For those that were interested in the statistics, I have run a quick analysis based on John Brandon's article that Sue posted the link to. I can make no claim for how accurate his figures are (mistakes are easily made) as I didn't go to the source documents to spend the time to pull out the raw data myself, but there is no reason to suspect that he has any errors.
Above is John's data. After checking that the data met the required assumptions, a z-score, or standardised score, was calculated for each. The graph below shows the distribution of standard scores in a box plot. Interestingly, there were no extreme scores, or as Sunfish explained, no scores which were more than 2 or 3 standard deviations from the mean. Essentially it suggests that over roughly the last decade, no year has been significantly better or worse statistically than what would be expected by chance. Of course, this doesn't cover 2012 or 2013, and the 2011 data is estimated rather than actual, but it does show the trend of nothing better or worse than normally expected (Edit: please ignore the date error in the heading below, it should have been 2011)
What does this mean for us? Well, we can't make a judgement on what has happened over the last year without a significant amount of guesswork, and that is fraught with statistical danger. It appears that we aren't seeing anything particularly out of the ordinary, and there doesn't seem to be an upwards trend by any means. This of course is little comfort to those who have lost loved ones or friends, and there is still considerable room for improvement.
Consider another example drawn from John's graph - is there a significant difference between GA and RA-Aus deaths per 100k flying hours? While the sample size is small, and not all of the assumptions for analysis could be met, RA-Aus average fatality rates (4.6/100K hours) were significantly higher than GA fatality rates (2.02/100K hours; only training, private and business hours included), and the effect size was very large (Eta squared = .32). What this means is that there is only about a 1.5% probability that the differences in rates is due to chance.
Unfortunately, there is so much useful information that could be derived statistically if the raw data was available. Is the fatality rate due to differences in training? Can't answer that, because there is no data. Is it due to crash survivability (ie perhaps accidents are happening at close to comparable rates but are more survivable in a GA aircraft)? Is it differences in maintenance? There are so many questions that could be addressed if it wasn't for the lack of information.
If ever there was a time for RA-Aus to step up to the plate and start investigating accidents thoroughly (fatal or not), and collating real information which can be used to look for some of the causes, now is the time. If anyone is really keen, the statistical analyses are attached as a pdf for your reading pleasure.
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OUTPUT.pdf