# how random is ( rand() > rand() ? true : false )

I was going to post this question on SO but I suspect it needs mathematical treatment. I need to make a decision(True or False) while running a simulation and I decided that this particular decision should be random.
At first I compared a random value with a static value (0.5) but I soon realized that I am getting 50% True, and 50% False. (So I can use 0.75 if I want 75% True and 25% False)
But I didn't want this particular distribution. So I wrote a function which compared a random value (between 0 and 1) with another random value.
[I have taken care of seeding the random generator with microseconds so IMO 'seed'ing part is not the problem.]
The function looks like

getResponse() {
rand1 = rand();
rand2 = rand();
if ( rand1 > rand2 )
return True;
else
return False;
}


My question is how random is the outcome of this function?
Here is the outcome (1=True 0=False) for 100 calls to function
0001101001010100110011100100011001010111101101100110010100100001110111110110001101101110000111010100
Do you see any pattern? Should there be any pattern? What happens if I reseed the random generator after say every 3rd call?
If this approach doesn't look right, can you suggest any other approach?

### EDIT

I have realized my mistake of confusing pattern and distribution. I apologize for the same. I must understand first what distribution I want . Unless that is taken care of, I can not make any progress.
After going through comments and suggestions, I feel that a functional approach will either require keeping track of past results or decide on the distribution of outcome.
On second thoughts I decided neither is necessary if we get a constantly changing variable into the picture.
Enter microtime() which returns microseconds after current second.
Too bad I can't answer till next 8 hours, so I am excusing myself to type it here.

getResponse() {
return ( microtime()*1000000 % 2 ) ? True : False;
}

-
The probability of getting True is still 1/2. –  Florian Aug 25 '11 at 7:13
What distribution DO you want? –  Ricky Demer Aug 25 '11 at 7:16
So, the question should be: Does the quality improve if one compares two random numbers instead of comparing one random number to 1/2. I can't think of any reason why this should be true, but I can think of one why the quality can get worse: the cycle length decreases to one half of the original one. –  Florian Aug 25 '11 at 7:31
@Sudhi - what do you mean by random then? I'm unclear what you are trying to achieve. –  Mark Bennet Aug 25 '11 at 7:43
Maybe you want the probability of getting True to be fixed the start of each simulation. So, at the start, somehow determine a number p, and getResponse becomes { return rand() <= p; } Is this what you want? I'm just guessing wildly. –  Florian Aug 25 '11 at 8:41
darn! cant answer, here is the short of it. microtime() returns time in microseconds after the current second. So getResponse() { return ( microtime()*1000000 % 2 ); }. What do you think about it? –  Sudhi Aug 25 '11 at 10:00