peirce and basically states that a process or method is tr ...more
The Drunkard's walk, despite Mr. Mlodinow's attempts at following Mr. Gladwell's formula, does not succeed in copying Mr. Gladwell's easy to read voice as well. First of all, although the subtitle SAYS "how randomness rules our lives," I actually found the book to be ...more
I'm rereading it, but now I have a pavlovian sleep reaction to the text. I may never be able to grasp random now.
I thought it was interesting that he was able to explain things so clearly without using any formulas. Maybe I should recommend it to my students.
Mlodinow writes anecdotally, using salient examples from the news and his own life to illustrate how, in every conceivable domain, even intelligent people can't ...more
Mlodinow was born in Chicago, Illinois, in 1959, of parents who were both Holocaust survivors. His father, who spent more than a year in the Buchenwald death camp, had been a leader in the Jewish resistance under Nazi rule in his hometown of Częstochowa, Poland. As a child, Mlodinow was interested in both mathematics and chemistry, and while in high schoo ...more
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We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out “picture” is clear and accurate. But is it?”