Notes on happiness

Krishna Kumar K
2 min readAug 21, 2024

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Links to videos and courses

Happiness ~ Flow (staying in the moment)

Happiness = Reality — Expectation

https://quotefancy.com/

Source: Tom Magliozzi

The Science of Well-Being — Yale (coursera link, summary)

How to be happier:

Rethink what “awesome stuff” is

  • invest in experiences over things

Thwart your hedonic adaptation

  • savour enjoyable moments; take a second to really be there and enjoy it
  • use negative visualisation (“what if I didn’t have this awesome thing?”)
  • think as if today was your last day to increase gratitude (esp. in terms of jobs)
  • practice gratitude
  • daily reset your reference points (i.e., what are you comparing your life/stuff to?)
  • interrupt consumption (take a break from a good movie or fun thing; it will make you appreciate coming back to it more — commercial breaks actually increase enjoyment of shows)

Things that actually make us happy”

  • signature strengths in a job > money
  • “flow” in a job > money
  • growth mindset > fixed mindset
  • practicing kindness
  • social connection (even when you think it will not make you happy!!!)
  • time affluence > money (value your [free] time more than money)
  • mindfulness via meditation exercise
  • good sleep

Implementation

  • use situational support (e.g., putting candy in a drawer instead of on your desk will make you less likely to eat it; set yourself up for success)
  • set specific goals practice goal implementation intentions (i.e. If it is this time in this place, I will do this behavior)
  • Practice WOOP — Wish, Outcome, Obstacle, Plan

7 deadly sins of happiness (coursera link)

  1. Devaluing Happiness:
  2. Chasing superiority
  3. Being needy — or its opposite, being avoidant
  4. Being overly controlling
  5. Distrusting others
  6. Distrusting life
  7. Ignoring the source within (mindfulness)

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Krishna Kumar K
Krishna Kumar K

Written by Krishna Kumar K

Product Guy. (Worked at Indeed, Microsoft ...). I write about product management, startups, analytics and machine learning. Occasionally I digress...

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