By Frank Piechoski

[This series of articles is adapted from a lecture presented at the NCGR 2010 Conference in Cambridge, Mass.]

Introduction

What can astrology tell us about the world of aviation?  Can one forecast when fatal aircraft incidents are more likely? What factors might one look for?  What data might one use?

There are many things to consider when examining this sort of material.  But after several years of thought, data gathering and testing there are some interesting results to be seen.

First, let’s consider the data.  After attempting to gather data from disparate sources for fatal aircraft incidents, databases of the National Transportation Safety Board was found online in Access format of every reported aircraft incident.  The Access databases are available at the NTSB site at http://www.ntsb.gov/avdata/Access/.

When this project was started, only databases from 1988 to 2008 where available.  To do this first phase of the research, only data from 1988 through 1998  and the year 2008 were used so there could be a second group of testable data for the future.  Also, converting the databases was a laborious process that mostly needed to be done by hand to get the data into a format that could be used in astrology programs.  After the final article in the series, I’ll give credit to those who assisted in data entry.

 Methodology

The NTSB databases were rather unwieldy to work with.  The data format changed over time.  There were many double entries.  Some records in the database were incomplete, corrupted, or inaccurate.  A process of cleaning took place where suspect entries were discard – before any charts were calculated.  Those missing times, or having a time of 0000 were discarded, as where those that didn’t have a specific departure place listed.

Data was then distributed to volunteers for data entry.  The volunteers were unaware of what sort of data they were entering – each set of data used mere an FAA code consisting of numbers and letters as unique identifiers, of which only the author had the original databases for as a concordance.  Data was entered into Solar Fire in batches of 50 to 200, depending on the data entry volunteer’s personal preference.

The Solar Fire data sets were then emailed back to the author for conversion into Jigsaw and AstroDatabank files. There were 3,831 aircraft incidents (the Experimental Group)  from NTSB database that have the attribute “Fatal” tested against a Control Group of 38,310 charts based on the data of the 3,831 research group, with data shuffled randomly.

For the radix charts, the departure date, time, and place of each individual flight was used.

At least 16 factors showed interesting results in the Experimental Group when tested against the Control Group.  We will consider them in Part II of this article.

 

(c) Copyright 2012 by Frank Piechoski, all rights reserved.