Larry Foley and Anthony TW Tan

Larry Foley and Anthony TW Tan
Larry Foley and Mangocharlie

Tuesday 27 November 2012

The Selfish Gene -Richard Dawkins

The Selfish Gene -Richard Dawkins


Prediction in a complex world is a chancy business. Every decision that a survival machine takes is a gamble, and it is the business of genes to program brains in advance so that on average they take decisions that pay off. The currency used in the casino of evolution is survival, strictly gene survival, but for many purposes individual survival is a reasonable approximation. If you go down to the water-hole to drink, you increase your risk of being eaten by predators who make their living lurking for prey by water-holes. If you do not go down to the water-hole you will eventually die of thirst. There are risks whichever way you turn, and you must take the decision that maximizes the long-term survival chances of your genes. Perhaps the best policy is to postpone drinking until you are very thirsty, then go and have one good long drink to last you a long time. That way you reduce the number of separate visits to the water-hole, but you have to spend a long time with your head down when you finally do drink. Alternatively the best gamble might be to drink little and often, snatching quick gulps of water while running past the water-hole. Which is the best gambling strategy depends on all sorts of complex things, not least the hunting habit of the predators, which itself is evolved to be maximally efficient from their point of view. Some form of weighing up of the odds has to be done. But of course we do not have to think of the animals as making the calculations consciously. All we have to believe is that those individuals whose genes build brains in such a way that they tend to gamble correctly are as a direct result more likely to survive, and therefore to propagate those same genes.


We can carry the metaphor of gambling a little further. A gambler must think of three main quantities, stake, odds, and prize. If the prize is very large, a gambler is prepared to risk a big stake. A gambler who risks his all on a single throw stands to gain a great deal. He also stands to lose a great deal, but on average high-stake gamblers are no better and no worse off than other players who play for low winnings with low stakes. An analogous comparison is that between speculative and safe investors on the stock market. In some ways the stock market is a better analogy than a casino, because casinos are deliberately rigged in the bank's favour (which means, strictly, that high-stake players will on average end up poorer than low-stake players; and low-stake players poorer than those who do not gamble at all. But this is for a reason not germane to our discussion). Ignoring this, both high-stake play and low-stake play seem reasonable. Are there animal gamblers who play for high stakes, and others with a more conservative game?

Wednesday 21 November 2012

The Godfather of handicappers: Pittsburg Phil changed the game forever - By Ryan Goldberg


The Godfather of handicappers: Pittsburg Phil changed the game forever - By Ryan Goldberg


One of history’s greatest horseplayers, George E. Smith, better known as “Pittsburg Phil,” was collared in the paddock one day in the 1890s by a young Jacob Ruppert, then a businessman and Thoroughbred owner, later the owner of the New York Yankees. Ruppert needled him about the “easy life you lead. Just a few hours of pleasant work every afternoon out in the open air, and getting rich.”


Phil asked Ruppert why he only came to the races on Saturday or when a horse of his was running.


Because I have my business to handle, Ruppert answered.


“You don’t think, then,” Phil persisted, “that if a merchant only gave four or five hours a day to his business, he would be successful in it.”


“He might not last a year,” Ruppert said.


“Neither would I,” Phil said, “in the business of betting.”


Phil often said the reason most bettors lose is their unwillingness to put in the time. He once observed, “Playing the races appears to be the one business in which men believe they can succeed without special study, special talent, or special exertion.”


Shortly before he died, in 1905, of tuberculosis at age 43, Phil offered this counsel to a New York turf writer named Edward Cole. Cole was the only writer to whom Phil confided his methods. Three years later Cole published that wisdom in a book called “Racing Maxims and Methods of Pittsburg Phil.” The book went out of print for decades but found a second life, importantly, after it was reprinted in the 1960s.


Pittsburg Phil’s book provided a handicapping blueprint framed by anecdote and aphorism. Matching this style, the modern volumes of Tom Ainslie, Andrew Beyer, Steve Davidowitz, and others followed Phil’s original contribution. Seen this way, Phil was the first modern handicapper. He perfected the art of picking winners, and a century after his death his maxims and methods remain instructive, in some cases timeless.


Phil approached the game not only logically but philosophically. The lessons may sound like common sense, but only because they are now accepted handicapping wisdom:


A good jockey, a good horse, a good bet.


You cannot be a successful horse player if you are going to get the worst of the price all the time.


Watch all the horses racing closely.


Know when to put a good bet down and when not to. Don’t temper your bet to the price.


