Lets say we are trying to solve a bug or an issue. First we try to understand the problem, collect relevant data points, analyse, interpret and conclude. This is the standard research model that is used across domains, including life decisions.
I have written about looking at problems from a third lens before. Now we also have AI. We feed the available data, get an output based on the desires.
But what do you do when the data you need doesn’t exist yet at all?
No source. Too expensive to collect in terms of time or money. Or simply not happened yet.
This is where it gets messy and chaotic. We panic. Deadlines and anxiety take over us. And in that gap, we over interpret what little information we have. Confirmation bias kicks in. we use the available data points to suit the conclusion we already want. Not the exact outcome. Just the one that feels good and safe.
More data doesn’t always fix this. Neither do standardized frameworks or mental models that are available. Not everything bends to our variables and risk factors.
Sometimes, the only honest move is to do the analysis, make the call and release the outcome. Be it positive or negative.
Some things are beyond control. Call it butterfly effect, karma, cosmos, god or whatever.
Cheers!
Check out the previous posts: Precision
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