Do it for you.
Do it for your own happiness.
Do it so your life has meaning.
Do it so you can be.
Countless humans I have interfaced with in the past have mentioned to me that they want to do something but they don't because they don't know what other people would think about them when they do it.
In his book “The Seven Habits of Highly Effective People,” author Stephen R. Covey suggests that moving from dependence to independence (i.e. self-mastery) is key to one’s happiness and sanity. In other words, caring about what other people think is a self-destruction act.
The happiness of others is not your concern—especially if you have not yet mastered self-happiness. You are however responsible for your own happiness. Everything that I do, I do it for myself. I don’t do anything because it makes other people happy. I do it because it makes me happy. The same philosophy applies for what I do for work. Work should be 100% fun. Work should be play and play only.
Once you learn to let go and not mind about other people‘s business, you can move on with your life. Opinionated people who “thoughtfully” offer suggestions to others are everywhere. They will continue to “care” about you and proceed to drive you nuts. In these scenarios, I find it best to initiate a dialog with them. Make sure that they understand that what they are suggesting is not helpful. Ask them to stop. Have the ability to “agree to disagree.”
Unfortunately some of these “caring people” will not stop even after prolonged discussions. In my experience, some humans—for reasons which escapes me—simply do not have a logic unit in their CPUs. These types of humans will continue to send negative waves in the form of opinions and comments as “suggestions” about what you do. When these are constantly present and leeching into your sanity, terminate relationships with them right away. If you can't cut them loose then just move as far away as possible.
Remember: be independent. Be yourself. Be happy. Be responsible for you and yourself only.
Disclaimer: Brainhacking results vary. What works for SML might not work for you.