Phil was alone among the spectacular bettors of his time – a headline-grabbing era of high-rollers, sporting owners, and larger-than-life match races – in that he never went broke or lost his nerve betting ungodly sums of money. His scores put a dozen or more bookmakers out of business. When he died his estate came to almost $2 million, a sizable fortune in those days. Almost all of it came from playing the horses.


There can be no great success in betting the races without great commitment, hard work, due diligence, discipline, and realization of the "right type of thinking". It is our attitude, beliefs, and the best way to do anything ourselves is to learn something about it first.

Without knowledge of complex it is insane for us to embark on it. Everyone is an athlete. The only difference is that some of us are in training and some are not. Do think about it!

Prior embarking on this game we must first have the sense of what an athlete or an athlete in motion should look like and behave like. If we never watched or played sports in our life it might be difficult. Our mind at least notice the great athletes and the injured one and we should have a good look and see who is sickly. There is something to check for before we think we have found a great athlete whether or not that are actually physically talented or it is a flaw.



In all of horse racing there is only one disputable truth. That is the outcome of every race is uncertain and could never have been anticipated.



We are not being forced to be someone audience to their opinion. listening to someone opinion means that we have to decide or change our opinion, it is eithrt we will do something great or they are sincerely wrong.



The odds are complied by mere human beings and can be affected by weight of money from like minded individuals. Never let a price affect our selections process as we have already decided it is the winner. Don't let the price bother us. Just choose the horse we think will do the business. Prices don't really count. After all the horse does not know what price he has been offered at.



It is first hand info that we heard directly ourselves or was it the majority of it from a friend of a friend.



Genuine information is very rare as a rocking horse manure.



Take our time don't rush things by trying to win a lot of cash in a short space of time. We need a lot of luck to win a quick buck.



Whatever one uses, it is how data is interpreted.



We can make money on just about anything, as long as we correctly interpret the right information.



The horse conditions has more to do with winning or losing a race than the weight he carries. A horse in poor condition cannot beat one of his class. A high class horse cannot win a race with feather on his back if he is not in condition.



Fast and fit horses always win.


The unknown factors that can influence the outcome of the race are the form of the horse on the day of the race and the luck in running during the race. All sportsmen know the importance of the form on the day, if the sportsmen can have an off-day, so can the horse. We can't foresee the factor of luck during the race, so we can only trust that the jockey will do his best, although the run-style and effect of the draw can be very significant.


Handicapping is an a challenge. Betting is an art and Money Management is a chore.

There are no holy grail of finding a winner and will never be one, none whatsoever but there are simply one or two of many possible tools that can be used in conjunction with others. This game is a game of chance and it can only be well figured out to a certain extent. IMHO it is only through serious critical thinking, hard work, due diligence and discipline combine with patience and consistency. And through logic, observation and evidence we can win and stay ahead.

Tuesday 20 November 2012

Selfish Gene Theory

Selfish Gene Theory

The modern refinement to Darwin's Theory of Evolution. All living creatures are made up of DNA segments which compete with segments from other creature's DNA and cause evolution through survival of the fittest.

A far better explanation of Selfish Gene Theory can be found at www.world-of-dawkins.com.

Very broadly:

Every creature, in the long-run, acts to maximize the number of its descendants. Any creature which does not act this way will eventually be out-bred by those who do. While a creature may have enough for its own needs the number of descendants it can have is bounded only by the resources around it. Hence creatures are generally insatiable.

This may seem wrong for humans, who have free will and are not mere programmable automaton, but in fact humans make logical decisions to satisfy their emotions, and human emotions are as murky and as illogical as any of those found in their animal counterparts.

Many of Charles Darwin's thoughts and opinions were strongly influenced by religion, and also the lack of understanding of DNA molecules, and of the process of information replication. We think of Darwin as being the creator of modern evolutionary theory, but in fact in retrospect he was confused about the subject, and a fuller understanding came much later, with the recognition of work by Gregor Mendel, and James Watson and Francis Crick's elucidation of the DNA molecule. Darwin was simply the first to publish suggestions that evolution occurred by a process of survival of the fittest.

The purpose of evolution is not, as Darwin suggested, survival of the species, it is simply the survival of the information in the genes of the individual. The individual is almost irrelevant to the genes - they are useful containers of the genetic code, but are in the final analysis expendable, and can be cast away if doing so can cause a greater reproduction elsewhere.

