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Looking for some math help

Nothing critical here -- just some idle contemplation for which I came
up empty ...

A few weeks ago I broke a 4 RF cycle drought. I played through,
rounded, 165K hands of 9/6 Jacks without a royal.

Now, that's hardly a cataclysmic event. But it did leave me with a
greater appreciation for cashback, bonuses, and other promotions :slight_smile:

I don't regard such a drought as wildly improbable, but it did leave
me wondering about how frequently you might expect a royal-less span
of such a length or greater.

And, that's where I'm at a loss ...

Ok, it's a no brainer to calculate the probability of failing to hit a
royal over the course of 160K hands (161,562 hands, for a closer
measure of 4 RF cycles in 9/6 Jacks -- max-ER strategy :wink:

I get 1.83% (but my math gets sloppy these days). From that
probability, it would be tempting to stretch to some calculation for
the expected number of played hands within which you look to have a
drought of at least 4 RF cycles.

But for every way in which an approach pops up in my hand (e.g.
binomial distribution), I promptly come up with a falacy. I've
ultimately come to the conclusion that there isn't a straightforward
math calc for this.

Can someone show otherwise?

- Harry

Harry,

I'll take a shot.

On average, once per cycle you hit a royal and have an "opportunity"
to start a dry spell. How about cycle/1.83%=40391/.0183=2.2 million
hands? If you play 2.2 billion hands, you will average about 1000 4
cycle losing streaks. Perhaps I am cheating by not answering the
exact question? I think that you are correct that depending on how
you state the question the math can be much harder. If you get to the
long run (many 4-cycle-slump cycles) and don't have to account for
start and stop points this solution seems valid to me.

btw, I'm not sure this is an appropriate forum to discuss stuff
popping up in your hand. :wink:

AJ

路路路

--- In vpFREE@yahoogroups.com, "Harry Porter" <harry.porter@...> wrote:

Nothing critical here -- just some idle contemplation for which I came
up empty ...

A few weeks ago I broke a 4 RF cycle drought. I played through,
rounded, 165K hands of 9/6 Jacks without a royal.

Now, that's hardly a cataclysmic event. But it did leave me with a
greater appreciation for cashback, bonuses, and other promotions :slight_smile:

I don't regard such a drought as wildly improbable, but it did leave
me wondering about how frequently you might expect a royal-less span
of such a length or greater.

And, that's where I'm at a loss ...

Ok, it's a no brainer to calculate the probability of failing to hit a
royal over the course of 160K hands (161,562 hands, for a closer
measure of 4 RF cycles in 9/6 Jacks -- max-ER strategy :wink:

I get 1.83% (but my math gets sloppy these days). From that
probability, it would be tempting to stretch to some calculation for
the expected number of played hands within which you look to have a
drought of at least 4 RF cycles.

But for every way in which an approach pops up in my hand (e.g.
binomial distribution), I promptly come up with a falacy. I've
ultimately come to the conclusion that there isn't a straightforward
math calc for this.

Can someone show otherwise?

- Harry

AJ wrote:

I'll take a shot.

On average, once per cycle you hit a royal and have an "opportunity"
to start a dry spell. How about cycle/1.83%=40391/.0183=2.2 million
hands? If you play 2.2 billion hands, you will average about 1000 4
cycle losing streaks. Perhaps I am cheating by not answering the
exact question? I think that you are correct that depending on how
you state the question the math can be much harder.

Well, I don't think there's any question that you've answered my
question which was what is the average occurrance of a 4 cycle RF
drought. If you're correct, then that would be once in 2.2 million hands.

But I don't quite see the 1.83% probability of a drought within any
given 4 cycle set of hands as being extended in this manner. There
are two problems:

- Can the 1.83% probability within any 4 cycle drought be properly
applied in this manner?

- Is there a problem when it comes to the interdependence of the
possible occurances of the event over any given number of hands?

路路路

------------

The math seems to answer the question: Over how many independent
cycles would you expect an event to occur once, on average, if the
probability of that event within any given cycle is 1.83%. For
example, if we were talking about a cycle of 1 (a single hand), this
would suggest that an event with a probability of 1.83% for one hand
would be expected to occur once in every 1/.0183 hands = 54.6 hands.

