Probability of a coincidence - question

In summary, the conversation discusses the math behind a supposed telepathy incident, in which someone receives a phone call from a person they were just thinking about. The example uses a decision tree to analyze the probability of this happening. However, the final answer provided by the author (0.52) differs from the answer calculated using the decision tree (0.38). The conversation ends with a request to clarify where the error may be in the analysis.
  • #1
musicgold
304
19
Hi,

I have been reading the book "200% of Nothing" by A K Dewdney, which explains various math abuses experienced in the real life. One of the examples explains the math behind a so called telepathy incidence; a coincidence in which, one gets the phone call from the very person whom she was thinking about just a minute ago. I am not able to get the final answer provided by the author. Can you please check my approach to the problem?

The example goes something like this: Suppose, for example, that you know 200 people (family, friends and colleagues) well enough to find yourself thinking about each of them occasionally. Suppose that you think about 10 of those people per day and two of them call you each day on average. The calls could come at any time during those 16 waking hours. Now, when the phone rings, the probability of one of those 10 people, about whom you thought about during the day has called, is 10/200 or 0.05. Now, the probability that the call is from someone you thought of in the previous minute is 1/960 or 0.0001, where 960 is the number of minutes in 16 waking hours. Although the chances of having such a call on a particular day are very small, if we consider a period of 10 years, i.e. 3650 days, the probability over this period climbs to 0.52 (the final answer.)

Now, this is how I approached the problem: I used a decision tree in my analysis. Let us say there are 10 minutes, spread evenly over the 960 minute period, during which I think of each of the 10 persons. Now the probability of receiving a call during any of those 10 minutes is 1/960. I further assume that I have a 2 line phone, which means I can receive two calls simultaneously, therefore, the probability of receiving a call during one of those 10 minutes is 1/960 + 1/960 = 2/960. Once I have received a call, within those 10 minutes, the probability that call being from one of those 10 persons of that day is 10/200 or 0.05. If the call is from one of those 10 people, then the probability that the call is from that very person whom I was thinking about earlier is 1/10 or 0.1, thus, the probability of receiving a call from the correct person is 2/960 x 10/200 x 1/10 or 0.00001. Since there are 10 such minutes during a day, the total probability per day is 0.0001. The probability of such an incident over a 10 year period is 0.0001 x 365 x 10 = 0.38 (my answer.)

I am not sure how the author got his answer, 0.52. Can you please check where I am going wrong?

Thanks,

MG.
 
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  • #2
I don't know where the author's answer came from. I understand your process, and also find that the expected number of calls per 10 years is 0.38 based on those assumptions. (The probability of getting a call like that is somewhat lower, 31.7%, because some people will get several such calls.)

The assumptions that you think of your friends for only an instant (leading to 1/960) and with equal probability both make the probability lower than I would have expected. If you think of each of the 10 friends for 1 minute each, that doubles the expected number of such calls/decade to 0.76; if you have some 'better friends' about whom you think more frequently and who are more likely to call, the expected number also rises.
 
  • #3
CRGreathouse,

Thanks a lot for that.

The probability of getting a call like that is somewhat lower, 31.7%, because some people will get several such calls.
I don't understand what you mean by this quote.
 
  • #4
If you roll three (normal 6-sided) dice, the average number of 1s is 0.5. If 100 people roll three dice each, the average expected number of 1s for the whole group is 100 * 0.5 = 50.

But some people will get more than one of those 50, leaving more than half the people without any 1s.

In particular, (5/6)^3 * 100 ≈ 58 people, on average, won't get any 1s, while 3*(1/6)^2(5/6)*100 ≈ 7 people will get two 1s and 3*(1/6)*(5/6)^2*10 ≈ 35 people will get exactly one.
 
  • #5
musicgold said:
Hi,

I have been reading the book "200% of Nothing" by A K Dewdney, which explains various math abuses experienced in the real life. One of the examples explains the math behind a so called telepathy incidence; a coincidence in which, one gets the phone call from the very person whom she was thinking about just a minute ago. I am not able to get the final answer provided by the author. Can you please check my approach to the problem?

The example goes something like this: Suppose, for example, that you know 200 people (family, friends and colleagues) well enough to find yourself thinking about each of them occasionally. Suppose that you think about 10 of those people per day and two of them call you each day on average. The calls could come at any time during those 16 waking hours. Now, when the phone rings, the probability of one of those 10 people, about whom you thought about during the day has called, is 10/200 or 0.05. Now, the probability that the call is from someone you thought of in the previous minute is 1/960 or 0.0001, where 960 is the number of minutes in 16 waking hours. Although the chances of having such a call on a particular day are very small, if we consider a period of 10 years, i.e. 3650 days, the probability over this period climbs to 0.52 (the final answer.)


I am not sure how the author got his answer, 0.52. Can you please check where I am going wrong?

Thanks,

MG.

The population is 200.
The persons thought of are 10 per day.
The calls are 2 per day.
When considering the thought of part, ask yourself, how many ways are there to form a unique set of 10 persons.
When considering the calls, ask yourself, how many ways are there to form a unique set of 2 persons.
Just figure the probability for a day, which will not change over
time. The answer is much smaller than that given.
 

1. What is the definition of a coincidence?

A coincidence is an occurrence of two or more events or circumstances that are seemingly unrelated, but happen to coincide by chance.

2. How is the probability of a coincidence calculated?

The probability of a coincidence is calculated by multiplying the individual probabilities of each event occurring. For example, if event A has a probability of 0.5 and event B has a probability of 0.3, then the probability of both events occurring together is 0.5 x 0.3 = 0.15 or 15%.

3. What is the difference between a coincidence and a correlation?

A coincidence is a chance occurrence of events that appear to be related, while a correlation is a statistical measure of how strongly two variables are related. A coincidence does not necessarily indicate a causal relationship between the events, whereas a correlation implies a cause-effect relationship.

4. Can the probability of a coincidence be predicted?

The probability of a coincidence cannot be predicted with certainty because it is based on chance. However, it can be estimated by using mathematical formulas and statistical methods.

5. How do scientists determine if a coincidence is significant?

Scientists use statistical tests and measures, such as p-values, to determine if a coincidence is significant or just a random occurrence. If the p-value is below a certain threshold, typically 0.05, then the coincidence is considered to be statistically significant.

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