## The Friday effect

A recent observation I’ve had after a bit of experimentation is on the effect Fridays have on our memory of the working week.

As we head into the weekend, a busy Friday filled with many meetings and constant activity remind us of a work week that left more to be desired – regardless of how the other four days went (!).

On the flip side, a calm Friday with enough space to reflect, problem-find, and feel on top of what we want to get done triggers the memory of a productive week – again, regardless of how the other four days went.

If that triggers any vague memories of “Thinking Fast and Slow” by Daniel Kahneman, you’re likely remembering the insight he shared on our propensity to remember only the peaks and ends of experiences. That insight has many applications – the effect of Fridays on our memory of the working week is a powerful example.

Note to self: Plan that Friday schedule very intentionally.

## Optimal Stopping

We were trying to sell an old car recently and had placed it in a used car parking lot. These lots charge a monthly rent. So, you are incentivized to sell your vehicle within the first month. The question for us, then, – when is the optimal time to sell? For example, do we hold out till the end of the month and wait for the best offer?

Luckily, mathematics has a solution for us. The optimal time to stop is at 37%. If you have a 100 candidates for your next role, the most optimal way to make a decision on the best candidate is to reject the first 37 and then pick the first of the next few that is better than the first 37. Essentially, the algorithm suggests we use the first 37 to calibrate.

Optimal stopping can be extended to time as well. In this case, we had 30 days to sell and 37% of 30 days is 11.1 days. By that logic, we would hold out for the first 11 days and then sell – assuming a half decent offer comes along. Our first offer came after 14 days and we sold for a price that was eventually slightly lesser than we’d planned for. But, we had no regrets because math told us that we’d made the optimal decision.

Algorithms like optimal stopping are likely the future of psychology and behavioral economics. Optimal stopping can be applied to choosing a restaurant, a spouse, and while buying a house. As we learn about our fallibility in making decisions, we can use algorithms like this one to get better at making decisions.

(H/T: Algorithms to Live By – Brian Christian and Tom Griffiths)

## Default setting

There’s plenty of great research that shows that our actions are heavily biased by the default option. Given how important defaults are to our decision making, every once a while, it is helpful to ask ourselves – what is our default setting?

For instance, we can choose to:

– Trust or to doubt.

– Take responsibility or make excuses.

– Read a non-fiction book or scroll further down our Facebook feed.

– Ask the hard question or stay silent.

– Acknowledge mistakes and learn from them or pretend they didn’t happen.

– Observe or judge.

– Save or spend.

– Respond with fantastic attitude or be defensive and prickly.

– Love or hate.

– Exercise or watch TV.

– Care or be ambivalent.

Whatever the decision, our actions are likely to follow our default setting.

It is on us to choose wisely.