Thus far, I've stated the obvious and the answer you've arrived at is
once in 54.6 royal cycles. But that treats the problem as if the only
sets of hands we're looking at is each royal cycle as an independent
event -- I hope it's clear that I'm saying that this treats the
problem as if the only opportunity we have for a 4 cycle drought
occurs only once every 4 cycles, or, for example, only twice within 8
royal cycles.

That's not the case. Within 8 royal cycles, (again, for example),
there's aren't just two opportunities for a 4 cycle drought -- there
are (4*40391 + 1) opportunities. I'm counting, of course, each and
every sequence of 4 cycles in hands, where the first opportunity
(using the sympolism of [Hx] represents the xth hand in the sequence
of 8 royal cycles) extends H1-H40391, and the second runs H2-H40392, etc.

The problem is that the probability of a 4 cycle drought within a
sequence of 8 royal cycles of hands isn't a straightforward
calculation because each cycle isn't independent of each other.

------------

By way of example, let's look at a simplified version of this problem:

Let's say that we're dropping a marble that can fall into any one of
10 distinct slots, and the probability of it dropping into each slot
is equal at 10%. The outcome for which we're interested in is when
the marble doesn't fall into any slot other than 10. Clearly the
probability is 10%.

The question I'll pose is what is the probability of this outcome
happening twice in succession at least once over the course of 3
drops. Within those 3 trials, there are two opportunities for the
outcome. (This is analogous to the question of what is the
probability of a 4 cycle drought over the course of 4 cycle + 1 hands,
where again there are two opportunities for the event.)

This probability is equal to the probability of a success in the
1st/2nd drops + the probability of a success in the 2nd/3rd drops -
the probability of a success in the two overlapping sequence of 2
drops (where we want to count that occurrence as only only one success
and not two).

That works out to .01 + .01 - .001 or 1.9%. I'm going to suggest that
as you extend the problem over a greater number of drops and ask about
the probability of this outcome occurring over a greater number of
successive drops, the arithmetic becomes rather convoluted. In fact,
if you shorthand that general question and express the number of drops
as D and the number of successive positive outcomes as S, I don't
think there is a simple equation by which to calculate the desired
probability. It instead requires building an extended calculation
through what is likely some type of iterative method.

While you might program a computer to perform that iteration to arrive
at a probability, you're not going to write a simple equation in terms
of S and D to solve it.

------------

Thus, I think the only approach that will arrive at the answer I'm
looking for (to the same exact question that you took a stab at) is a
brute force one, obviously assisted by a program.

Care to make a call if I've come to the right conclusion or if,
instead, I've managed to lead myself down the proverbial garden path?

------------

You went on to comment:

btw, I'm not sure this is an appropriate forum to discuss stuff
popping up in your hand. :wink:

er ... I guess I can't exactly claim that was a typo in place of
"head" ... I'm loathe to suggest a Freudean slip, but it may be that
in the back of my mind I decided that an exercise in "MM" needed some
practical assistance??

Leave it to you, AJ, to comment on what might have tastefully left
without remark. I'll see to it that Linda gives you a whack for that
one :wink:

- Harry

AJ wrote:

Harry,

I'll take a shot.

btw, I want to assure you that I wasn't trolling here with a question
to which I had already come to a conclusion.

I've been mulling this since my original post, but the actual train of
thought I detailed didn't gel until I began my reply to your suggested
solution. I'm appreciative for a "shot" that served to get my hand
... er, head on straight in approaching the question.

- Harry

Harry:

I just want to make sure I understand the problem, because I hate to
try to solve a problem and then have someone say ...great, but that
wasn't my question.

So let me rephrase the question and you can correct any misconceptions:

Given a set of M hands, what is the probability that there will be a
sequence on N sequential hands or more without a royal? Do you want
to ensure that this happens only once, that is, you only have one
sequence of N sequential hands, or will you allow 2 or more sets, each
separated by at least one royal?

I am confused by your examples below. If you go 5 cycles without a
royal, then you wind up with a large number of 4-cycle sequences
withing those 5 cycles, but the whole thing can be considered just one
sequence that is 4 cycles or longer. A new sequence does not start
until you hit the royal.