Life and evolution is pattern reproducing for no other reason than this: patterns which are good at reproducing tend to reproduce themselves - other patterns do not. The behavior we see in living things is simply behavior which has a history of causing replicating the patterns. The genetic code dictates behavior, and behavior changes the success of the replication process. The genetic codes which cause behavior which causes a more replication of the pattern becomes more prevalent.

This is what we call survival of the fittest. We talk about purpose of reproduction or the purpose of evolution because it helps to explain behavior and to focus on the process, but in fact it has no more purpose than a group of random numbers. We might say that evolution has created leaves which are green so that they can photo-synthesize, but in fact the process of evolution has merely selected for DNA patterns which generate green leaves because they were better at reproducing themselves than other forms of DNA.

We are used to things moving in a certain direction because they have a purpose - a wild animal goes hunting because it is hungry, for the purpose of finding food. Evolution too appears directed. Animals develop fur for the purpose of keeping warm and so on, but this does not mean that there truly a purpose behind it - just a mechanism which makes it happen.

Selfish Gene Theory regards the visible organism (the cat, human, flower, amoeba or whatever) as the host. It is like a big lumbering robot whose purpose is to replicate the genes it carries in its cells.

This is the essence of selfish gene theory. All common characteristics of living things have their roots in this phenomenon, including humans.

Tuesday 13 November 2012

Participants at http://www.kranjiracing.com between 01/01/10 and 11/12/12

$urewin abaji01 abangangah abdul razak abdul ra Ahmad Jailani Ahmad Sobrie ahmad syamin ajutz alex lee AlexNAlice alim67 allan94 amysearch Andrew K andrewtoh Andy Koh andy18602 andytoh angchoonhuat angtani anntan Arexevan Arkelite Ashley Danani atwc azizul hamid azman balaguru Ballbreaker benjimin Bernice betterloosenup Biel Deyanker big bklbkl bob shah bobby BobChoo Bon Fremen bow13 bradley Bute carrierman cassvalue cedric cfc0306 chandresi charisma cheah Chin chuck CK Guo colcath crazyjunior69 Crytical Thinker D LO Daniel Choong daniel peh dannycheong dannystar dave0791 David Bizzaca david66 david7300 davidliew188 Dawkins DerrickT Dez88 dingshen Dominic donnyeo Doriemus dw lake Eddy Tan einhin79 epsom eric cantona Ernie Evogals Fandi fen fire house fish_monger gggoooo glenn gmcum Graeme Carey grot20 Grunter Guan Lee gunner2692 HabitualLinestepper hammo hann happystar Harp Helicraze HorseKing HorseNoRun HUNG HOU CHUAN Hussin ian paice ice-cream icemafia icon imran innertalk Ipanema ipeyn82 isaac69 ivan jackal08 Jackson Li Jado jalal japie Jason Jason1 jasontan jefferson jeffrey jie007 Jim jimmylim jjwhrde Joe Kan Johnnychew Joshbeer jsgherza Justice Tan Justin Wong kalai kam kampgk ken yoong kenchin kentfon kgcheo Kgcheo01 khew kib kingsan KKLim kmwong Knowitall kokleong15 Kokomo kranji KS kumaresan lai Larry Foley lee geok hu lee yung hin leo9871 Li Li Ryan linchuankan Linda Wong liu rui lin liyan loke3588 lokewai lolok longtze longtzee lookchat Lulu lyc123 mangocharlie mani manlybucko Mardi G. matt57 maz mehkfr meng Mick Carthy mick1 mirrors34 mj2504 mozzy Mr. Stratum musedie b. johari Namax Nelson Nev Kelly newcomer Ng Sing Min nicolas normancook oliveiroalexander ong toon kam onnie10 ozzydee paksu patrick g paul19 pclee441 percival Peter Davis Philip Ho pikapika ping pootoosamy PotLuck pprofessor pradeep gopinathan Punters Pal qistina69 raimi ray raymond3511 raymondchen redfox richard kew richie Ricky Chai Robpayback Roscoe row Ruds russ Rusty ruysd saleh nasiha sam ng sam4bet sam9881 samloh satay sayed sdye Sean Palmer see wei tai sgjb1 shakir Simon Hicks sj skchan sodowd sporeboy stanley steven sng sthyslnyahoocom sulaiman-mohd suresh Tan Boon Hin tan leng hock Tan Soon Hoe tancheeseng tarikking teck beng thai chee hoong The Oracle thkhong tiong trackwatcher888 tracltalk tuanseng11@gmail.com U1WhatBlueBird vandy Vernon vietong vijay1965 vince vincent ang vincent ow White_horse Wian winwin witmus wwtten yeohocksoon ymchia yudi Yuva zackie zee zy123

