How do you know that I have an accent did you put a microphone on my machine I could speak very bad english but with a very good accent: ok you guessed it my accent is also bad, you guessed it because the two is generally correlated statistically 
For the rest I intend to write a 5 page article on statistical use and abuse in Stock Market like I did write in the past a 5 page article on Chaos Theory and Stock Market (but it is a french article so you won't be able to read it).
For short there is two parts in statistical field: the descriptive part and the inferential part. The descriptive part is just sumarising datas it doesn't prove anything. Many of what I saw is just descriptive. And without any inferential study the authors jumped straight away to the conclusion so without any proof. Also for doing inferential studies the datas must be carefully prepared for example good sampling and partioning are essential and difficult to realise and it take also most part of the time (that's why I don't feel like beginning the study of moon effect
) that's why some claimed probability can be highly doubtful when there is no knowledge of such prepration.
To illustrate the danger of simplistic use of statistics let take the famous correlation coefficient. When its value is 0 simplistic thinking would be to conclude that there is no dependancy between the variables. Well as an obvious counterproof just calculate such a coefficient on a circle it will be 0 but obviously there is a dependancy relationship. You could think that it is not an error that professionals in stock market make. Well how many build a portfolio by looking at near 0 correlation between assets thinking that they will be immuned against risk because they think that there is no relation between these assets ? It is just this simplistic and dangerous thinking and that's why some funds just blow out when the relation they thought was inexistant then manifests.

For the rest I intend to write a 5 page article on statistical use and abuse in Stock Market like I did write in the past a 5 page article on Chaos Theory and Stock Market (but it is a french article so you won't be able to read it).
For short there is two parts in statistical field: the descriptive part and the inferential part. The descriptive part is just sumarising datas it doesn't prove anything. Many of what I saw is just descriptive. And without any inferential study the authors jumped straight away to the conclusion so without any proof. Also for doing inferential studies the datas must be carefully prepared for example good sampling and partioning are essential and difficult to realise and it take also most part of the time (that's why I don't feel like beginning the study of moon effect
) that's why some claimed probability can be highly doubtful when there is no knowledge of such prepration.To illustrate the danger of simplistic use of statistics let take the famous correlation coefficient. When its value is 0 simplistic thinking would be to conclude that there is no dependancy between the variables. Well as an obvious counterproof just calculate such a coefficient on a circle it will be 0 but obviously there is a dependancy relationship. You could think that it is not an error that professionals in stock market make. Well how many build a portfolio by looking at near 0 correlation between assets thinking that they will be immuned against risk because they think that there is no relation between these assets ? It is just this simplistic and dangerous thinking and that's why some funds just blow out when the relation they thought was inexistant then manifests.
Quote from freealways:
>>So if there is a serious statistical study between moon and stock market I would be more inclined to consider it as some beginning of a proof - if ever it is proved - but unfortunately until now all the statistical studies I saw have some indication of correlation but are not rigorously conducted enough... <<
and
>> as I said above a statistical correlation has never been a proof. Proof comes from the interpretation domain with logic reasoning and knowledge upon the statistical result not from statistic alone: statistics is just like a rule meter it doesn't prove by itself. <<
I don't have a clue what you are saying Harry. Must be your accent![]()
O.K. no joking now, please repeat the second paragraph but this time in more simple words.
For example what do you mean by "interpretation domain" and also "with logic reasoning" and also "and knowledge upon the statistical result".
Apart from this all, no-one can ever be 100% certain whether there is proof of anything as any kind of result can ALWAYS be a matter of co-incidence, no matter what number of results are available.
freealways
.