As I see it, over the course of 8 cycles, you can have only one
sequence of 4 cycles or longer without a royal. It is possible to
miss over your first 4 cycles, hit the royal on the next deal, but
during the remainder of the 8 cycles, you will be one deal short of
being able to have a second 4-cycle drought.

Or, can you pose your marble drop question a little more clearly?
What exactly is the question?

- John

Harry Porter said...

The math seems to answer the question: Over how many independent
cycles would you expect an event to occur once, on average, if the
probability of that event within any given cycle is 1.83%. For
example, if we were talking about a cycle of 1 (a single hand), this
would suggest that an event with a probability of 1.83% for one hand
would be expected to occur once in every 1/.0183 hands = 54.6 hands.

Thus far, I've stated the obvious and the answer you've arrived at is
once in 54.6 royal cycles. But that treats the problem as if the only
sets of hands we're looking at is each royal cycle as an independent
event -- I hope it's clear that I'm saying that this treats the
problem as if the only opportunity we have for a 4 cycle drought
occurs only once every 4 cycles, or, for example, only twice within 8
royal cycles.

That's not the case. Within 8 royal cycles, (again, for example),
there's aren't just two opportunities for a 4 cycle drought -- there
are (4*40391 + 1) opportunities. I'm counting, of course, each and
every sequence of 4 cycles in hands, where the first opportunity
(using the sympolism of [Hx] represents the xth hand in the sequence
of 8 royal cycles) extends H1-H40391, and the second runs H2-H40392,

etc.

路路路

The problem is that the probability of a 4 cycle drought within a
sequence of 8 royal cycles of hands isn't a straightforward
calculation because each cycle isn't independent of each other.

------------

By way of example, let's look at a simplified version of this problem:

Let's say that we're dropping a marble that can fall into any one of
10 distinct slots, and the probability of it dropping into each slot
is equal at 10%. The outcome for which we're interested in is when
the marble doesn't fall into any slot other than 10. Clearly the
probability is 10%.

The question I'll pose is what is the probability of this outcome
happening twice in succession at least once over the course of 3
drops. Within those 3 trials, there are two opportunities for the
outcome. (This is analogous to the question of what is the
probability of a 4 cycle drought over the course of 4 cycle + 1 hands,
where again there are two opportunities for the event.)

This probability is equal to the probability of a success in the
1st/2nd drops + the probability of a success in the 2nd/3rd drops -
the probability of a success in the two overlapping sequence of 2
drops (where we want to count that occurrence as only only one success
and not two).

That works out to .01 + .01 - .001 or 1.9%. I'm going to suggest that
as you extend the problem over a greater number of drops and ask about
the probability of this outcome occurring over a greater number of
successive drops, the arithmetic becomes rather convoluted. In fact,
if you shorthand that general question and express the number of drops
as D and the number of successive positive outcomes as S, I don't
think there is a simple equation by which to calculate the desired
probability. It instead requires building an extended calculation
through what is likely some type of iterative method.

While you might program a computer to perform that iteration to arrive
at a probability, you're not going to write a simple equation in terms
of S and D to solve it.

------------

Thus, I think the only approach that will arrive at the answer I'm
looking for (to the same exact question that you took a stab at) is a
brute force one, obviously assisted by a program.

Care to make a call if I've come to the right conclusion or if,
instead, I've managed to lead myself down the proverbial garden path?

------------

You went on to comment:

> btw, I'm not sure this is an appropriate forum to discuss stuff
> popping up in your hand. :wink:

er ... I guess I can't exactly claim that was a typo in place of
"head" ... I'm loathe to suggest a Freudean slip, but it may be that
in the back of my mind I decided that an exercise in "MM" needed some
practical assistance??

Leave it to you, AJ, to comment on what might have tastefully left
without remark. I'll see to it that Linda gives you a whack for that
one :wink:

- Harry

Harry,

Sorry for slow reply.

I am so far sticking with my answer - a four cycle JOB royal drought
occurs ON AVERAGE about once per 2.2 million hands IN THE LONG RUN.
As I attempted to articulate my thinking, I may have found an equation
to answer a somewhat more general question, the expected number of
slumps of some minimum length over a limited interval. If I was all
wet before, I am completely under water now.

