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The story respects that. The plot is coherent & the atmosphere is deadly serious & the characters are well drawn. You feel that Green Arrow has more to say to his dark friend but your desire for the stars to interact is left unfullfilled.
That was a good read, all in all, and could serve a primer for those two fine characters to meet up again & defy evil. Whether you get the full comraderie thing out of it is not certain...but the ending is dark & well deserved.
Here's for seeing them together again...
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This book lays out the pieces of medical choice-making in the context of the probabilities that underlie all desision making. It suggests that principled gambling is seminal to medical choices and makes suggestions, via numerous clinical vignettes, of how medical practice needs to change so that patients and practitioners can make better choices rather than those based on blind faith, short-term clinical efficiency, and shamanistic egos.
In short, this book deconstructs the mechanistic (know-it-all) paradigm of medical practice and replaces it with a probabilistic (don't know it all) paradigm that would, in most cases, be fairer and kinder to all.
Medicine would be a better place if the suggestions in this book were adopted.
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Some readers seem to be disappointed at this book by naively assuming what the title implies, as shown by some of the reviews here. They really can't blame anyone but themselves. Just because Burton Malkiel's classic didn't show us how to day trade doesn't mean a book with the opposite title will do so, nor did the authors ever claim that, either.
The punch line has two important parts: (i) the "random walk" hypothesis is false -- day to day movements in stock prices are not random bouncing that many extant models claim they should be; and (ii) most of us will never have the capabilities to employ these modeling techniques to put the rubber to the road and find out WHICH way stock X is going on December 13.
So it's fascinating in regard to the mechanics of asset pricing, but totally useless as a practical investment guide. But that doesn't mean it's a *bad* book or that it warrants a 3-star rating (the average at the time of this review). Blame _Business Week_ if you expected something else. The book is exceptional and does no more and no less than what it claims to do.
either as a follow on to Burton Malkiel's A Random Walk Down
Wall Street or as a primer for day traders. Hence it is
rather disappointing to read the reviews of those who
somehow managed to reach one of the preceding conclusions.
Several statistical studies have made it clear that the
markets are not completely random as asserted by much of the
academic economics community. It is impossible to prove or
refute the Efficient Markets Hypothesis, because, as Farmer
puts it, the EMH, by itself, is not a well-posed and
empirically refutable hypothesis. This book tries to
rigorously analyze the markets as they are.
The average investor could easily reach the same conclusions
as Burton Malkiel strives for, namely that he is best off
investing in an index fund. However, they do it in a more
interesting fashion than simply asserting that, on average,
one cannot beat the average.
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Commissioner Gordon faces this problem with his son while trying to solve a child abusing case. While Batman is being accused of being the insane homecidal killer of the child abuser. His only hope is a young girl that has been so afraid she won't talk.
This book has overwhelming pictures that push the boundries of comics. As you can see on the cover. I recomend this book to anyone (mature enough).
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I think there is still quite a lot of useful information in this book; however, a reader's patience is tested to the limits if he tries to extract it from this mass of text. The author could use some more time in extracting the useful bits and thus shortening the book (and making it a bit easier to carry too!)
In additions there are faults in this book's layout. The figures have no titles (it seems they are named with filenames they were stored in). There are also typos and grammatical mistakes (then instead of than etc.). All in all, nice idea, way too little work put into production.