The innovation discussed
What it takes, in general, to cultivate friendships, in terms of “work” and time.
What YOU can do with this innovation
- Set “fair” expectations for friendships, current, past or future.
- Set rough goals for developing friendships, current and future.
The videos and content in Week 2 of the Science of Well-being course mostly focused on dispelling misconceptions we have about happiness. Professor Laurie Santos talked a lot about, and referenced studies to back her point, how a lot of things we perceive will make us happy, or sad should we not get it, don’t have nearly the impact we think they have. That’s because our intuition for predicting happiness is terrible! Professor Santos didn’t frame it in the following way, but it seemed to me our intuition for what would make us happy is very much based in the amygdala that’s the emotional centre, and reptilian part, of our brain that’s old, more animal-like and limited. Emotional intelligence, as a concept, is the ability to control this amygdata with the rest, and more rational part, of the brain, the part that knows waiting 20 minutes for 2 marshmallows instead of taking 1 now will bring you greater benefits when you are as young as 4 years old. That was the key to the Stanford Marshmallow Experiment that showed having delayed gratification as a trait in a 4 year old who first starts to think, is a better predictor of success in life compared to any other tests like SAT scores, education attainment, BMI, etc. That animal instinct suggesting what might make us happy is a very simple and basic form of processing that gets predicting happiness, and especially lasting happiness, all wrong.
I just finished recreating a Tableau “viz” that is a series of online, interactive dashboards with weather information for eight places in Nova Scotia from the past 100 years (1917-2016):
- Halifax Airport
They are on the Tableau Public site under my profile listing all my vizzes so far. Not many but the start of something good!
I also have dedicated weather vizzes for:
from reasonably good data sets that existed so I didn’t have to kill myself getting all the data from nearby weather stations and cobbling them all together! I had over 1600 files for those 8 places! Well, Halifax didn’t have a great data set but since so many Nova Scotians live in the area, including me, I didn’t want to leave them out.