You were objecting to my solution at least partially based on lack of
independence of droughts. The fact that a drought in progress
precludes starting another drought does make answering some questions
more difficult. In your marble game analogy, you asked what is the
probability of at least one "drought" in a series of trials. I agree
that this methodology will not answer this question. My methodology
is only to calculate the average number of droughts in an interval. I
believe this was the original question. It does give the probability
of a drought in a relatively short interval, where two droughts are
not possible, but is not adequate over longer intervals. For
instance, I don't have an answer to the probability of one or more 4
cycle droughts over 10 cycles. I, like you, suspect that some number
crunching iteration is likely necessary.

I am defining a drought as the interval between royals, REGARDLESS OF
LENGTH (two royals in a row would be a zero hand drought). I think
this makes droughts independent and simplifies the math. Using this
definition, every drought you experience except your "virgin drought",
the slump from the start of play, begins with a royal.

Every time you play a hand you have a (1/40391) chance of hitting a
royal and starting a new drought.

Each drought, except those that start within 4 cycles of your stop
point, has a 1.83% chance of being 4+ cycles long.

Every hand you play, except for ones within 4 cycles of the last hand
you play, has a (1/40391)*.0183 chance of INITIATING a 4 cycle+
drought during your play. When you are less than 4 cycles from your
stop point, you cannot initiate a 4+ cycle drought., because you will
quit before it can "ripen".

Expected number of 4+ cycle droughts experienced over X hands =

聽聽聽聽聽聽聽聽聽.0183+(X-4*40391)*.0183/40391

You have a .0183 chance of having a 4+ drought right out of the blocks

You have a .0183/40391 chance of initiating a 4+ cycle drought for
every hand played, except those within 4 cycles of your stop point.

You have zero chance of initiating a 4+ cycle drought in the last 4
cycles played, so 40391*4 is subtracted from hands played.

Applying this equation to an 8 cycle interval (your example) I get an
expectation of .0915 4 cycle+ slumps. This is also equal to the
probability of a 4+ cycle drought in an 8 cycle interval, since we
can't squeeze more than one 4+ cycle slump in an 8 cycle interval.

As X=number of hands played becomes very large, the equation approaches
X*.0183/40391 or 1/(2.2 million hands)

btw, In a few places I probably should have used 40390 or 40392 in
place of 40391, and maybe X-1 in place of X, but this is government
work isn't it?
Corrections, objections, comments, ridicule welcome.

AJ

AJ wrote:
> I'll take a shot.
>
> On average, once per cycle you hit a royal and have an "opportunity"
> to start a dry spell. How about cycle/1.83%=40391/.0183=2.2 million
> hands? If you play 2.2 billion hands, you will average about 1000 4
> cycle losing streaks. Perhaps I am cheating by not answering the
> exact question? I think that you are correct that depending on how
> you state the question the math can be much harder.

Well, I don't think there's any question that you've answered my
question which was what is the average occurrance of a 4 cycle RF
drought. If you're correct, then that would be once in 2.2 million

hands.

But I don't quite see the 1.83% probability of a drought within any
given 4 cycle set of hands as being extended in this manner. There
are two problems:

- Can the 1.83% probability within any 4 cycle drought be properly
applied in this manner?

- Is there a problem when it comes to the interdependence of the
possible occurances of the event over any given number of hands?

------------

The math seems to answer the question: Over how many independent
cycles would you expect an event to occur once, on average, if the
probability of that event within any given cycle is 1.83%. For
example, if we were talking about a cycle of 1 (a single hand), this
would suggest that an event with a probability of 1.83% for one hand
would be expected to occur once in every 1/.0183 hands = 54.6 hands.

Thus far, I've stated the obvious and the answer you've arrived at is
once in 54.6 royal cycles. But that treats the problem as if the only
sets of hands we're looking at is each royal cycle as an independent
event -- I hope it's clear that I'm saying that this treats the
problem as if the only opportunity we have for a 4 cycle drought
occurs only once every 4 cycles, or, for example, only twice within

8 royal cycles.

