You're absolutely right, and I do use that approach too—but honestly, it only makes up maybe 2–3% of the overall methods I rely on. A bit later, I’ll lay out my system in more detail. It’s a very structured and comprehensive approach—at least, I like to think so. The idea is this: if you make the right choice at each step in a 20-30 step decision-making process, you could theoretically hit the jackpot.
But here’s the catch—it’s like walking through a minefield. One wrong move and... well, you won’t die, of course, but those two dollars? Gone. Straight to the lottery organizers or the next lucky winner, who probably won’t even know you existed.
That’s where the strategy gets interesting. If you send thousands, maybe tens of thousands of people across that same “minefield,” odds are someone will make it through. That’s why I’m currently developing an app that gives anyone the chance to navigate this field without making a single mistake and walk away with what they’ve earned. And the beauty of it? You can try again every single drawing.
Let me add a bit more context so you can appreciate the complexity of this challenge. If we only focus on the single-digit units in the white balls and ignore the tens, there are already 3,068 combinations made up entirely of 5 even or odd units. Expand to combinations with 1 or 4 even/odd units, and the number jumps to 15,490 for each. With 2 or 3 even/odd units, the count is 30,980 for each. Altogether, you’re looking at around 100,000 combinations just from this one parameter. Now, throw the tens into the mix, and the number of combinations skyrockets to the full 292 million. That’s why we need additional metrics to narrow down the possibilities—and such metrics do exist. With the computing power available today, tasks like this are solvable. The catch is you need an absolutely precise algorithm.
But here’s the tricky part: no AI is going to come up with such an algorithm on its own. Why? Because AI operates entirely within the framework of human-taught logic, and human logic often defaults to saying, “No, it’s impossible.” Ask ChatGPT if it’s feasible to create such a program, and it will likely tell you NO—because that’s how people have trained it to respond.
But there’s a different kind of person—people like us, I’d like to think—who step outside the rulebook. When that happens, breakthroughs become possible.