Hi there
I've been trying to find a topic that I thought I may be able to contribute something of value to, to avoid being demoted to a Lurker.
I've been busy volunteering to my community allotment scheme for last 2 years, learning to do hot composting from scratch. But by simple design of experiments and reading and testing others research I evolved a method that produces compost (saves co2 escaping and cools the planet in our own miniscule way) for the growers to use. New potatoes double size of ones that didn't get compost feed and all that. New cu mtr piles reach 74C in about 4 days and shortened their composting time from 12 months to 5 or 6. Unfortunately they now love me and don't want me to leave. I was taught at Unilever to just solve their problems, train them in the new methods and move on. But I've negotiated (used the data - as we all do) 4 months off each year Dec to Apr 1st when they don't give me green waste to compost. Just shows what careful simple stats can do from knowing nothing?
So, I've recently got my adjusted RI data and own speed ratings uptodate and thought I'd run the simplest model of contrarian thinking. Good run, bad run, bet next time out. Market likes good form lto, so at least these qualifiers should be at 'good' odds. Equations sorted in excel, exported last 2 years (2yo and 3yo) data from access db into excel and ran it. 62234 records (about the last 2 years races - limit on number of rows in excel) produced 1638 qualifiers which at level stakes ISP odds produced a loss of 14 pts. I didn't know whether to laugh or cry. Cheered myself up by showing profit using tote dividends (mainly on longshots 50/1 etc).
But I always fall back on sound science, and realised that simple exercise was breaking Ashby's Law; only variety can aborb variety. E.g. soccer teams start the games with equal number of players. My simple play only used 2 variables; good run followed by bad run. (I've only been interested for the last 7 years or so, in finding cases where a horse is being gamed against the OH. As an intellectual exercise to keep my old brain from slowing up, I'm only interested in grade 5 and 6 2 & 3yo hcps).
So, I needed to pump more variety into my model to cope with the variety of stuff in horses running races. I've been testing some additional variables in that simple model.
The nearest I can get to the title of this thread is the sequence of stakes race, stakes race, hcp race; so thats good stks run, bad stks run, bet if hcp nto. That produced 50.65 pts profit. Most of these cases will be first time hcps but not all cases. Having started out specialising in 2yo races, that rang a rusty old bell; good deb run with bags of indicators for future improvement (like Frankel), drop in distance (instead of rise as pedigree suggests - so already evidence of gaming going on in only 2nd run of the horse?), switch from turf to aw on third run, get a hcp mark and then it improves many lbs then, or a few hcp runs later on turf depending on what the OH has given it.
A few other factors that make horse sense (energy. recovery time between races, etc via bioenergetics) have got the paper profits up to 400+. But biggest payoff of this playing has been to pick up more excel functions like AND/OR and simple baby steps in calcs to get exactly what I want to do. Last night I realised that I can now automate a lot more of my full predictive modelling method to the point where I may be able to run that in the time that composting, mole trapping, woodland management, fault finding in the treasury GDP effects of brexit - Mike's point in this stream about not mixing apples and oranges - we are going to be OK; allows.
The nearest books to my full 'predictive potential' method of handicapping are by Len Ragozin and Howard Sartin.
Apologies as usual for length of posting. Best wishes to all for 2020.