That's not the case. Within 8 royal cycles, (again, for example),
there's aren't just two opportunities for a 4 cycle drought -- there
are (4*40391 + 1) opportunities. I'm counting, of course, each and
every sequence of 4 cycles in hands, where the first opportunity
(using the sympolism of [Hx] represents the xth hand in the sequence
of 8 royal cycles) extends H1-H40391, and the second runs H2-H40392,

etc.

路路路

--- In vpFREE@yahoogroups.com, "Harry Porter" <harry.porter@...> wrote:

The problem is that the probability of a 4 cycle drought within a
sequence of 8 royal cycles of hands isn't a straightforward
calculation because each cycle isn't independent of each other.
------------

By way of example, let's look at a simplified version of this problem:

Let's say that we're dropping a marble that can fall into any one of
10 distinct slots, and the probability of it dropping into each slot
is equal at 10%. The outcome for which we're interested in is when
the marble doesn't fall into any slot other than 10. Clearly the
probability is 10%.

The question I'll pose is what is the probability of this outcome
happening twice in succession at least once over the course of 3
drops. Within those 3 trials, there are two opportunities for the
outcome. (This is analogous to the question of what is the
probability of a 4 cycle drought over the course of 4 cycle + 1 hands,
where again there are two opportunities for the event.)

This probability is equal to the probability of a success in the
1st/2nd drops + the probability of a success in the 2nd/3rd drops -
the probability of a success in the two overlapping sequence of 2
drops (where we want to count that occurrence as only only one success
and not two).

That works out to .01 + .01 - .001 or 1.9%. I'm going to suggest that
as you extend the problem over a greater number of drops and ask about
the probability of this outcome occurring over a greater number of
successive drops, the arithmetic becomes rather convoluted. In fact,
if you shorthand that general question and express the number of drops
as D and the number of successive positive outcomes as S, I don't
think there is a simple equation by which to calculate the desired
probability. It instead requires building an extended calculation
through what is likely some type of iterative method.

While you might program a computer to perform that iteration to arrive
at a probability, you're not going to write a simple equation in terms
of S and D to solve it.
------------

Thus, I think the only approach that will arrive at the answer I'm
looking for (to the same exact question that you took a stab at) is a
brute force one, obviously assisted by a program.

Care to make a call if I've come to the right conclusion or if,
instead, I've managed to lead myself down the proverbial garden path?

AJ wrote:

Harry,

Sorry for slow reply.
I am so far sticking with my answer - a four cycle JOB royal drought
occurs ON AVERAGE about once per 2.2 million hands IN THE LONG RUN ...

My apologies in return for my delay in response. I appreciate your -
and John's - post.

My concentration's been a little sidetracked and I'm not able to fully
digest and respond immediately. I'll pursue this further in a few
days. (I look to do so privately since I expect the "thread" to be
pretty tedious for almost all.)

Thanks!

- Harry

I'm interested in this thread. Those who find it tedious will surely skip
it with minimal effort, so why not keep it here?

路路路

On Saturday 12 August 2006 9:15 pm, Harry Porter wrote:

AJ wrote:
> Harry,
>
> Sorry for slow reply.
> I am so far sticking with my answer - a four cycle JOB royal drought
> occurs ON AVERAGE about once per 2.2 million hands IN THE LONG RUN ...

My apologies in return for my delay in response. I appreciate your -
and John's - post.

My concentration's been a little sidetracked and I'm not able to fully
digest and respond immediately. I'll pursue this further in a few
days. (I look to do so privately since I expect the "thread" to be
pretty tedious for almost all.)

Steve Jacobs wrote:

I'm interested in this thread. Those who find it tedious will surely
skip it with minimal effort, so why not keep it here?

Fair enough ... I guess I can count on Jean to keep a ready finger on
the delete key :slight_smile:

- H.

Nothing critical here -- just some idle contemplation for which I came
up empty ...

A few weeks ago I broke a 4 RF cycle drought. I played through,
rounded, 165K hands of 9/6 Jacks without a royal.

Now, that's hardly a cataclysmic event. But it did leave me with a
greater appreciation for cashback, bonuses, and other promotions :slight_smile:

I don't regard such a drought as wildly improbable, but it did leave
me wondering about how frequently you might expect a royal-less span
of such a length or greater.

And, that's where I'm at a loss ...

