The hottest Causality Substack posts right now

The book discusses the justification and strengths of using machine learning in science, emphasizing prediction and adaptation to data
Machine learning lacks inherent transparency and causal understanding, but tools like interpretability and causality modeling can enhance its utility in research
The book is released chapter by chapter for free online, covering topics such as domain knowledge, interpretability, and causality

Understanding is important, not just getting the right answers. If we want to make sense of our world and society, we need deeper insights and not just calculations.
Ideas about causality and certainty have changed over time. What was once thought to be clear cut, like Newton's laws, has become more complicated with concepts like quantum mechanics.
Political philosophy can be impacted by scientific ideas. If we believe everything is contradictory, it may affect how we think about power and society, sometimes leading to a focus on who holds power rather than what is right or wrong.

Quantum mechanics was influenced by ideas that questioned the existence of an objective reality. Some scientists believed that what we observe is just a statistical illusion rather than a definite state.
Key figures like Heisenberg and Bohr argued against the law of causality, suggesting that atomic processes might not follow traditional cause-and-effect rules. They felt that understanding these processes could lead to contradictions.
Attempts to create a causal theory in quantum mechanics faced strong opposition. Despite efforts from scientists like Schrödinger, the non-causal view became widely accepted due to its statistical predictions.

The uncertainty mindset means understanding that the future is unpredictable. It allows a person to remain open to new information and possibilities.
Mindsets influence how we think and act. A flexible mindset helps us adapt to changes and can lead to new opportunities for growth.
Leaders can encourage an uncertainty mindset in their teams. This involves being honest about uncertainty and helping employees feel comfortable navigating it.

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Thought needs to have some effect on the world to be useful. If it doesn't change anything, we can't test or notice it.
Actions often require more energy than the intention behind them. Like how a tiny joystick can move a heavy crane, we need stored energy to make big movements happen.
The energy involved in our actions connects back through history. Every time we move, we are using energy that has been stored and transformed, showing how life's history influences what we do.