Every decision builds on past choices. The Decision Significance Formula
As I dive deeper into mathematics and machine learning, I've been fascinated by how we can apply these concepts to everyday life. Today, I want to share a simple formula I've developed to understand the impact of our decisions over time. I call it the Decision Significance Formula.
The Decision Significance Formula: S = C + (D1 + D2 + D3 + ...)
Where: S = Total Significance of your current big decision
C = Impact of your Current big decision
D1, D2, D3, etc. = Impacts of your past Decisions
What does this mean in real life? Let's break it down with two examples:
Positive Example
S = 8 + (5 + 3 + 4) = 20
This high positive significance (20) suggests you're well-prepared for success!
Negative Example:
S = -7 + (-5 - 4 - 3) = -19
This negative significance (-19) indicates high risk due to past poor decisions.
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But what do these numbers mean?
Why are these numbers important?
But what if you're stuck in a negative cycle? Here's how to break it:
Let's see how this works:
You're in debt due to overspending. Your new cycle might look like this:
New calculation: S = 5 + (-4 + 2 + 3 + 4 + 3 + 2) = 15
Your decision to take a financial course (C: +5) now has a higher positive impact due to your new foundation.
Key Takeaways:
In summary, no decision we make is done in isolation. It is affected by our previous decisions along with our current environment. By breaking this down into a formula, we can see how to apply math to our everyday life. The Decision Significance Formula (S = C + (D? + D? + D? + ...)) helps us understand that each choice we make is influenced by the cumulative impact of our past decisions and the immediate impact of our current choice.
This mathematical approach to decision-making allows us to: