What is the Probability of an Earthquake Occurring During Positive Tidal Stress?

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Discussion Overview

The discussion revolves around the probability of earthquakes occurring during periods of positive tidal stress, with participants exploring the implications of calculated probabilities based on observed tidal stress data. The conversation includes questions about the interpretation of these probabilities and their application to specific time intervals.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant calculated the probability of positive tidal stress as 0.45 and negative as 0.55, questioning if this implies a 0.45 chance of an earthquake occurring during positive stress.
  • Another participant requested clarification on the meaning of the probability of an earthquake occurring within a specific hour of positive stress.
  • A participant presented data showing that for a specific time frame, the probability of an earthquake during positive stress was 0.4 and during negative stress was 0.6, questioning if this means the probability of an earthquake occurring at the exact tidal maximum is 0.4.
  • One participant calculated the probability of an earthquake occurring at a specific hour given equal selection probability, suggesting that the probabilities remain consistent when considering positive and negative stress conditions.
  • A participant inquired whether it is valid to assume that 400 earthquakes occurred during the hour of positive stress and 600 during negative stress based on the given probabilities.
  • Another participant cautioned that observed frequencies and estimated probabilities are not equivalent unless the data used to estimate probabilities is the same as the observed data.
  • A follow-up question was raised about the implications if the 1000 recorded events were a sample from the population used to estimate the probabilities.
  • One participant noted that if the probability of positive stress was estimated from the sample, it would imply exactly 400 hours of positive stress and 600 hours of negative stress.

Areas of Agreement / Disagreement

Participants express differing views on the interpretation of probabilities and their application to specific events, indicating that the discussion remains unresolved with multiple competing perspectives.

Contextual Notes

Participants highlight limitations in assuming direct correlations between observed frequencies and estimated probabilities, emphasizing the need for clarity on the data sources used for probability calculations.

sthoriginal
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hi

I'm a physician and really need help from somebody who is good at probability. I calculated time series of tidal stresses. It turned out that the probability of having positive tidal stress is 0.45 and negative - 0.55 (I counted up number of hours when the stress was positive/negative and divided by the total number of hours). Usually you would expect to have 0.5 for positive stress and 0.5 for negative. So now, if we assume that an earthquake occurs at random, does it mean that there is 0.45 chance that it happens when the stress is positive? if yes, what is the probability that this earthquake occurs within some one particular hour when the stress is positive (e.g. within one hour centred on a max tidal stress)? Is it also 0.45?

I'd be really grateful if somebody can help me with it. Thanks a lot
 
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sthoriginal said:
what is the probability that this earthquake occurs within some one particular hour when the stress is positive (e.g. within one hour centred on a max tidal stress)?

The meaning of that question isn't clear. I suggest you give an example of your question using a table of data or a graph.
 
thanks for your replay. please have a look at the image file i attached. you can see that for 4 h the tidal stress was positive and for 6h negative. So the probability of an earthquake happening when the stress was positive was 0.4 and when the stress was negative - 0.6. does it mean that the probability of the earthquake randomly happened at the exact tidal maximum (red on a pic) is 0.4 and tidal min - 0.6)?
 

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The probability of an earthquake happening exactly at hour 2 is 1/10 if the hour is selected with equal probability from the hours 1,2...10.

If you analyze this to introduce the conditions of positive and negative stress, you get the same answer.

pr( quake happens at hr = 2) = pr( quake happens at hr of positive stress) pr(quake happens at hr = 2 given hr has positive stress) = (4/10) ( 1/4) = 1/10.
 
What if we only know that the probability that an earthquake occurs when stress is positive is 0.4 and 0.6 when stress is negative and we have 1000 recorded during 1 h when the stress was positive and during one hour when stress was negative. can we assume then (using the probability values) that 400 events happened during the hour of the positive stress and 600 when the stress was negative? thanks again for your effort!
 
sthoriginal said:
What if we only know that the probability that an earthquake occurs when stress is positive is 0.4 and 0.6 when stress is negative and we have 1000 recorded during 1 h when the stress was positive and during one hour when stress was negative. can we assume then (using the probability values) that 400 events happened during the hour of the positive stress and 600 when the stress was negative? thanks again for your effort!

You can't assume that unless the 1000 records were the data used to estimate the probability values. The probability of an event and the observed frequency of an event in a given experiment and not the same thing.

For example, a typical sort of textbook question is "If a fair coin is thrown 10 times, what is the probability of 3 heads?". An outcome of 3 heads is a fraction of 3/10. It is a possible outcome of an experiment where the coin has a probability of 1/2 of landing heads on each toss.
 
what if these 1000 events are a sample taken from population that was used to estimate the probability 0.4 to 0.6?
 
If the probability of a randomly selected hr. having positive stress was estimated from the sample in the straightforward way then the sample had exactly 400 hours with positive stress and 600 with negative stress.
 
thank you very much for all your comments
 

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