Using Number Histories to Help Win the Lottery!

Winning the lottery is a dream shared by everyone who rolls up to the counter every week and lays down their favorite numbers, hoping feverishly that a major miracle will happen and those numbers will come up! Of course, with the odds of winning the major prize in the range of many millions to one, there is really no expectation of winning the jackpot, but it is still exciting to hit a few numbers and maybe pick up a few dollars.

Nobody - repeat NOBODY - can offer a system that can guarantee winning the lottery. The reason that lotteries are so popular is the perception that every entry has as much chance of winning as the entry that the person in front of just paid for, and the entry that the person behind is also going to wager. Because the numbers are drawn exactly the same way, under strict controls and supervision, there is never any question of bias and if your numbers do not come up, well, that's just fate crushing your dreams of extravagance and luxury once again!

However, rather than picking numbers randomly, there is a different approach to take. Because lotteries have been going for many years now, it is possible to get the histories of previous draws. These histories show which numbers have been drawn, and by analyzing this data it is possible to use maths & probability to select pools of numbers which are more likely to be drawn (or, conversely, more likely NOT to be drawn).

So, how can this be easily explained? Let's take an Einstein-inspired 'thought experiment' to present a relevant analogy that everyone can understand.

Instead of numbers, let's take a group of fifty people. Imagine that they are all in a room, and you are in a different room, unable to see them. Each person is numbered from one to fifty.

Now, someone comes up to you and says' Six of the people in the next room have a cold. If you can pick at least three of the people with a cold, you will win a prize. This prize increases as you correctly select more people, up to the full six, where you win a million dollars. '

Sound familiar? OK, without any further information, your chances of picking the six people who have (unfortunately!) Contracted a cold are astronomical. Your chances of just picking one of those is only two percent, let alone picking all six.

However, I have left something out here, something very important! You are, in fact, given a few bits of information about the people in the next room. This is summarized as follows:

• Ten people live in a desert
• Ten people live in the mountains
• Ten people are elderly
• Ten are children
• Three of the desert-dwellers recently visited the mountains
• Three of the elderly people and two of the children recently got drenched in a rainstorm
• None of the children live in the mountains

From this information, we can start to group the people into smaller pools who are more likely to have a cold. The elderly people who got drenched are more likely to have the cold than the children. The three desert-dwellers who visited the mountains are more likely to have a cold than the seven who did not. The five people who got drenched in the rainstorm may have an equal chance of having a cold, unless they live in the mountains, where those who live there may have higher immunity to infection than desert-dwellers, who are rarely exposed to the virus.

Whilst this is a bit of an 'out there' example, it is designed to introduce the importance of knowing the history (or 'attributes') of numbers before a given draw takes place. By analyzing these histories, we can start to create groups of numbers with a higher or lower likelihood of being drawn over any given period. The longer the history information we have, the more 'accurate' the projections can be.

Applying this information to future draws means that the entrant has at least used established mathematical & scientific principles to their entry. Whilst there are never any guarantees of winning, you can safely assume that the probability of those numbers being drawn is higher than other numbers.

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Source by Dave Hanson