Ok, it's a no brainer to calculate the probability of failing to hit a
royal over the course of 160K hands (161,562 hands, for a closer
measure of 4 RF cycles in 9/6 Jacks -- max-ER strategy :wink:

I get 1.83% (but my math gets sloppy these days). From that
probability, it would be tempting to stretch to some calculation for
the expected number of played hands within which you look to have a
drought of at least 4 RF cycles.

The 1.83% figure is the correct value for the probability that your
most recent royal will begin a drought that lasts for at least 4 RF cycles.

I'm guessing that you used a formula like:

P = [(C-1)/C]^(4*C), where C is the RF cycle, to compute the
1.83% value. A very good approximation for this value is 1/(e^4)
which comes from noting that (1/e) ~= [(N-1)/N]^N. This
approximation is accurate to bettern than 0.1% whenever N
is larger than 500.

But for every way in which an approach pops up in my hand (e.g.
binomial distribution), I promptly come up with a falacy. I've
ultimately come to the conclusion that there isn't a straightforward
math calc for this.

Can someone show otherwise?

I'll try, but I'm not completely sure my approach is valid.

The question boils down to how to compute probabilities for
rare events. The math should work out the same whether the
rare event is "hit a royal flush" or "experience a 4+ RF drought".

The answer to your main question depends on how the problem
is phrased. If you pose the problem as 1) "How many hands are
required to expect a 50% chance of (rare event)" then you will get
a different answer than if you ask 2) "If one plays for billions of hands,
while counting the number of rare events, then how many hands
on average will be played per rare event?"

Question 2) is simply the "cycle" of the rare event, and we can
use the royal cycle as an example. The 40390 number for 9/6 JoB
playing max-ER strategy, gives the average number of hands.

The cycle is not the same as the number of hands needed in
order to expect a 50% chance of witnessing one or more of the
rare events. But, if we know the cycle, we can compute this
value (call it M). The value is given by solving:

[(C-1)/C]^M = 0.5

which implies:

M*ln[(C-1)/C] = - ln(2)
M = [- ln(2)] / ln[(C - 1)/C]

So, for a royal cycle of 40390, we get

M = 27995.87

So, although the royal cycle is 40390, we only have to play
27996 hands to have a 50% chance of hitting a royal.

An approximate formula for M is:

M = C * ln(2)

This can be seen by noting that

[(C-1)/C]^M = {[(C-1)/C]^C}^(M/C) ~= e^(-M/C)

so that we get M by solving

e^(-M/C) = 1/2

which leads to

-M/C = ln(1/2) = -ln(2)
M = C * ln(2)

So, back to our original problem. We know the probability of
a drought of 4+ cycles is given by e^(-4). This gives the figure
of 54.6 royal cycles per "4+ RF drought cycle". So, if Harry's
original question is asking how long to play to have a 50%
chance of one or more "4+ RF drought", then I think the answer
is given by:

54.6 * ln(2) = 37.84 RF cycles.

In order to be sure, I'd have to do a brute force solution. I think
I know how to set that up, but I don't have time right now to
describe that method.

I hope this helps.

路路路

On Monday 07 August 2006 12:51 am, Harry Porter wrote:

I inquired about a means by which :

> But for every way in which an approach pops up in my hand (e.g.
> binomial distribution), I promptly come up with a falacy. I've
> ultimately come to the conclusion that there isn't a
> straightforward math calc for this.
>
> Can someone show otherwise?

Steve Jacobs replied:

I'll try, but I'm not completely sure my approach is valid ...

The answer to your main question depends on how the problem
is phrased. If you pose the problem as 1) "How many hands are
required to expect a 50% chance of (rare event)" ...

You've eloquently captured my intended query in the first shot. In my
presentation of my question I butchered it and appreciate your
clarification. My apologies to AJ for likely having led him to answer
your alternate interpretation.

The cycle is not the same as the number of hands needed in
order to expect a 50% chance of witnessing one or more of the
rare events. But, if we know the cycle, we can compute this
value (call it M). The value is given by solving:

[Steve goes on to derive the desired equation] ...

He continues with:

So, back to our original problem. We know the probability of
a drought of 4+ cycles is given by e^(-4). This gives the figure
of 54.6 royal cycles per "4+ RF drought cycle". So, if Harry's
original question is asking how long to play to have a 50%
chance of one or more "4+ RF drought", then I think the answer
is given by:

54.6 * ln(2) = 37.84 RF cycles.

