Research Findings :  “ +/- 2 Theory “  ( 2/6/2021 )

This is a new attempt.

Employ Big Data Analysis concept, by applying different statistical and data-mining models and procedures over traditional Feng Shui theories and doctrines, conduct different kinds of study and analysis on correlation, hidden patterns, and insights, to prove Feng Shui is non-superstitious yet quite scientific.

Example: 

One of the research finding indicates that there are some specific combination of month, date, and time in a year (according to Apparent Solar Time), would be easier (or have a higher chance) to have abnormal unlucky cases or incidents. This finding not only matches the traditional fengshui theories and doctrines, but also passed the tests by statistics models such as regression, correlation, and analysis of variance (ANOVA).

For example we note that accidents do have its pattern in certain dates and times; besides health problems, money issues, relationship issues, and emotional problems are also shown patterns in certain dates and times, which may lead to suicidal cases. Since the above conclusion are drawn from numerous facts and cases, it should neither be treated as coincidence nor be ignored.

On one hand the above findings help to prove or verify certain traditional Feng Shui doctrines. However, it also assist to identify those doctrines that have weak or unstable cause-and-effect relationship, thus able to remove or disregard those “uncertain doctrines” and to detect areas that need further research and investigation.

Given the above, it is very helpful and reliable if we can remove those  “highly risky” dates and times when we conduct fengshui actions or good date/time selection. 

As the research is supported by over thousands of actual cases and has complied with statistical models’ requirement, it is indeed a concrete prove that fengshui contains its scientific facet and dimension that should  gain the respect and recognition.