Participants at http://www.kranjiracing.com between 01/01/10 and 11/12/12

$urewin abaji01 abangangah abdul razak abdul ra Ahmad Jailani Ahmad Sobrie ahmad syamin Aidan Doyle ajutz Albert Ang alex lee AlexNAlice alim67 allan94 amysearch Andrew K andrewtoh Andy Koh andy18602 andytoh angchoonhuat angtani anntan Anthony Jang Arexevan Arkelite arun Ashley Danani askh atwc azharhana azizul hamid azman balaguru Ballbreaker benjimin Bernice betterloosenup Biel Deyanker big bklbkl bob shah Bob Tan CC bobby BobChoo Bon Fremen bow13 bradley Bute carrierman cassvalue ceacha cedric cfc0306 chandresi charisma cheah Chin chris chen chuck CK Guo cklee colcath crazyjunior69 Crytical Thinker cullenm D LO Daniel Choong dannycheong dannystar dave0791 David Bizzaca david66 david7300 davidliew188 Dawkins dcllwallemcomsg Derek Loke DerrickT Dez88 dingshen dink Dominic Don Ng donnyeo Doriemus dw lake Eddy Tan einhin79 epsom eric cantona Ernie Evogals fahim malik faizal07 Fandi fire house fish_monger gcschmidt Geezer1 Geraldine gggoooo giove glenn glenob gmcum Gracia Graeme Carey grot20 Grunter Guan Lee gunner2692 HabitualLinestepper haideral halani hammo hann happystar Harp Helicraze hengmoo HorseKing HorseNoRun hua HUNG HOU CHUAN Hussin ian paice ice_berg71 ice-cream icemafia icon imran innertalk Ipanema ipeyn82 isaac69 ivan jackal08 Jackson Li Jado jalal japie Jason Jason1 jasontan jayderacingworld jbmario jefferson jeffrey jetLee jie007 Jim jimimary jimmylim jjwhrde Joe Kan Johnnychew johnsam Joshbeer jsgherza Justice Tan Justin Wong kalai kam kamal kamalo nisazo kampgk ken yoong kenchin kentfon kgcheo Kgcheo01 KGYOUNGLIVECOZA khew khoos kib kim kingsan KKLim kmwong Knowitall kokleong15 Kokomo kranji KS kumaresan kurt lai lam kee siong Larry Foley lee geok hu lee yung hin leo9871 Li Li Ryan linchuankan Linda Wong liu rui lin liyan loke3588 lokewai lolok longtze longtzee lookchat lordgert Love horses Lulu lyc123 Mal man_of_rank mangocharlie mani manlybucko Mardi G. mark lim matt57 maz mehkfr meng Mick Carthy mick1 mirrors34 mj2504 mohideen monicacabiggat mozzy Mr. Stratum muhammad bahar musedie b. johari Mzukri Namax nazrul Nelson Nev Kelly newcomer Ng Sing Min nicolas nieviv normancook notlimah oliveiroalexander ong toon kam onnie10 ozzydee paksu Patrick patrick g paul19 pclee441 percival Peter Davis Philip Ho pikapika ping pootoosamy PotLuck pprofessor pradeep gopinathan prassena Punters Pal qistina69 raimi Rain Lover Rajen.Chinaboo ray raymond3511 raymondchen redfox richard kew RichardNg richie Ricky Chai Robpayback roger Rohayah Roscoe row Royzad Rohani Ruds russ Rusty ruysd sabasaba saleh nasiha sam ng sam4bet sam9881 samloh satay sayed sdye Sean Palmer see wei tai selvarajan sgjb1 shakir Sharil Silverware Simon Hicks sj skchan sodowd sporeboy staider stanley steven sng sthyslnyahoocom sulaiman-mohd suresh Tan Boon Hin Tan Kim Heng tan leng hock Tan Soon Hoe tancheeseng tarikking teck beng testslh thai chee hoong The Oracle thkhong tiong trackwatcher888 tracltalk tuanseng11@gmail.com U1WhatBlueBird vandy Vernon vietong vijay1965 villagekid vince vincent ang vincent ow wan toto wanox White_horse Wian Will Racing williamyy13 winson tan winwin witmus wwtten xinnoc3ntx yam lebon yeohocksoon Yippyio ymchia yudi Yuva zackie zee zenal zulyafiq zy123