In order to be sure, I'd have to do a brute force solution. I think
I know how to set that up, but I don't have time right now to
describe that method.

Hmmm, approx 1.5 mm hands suggests that I have a 50/50 expection of
another such drought (or worse) within 6 years down the road at my
somewhat casual play frequency. Your answer satisfies my expectation
that it would fall within 54.6 cycles, but you'll understand I had
hoped the value would be greater :wink:

FWIW, I believe I've presented one brute force iterative method. I
really don't look for you to expend the time to confirm your finding,
unless it intellectually intrigues you.

I don't expect you need my admiration in accurately discerning my
interest here, but you have it nonetheless.

- Harry

I am also impressed that you were able to divine Harry's intended
question. Another quick way to confirm your approximate answer is to
solve for P(0)=0.5 using Poisson distribution and we also get
ln(2)=0.693 cycles.

We are modelling a 4 cycle wide event as a point event when it
actually takes up over 10% of the 37.84 cycle interval, so I higly
doubt that 4 decimal accuracy will result. I suspect that the brute
force result won't be 37.84, but will be in the ballpark.

AJ

路路路

An approximate formula for M is:

M = C * ln(2)

This can be seen by noting that

[(C-1)/C]^M = {[(C-1)/C]^C}^(M/C) ~= e^(-M/C)
So, back to our original problem. We know the probability of
a drought of 4+ cycles is given by e^(-4). This gives the figure
of 54.6 royal cycles per "4+ RF drought cycle". So, if Harry's
original question is asking how long to play to have a 50%
chance of one or more "4+ RF drought", then I think the answer
is given by:

54.6 * ln(2) = 37.84 RF cycles.

In order to be sure, I'd have to do a brute force solution. I think
I know how to set that up, but I don't have time right now to
describe that method.

[Steve goes on to derive the desired equation] ...

He continues with:
> So, back to our original problem. We know the probability of
> a drought of 4+ cycles is given by e^(-4). This gives the figure
> of 54.6 royal cycles per "4+ RF drought cycle". So, if Harry's
> original question is asking how long to play to have a 50%
> chance of one or more "4+ RF drought", then I think the answer
> is given by:
>
> 54.6 * ln(2) = 37.84 RF cycles.
>
> In order to be sure, I'd have to do a brute force solution. I think
> I know how to set that up, but I don't have time right now to
> describe that method.

Hmmm, approx 1.5 mm hands suggests that I have a 50/50 expection of
another such drought (or worse) within 6 years down the road at my
somewhat casual play frequency. Your answer satisfies my expectation
that it would fall within 54.6 cycles, but you'll understand I had
hoped the value would be greater :wink:

FWIW, I believe I've presented one brute force iterative method. I
really don't look for you to expend the time to confirm your finding,
unless it intellectually intrigues you.

Actually, it does. I think your question has all the ingredients for a
delicious puzzle -- it can be stated clearly in a single sentence, but
the exact solution has some tricky pitfalls. There may also be other
related questions that lead to different answers as well.

I don't expect you need my admiration in accurately discerning my
interest here, but you have it nonetheless.

Thanks for the kind words (as always).

--Steve

路路路

On Sunday 13 August 2006 4:38 pm, Harry Porter wrote:

I think you are probably right, that this will turn out to be only ballpark
accuracy. On the other hand, each specific drought can be associated
with the royal that preceeds it, so I wonder if that and the fact that the
event is extremely rare might be sufficient to allow the same math to
apply. I really don't know, and that is why I'm interested in the question.

路路路

On Sunday 13 August 2006 6:43 pm, AJ wrote:

I am also impressed that you were able to divine Harry's intended
question. Another quick way to confirm your approximate answer is to
solve for P(0)=0.5 using Poisson distribution and we also get
ln(2)=0.693 cycles.

We are modelling a 4 cycle wide event as a point event when it
actually takes up over 10% of the 37.84 cycle interval, so I higly
doubt that 4 decimal accuracy will result. I suspect that the brute
force result won't be 37.84, but will be in the ballpark.