Made changes to ch08.asciidoc

ch08.asciidoc

@@ -492,7 +492,7 @@ Each phrase produces a completely different hash result. They seem completely ra
 
 The number used as a variable in such a scenario is called a _nonce_. The nonce is used to vary the output of a cryptographic function, in this case to vary the SHA256 fingerprint of the phrase. 
 
-((("difficulty target","defined")))To make a challenge out of this algorithm, let's set an arbitrary target: find a phrase that produces a hexadecimal hash that starts with a zero. Fortunately, this isn't difficult! If you notice in <<sha256_example_generator_output>>, we can see that the phrase "I am Satoshi Nakamoto13" produces the hash +0ebc56d59a34f5082aaef3d66b37a661696c2b618e62432727216ba9531041a5+, which fits our criteria. It took 13 attempts to find it. In terms of probabilities, if the output of the hash function is evenly distributed we would expect to find a result with a 0 as the hexadecimal prefix once every 16 hashes (one out of 16 hexadecimal digits 0 through F). In numerical terms, that means finding a hash value that is less than +0x1000000000000000000000000000000000000000000000000000000000000000+. We call this threshold the _target_ and the goal is to find a hash that is numerically _less than the target_. If we decrease the target, the task of finding a hash that is less than the target becomes more and more difficult. 
+((("difficulty target","defined")))To make a challenge out of this algorithm, let's set an arbitrary target: find a phrase that produces a hexadecimal hash that starts with a zero. Fortunately, this isn't difficult! <<sha256_example_generator_output>> shows that the phrase "I am Satoshi Nakamoto13" produces the hash +0ebc56d59a34f5082aaef3d66b37a661696c2b618e62432727216ba9531041a5+, which fits our criteria. It took 13 attempts to find it. In terms of probabilities, if the output of the hash function is evenly distributed we would expect to find a result with a 0 as the hexadecimal prefix once every 16 hashes (one out of 16 hexadecimal digits 0 through F). In numerical terms, that means finding a hash value that is less than +0x1000000000000000000000000000000000000000000000000000000000000000+. We call this threshold the _target_ and the goal is to find a hash that is numerically _less than the target_. If we decrease the target, the task of finding a hash that is less than the target becomes more and more difficult. 
  
 To give a simple analogy, imagine a game where players throw a pair of dice repeatedly, trying to throw less than a specified target. In the first round, the target is 12. Unless you throw double-six, you win. In the next round the target is 11. Players must throw 10 or less to win, again an easy task. Let's say a few rounds later the target is down to 5. Now, more than half the dice throws will add up to more than 5 and therefore be invalid. It takes exponentially more dice throws to win, the lower the target gets. Eventually, when the target is 2 (the minimum possible), only one throw out of every 36, or 2% of them, will produce a winning result.