Fair enough. From a fans perspective though are those sports (F1 and Rugby Union excepted imo) any better than they were back in the day?
As for racing, modern medicine has surely contributed to horses being able to have longer careers than they would have had years ago.
"better" is a different measure though (as you say from a fans perspective). I think you could argue the spectacle has declined and that F1 in particular might benefit if teams were denied data and had rely on the old fashioned symbosis of driver - car - and mechnaics to diagnose and performance tune. Similarly, I'd accept that rugby has suffered for moedern defence alignments (again the product of data) personally I think the pitch needs to be made wider
If you were looking at it from trainers point of view, "winning", "placing" or improving the horse as the next best output is what they're concerned about. I have little doubt that a competant student armed with a stats package like SPSS could reasonably easily produce determinant coefficients based on multi variant correlations to decode a horse and supply that information so that trainer and jockey put it to better use. Indeed, I've done it myself with 4 horses now that I can think of to differing degrees, and each one was successful, albeit in two instances it was more of a case of providing a report about the horses prospects based on what the data was telling me (I was right on both occasions) albeit this was the owner/ manager who asked me to take a look. The sticking point on the other two occasions was a trainer who frankly wasn't versed in the finer aspects of quantitative data analysis. Again though we were vindicated and I think one of the horses concerned improved by about 25Ibs when it was finally asked to do something that it could, and put into races that allowed it to
"He looks good day today Jethro"
"Doesn't he just"
"I heard a cuckoo yesterday you know"
"Really? I think perhaps we ought to race at Ayr then"
If you think about it logically though, it's little wonder that trainers don't cotton on and adopt. In a lot of cases orthodoxy is handed down through familiies, or apprenticeships served in yards. Racing reproduces in its own traditional self image and is deeply conservative in its outlook. Outsiders with new ideas tend to be treated with suspicion (or accussed of cheating if the new innovative methods they bring to the sport makes them successful). The other issue is the education these people recieve. How many trainers go to university where they undertake a quantitative analysis module? Probably very few. That's not to say they're stupid. They simply drop out the system to pursue equine careers before they ever get exposed to sports analsyis. This obstacle will have improved in recent years however as younger trainer emerge who are schooled in the more scientific areas and vetenairy practise, but I wouldn't mind guessing that most of them aren't that much more advanced than Execl? Even the better ones will still leave a rump who are ... well .... pretty much clueless. A lot of trainers come through the jockey ranks and I think I'm right in saying that some survey picked jockeys out as being on the same level as footballers and boxers when it came to academic achievement (qualifications only are admittedly a snapshot rather than being a strong indicator). Again they tend to fall out of formal education and never get exposed to modern possibilities
Ultimately, just ask yourself this:
What is the likelihood that every other sport in the world is wrong in its adoption of data analysis to improve performance, and that horse racing is right?
A small time trainer I think could get an edge here if they were a little bit more broad minded and receptive to data analysis