I will be posting soon… Meanwhile, here are some of my recent tweets that may be of interest to you.

Learning about second order Cybernetics made me realize that all systems are mental constructions. Your “system” maybe different from my “system”. Thus, your problem conception may differ from mine. Whose problem are you solving? #SaturdayThoughts

— Harish Jose (@harish_josev) March 16, 2019

Entropy is associated with disorder simply because there are a LOT more ways to be disordered. It is more likely to be in one of “million” states of disorder than one of a few states of order. #ThursdayThoughts

— Harish Jose (@harish_josev) March 14, 2019

“I am sure that you can agree…” is a bad tool to use in a debate. I am sure you can agree to that. 😊 #wednesdaythoughts

— Harish Jose (@harish_josev) March 13, 2019

Design the program to be better for the least skilled/experienced user to make the program overall better for everyone. A good Ux heuristic, also applicable in life. #uxdesign #wednesdaythoughts

— Harish Jose (@harish_josev) March 6, 2019

“Virtually all design is conducted in a state of relative ignorance of the full behaviour of the system being designed.” – Henry Petroski #complexity

— Harish Jose (@harish_josev) March 1, 2019

“Probability is normalized counting.” Wonderful insight from Richard McElreath #probability #bayesian

— Harish Jose (@harish_josev) February 28, 2019

Art has no meaning in a perfect world. The meaning of art lies in the fact that it emulates life. Art has to “lack perfection” in order to make sense. #SaturdayThoughts #wabisabi

— Harish Jose (@harish_josev) February 24, 2019

When you’re looking for confirmation of your hypothesis, you are using a low entropy model. When you seek to refute your hypothesis, you are using a high entropy model. High entropy models (max ent) are much closer to truth. You’re not putting all the🥚 in one basket. #complexity

— Harish Jose (@harish_josev) January 29, 2019

“Either – or” dichotomy is often a sign of a poorly constructed (mental) model for understanding complexity. This is similar to the “win-lose” zero-sum game mentality. #complexity

— Harish Jose (@harish_josev) February 12, 2019

A stable system is “organizationally closed”. (Von Forester) This concept is different than the thermodynamic closed system concept. #complexity_notes

— Harish Jose (@harish_josev) February 15, 2019

Sustaining is a homeostatic function. Thriving is not a homeostatic function, but a combination of explore/exploit functions. Sustaining focuses on existing feedback loops. Thriving requires changing the existing feedback loops and creating new ones. #complexity

— Harish Jose (@harish_josev) January 5, 2019

A multidisciplinary problem needs a multidisciplinary solution. In complexity, all problems are multidisciplinary. Variety is your friend. #complexity

— Harish Jose (@harish_josev) January 3, 2019

Don’t push for simplicity when you are stable. Similarly, don’t push for complexity when you are unstable. #complexity

— Harish Jose (@harish_josev) December 16, 2018

My postulate is that the information entropy of a constructed system is less than the sum of individual components’ information entropies. The negative factor comes from the interactions of the components(agents). #complexity #entropy

— Harish Jose (@harish_josev) December 29, 2018

Wise words from Howson and Urbach about misuse of Confidence Intervals. The observation that a parameter is not a random variable in the frequentist paradigm is profound. It’s one of those things that you think you know but don’t realize. #research #Statistics #bayesian pic.twitter.com/LrYg6JD1ZW

— Harish Jose (@harish_josev) November 25, 2018

Always keep on learning…