I have just finished a book which describes the possible ways in which the universe will end, which is, when you think about it, rather final.

It’s a book I bought for my son who wants to study physics at university and I decided to read it just to get some understanding of what on earth he’s talking about. In it I learnt that there are a number of ways in which the universe could come to extinction, these are, but not limited to, the Big Crunch, Heat Death, the Big Rip, Bounce and my particular favourite Vacuum Decay. It’s not something we need to worry about just yet as its more than likely that it will take over 10100 years. Although there is an astronomically low possibility that Vacuum decay could happen at any moment. I feel that knowledge rather keeps me on my toes.

All of these possible scenarios are however just theories, but with the upcoming telescope at the Vera C. Rubin Observatory in Chile it may just provide a few more answers. It is an 8.4 metre telescope which will take images of a few million supernovae and 10 billion galaxies and in doing so generate an enormous amount of data.

Because data is the key to learning more about our cosmos. Data allows you to look at things in a way you wouldn’t have seen before. Patterns emerge from correlations and understanding can come from digging down into the analysis.

Our Correlated Component Regression analysis was originally designed for analysing data with too many highly correlated predictors and too few observations, an increasingly typical problem in the survey research business.

It is a revolutionary method in predictive modelling, one which we widely use in our consultancy work and holds the key to understanding even for small sample sets of data.
Do get in touch if you would like to know more about this ground breaking methodology, particularly as there is the minutest chance that the universe could possibly end at any moment.