Tools for WN History Filter – Brief Recommendations
The WN History Filter is a tool for finding a set of tickets that includes the Jackpot winning one. The heart of the matter is to use the correct tools (lower and upper ranges) in a correct way to determine at most 11 different intervals for the next expected sum values. When the intervals are set correctly you should obtain reasonably small set of tickets out of the entire wheel of all possible combinations.
Starting Set
The starting set of tickets is limited only by the computer capabilities:
· There are no problems with 6/49 lotteries, the computer can handle the full list of combinations easily.
· In case of Keno lotteries the number of all possible combinations is usually huge (significantly exceeding computer’s capabilities – both storage and processing speed) There you can either filter wheels created from a restricted count of numbers or you can create a wheel from the whole pool of numbers while skipping every Nth combination.
Filter Nature
The filter evaluates the frequency of occurrence of individual numbers in the lottery history up to their 11th occurrence back in the history and it provides assessment of intervals between particular occurrences. Therefore the independent variable is the fixed occurrence while the time interval is a dependent variable in contrary to other filters where the time is independent. The time intervals between individual occurrences back in the lottery history will differ.
Why Just 11 Occurrences Back in the History
This value is chosen as a practical compromise resulting from the consideration of the lowest suitable value from the point of view of statistical significance (if appropriate) and the most suitable choice from the point of view of errors introduced in the estimation of ranges. Therefore this filter is difficult to apply in lotteries without sufficiently long history of winning numbers. Of course you can use several first occurrences only, however if this is the case your estimation must be extremely correct.
How to Determine the Ranges Correctly
The most frequently asked question is which ranges are to be determined, why just +/-10 ranges are to be used for all 11 columns. Naturally these ranges don’t have to be defined just in this way. To correctly understand what ranges are to be used it is necessary to keep in mind the following important principles:
· The combination you are looking for projects itself into the charts and tables in 11 different ways. Therefore there are 11 different points of view when making your estimates.
· The smaller the range size (the difference between upper range value and lower range value) the less tickets will pass the filter
· The ranges don’t have to have the same size for each column (i.e. the expected sum value).
· The difficulty of estimation is not equal for all columns; some of them may be easier to estimate than others.
· It’s better to make your estimates lower than the actual future sum value because having your estimates bigger than the actual value leads to more tickets left after filtering.
· If you estimate an increase for the next sum value you can expected that even a small variation in the upper range margin will lead to a large increase in the count of tickets that will pass the filter.
· It is safe to keep the lower range margin as low as possible as it won’t increase the count of filtered tickets that much. For example if the current sum value is X and you’re expecting a decrease in this column you can set your range estimates to e.g. X-5 to X-60. Even though the range is 55 which is much more than the usually recommended 20 (+10/-10) the amount of filtered tickets won’t change that much because most (approximately 85%) combinations will fall into range X-5 to X-20.
· In a way this filter acts as a tool providing alternative solutions because the filtered combinations can be antagonistic to a certain degree. You should keep this in mind when statistically analyzing the filtered combinations.
· It is suitable to filter package using “sure” estimates as a first step only. For example if you are fairly confident that the sum value will decrease in e.g. four columns, it may be useful to filter the combinations according to only these 4 columns first. Then you can use statistics and other tools (Best Tickets filter for example) to find the most frequent triplets and/or the 50 best tickets. This way you can get more accurate hints for further estimations.
· Applying too small ranges may filter out all combinations. In such a case there’s mostly no reason to change the lower range margin, try (minor) increase in the upper range margin instead.
We’re preparing more detailed recommendations and instructions that we’ll post either here and/or in our own discussion board.