2019 Resolutions

Things to Learn (get even) Better (at)

1. Causal Inference (PO and Graph Frameworks and the difference)
2. Population Genetics and how the same theory applies to Cultural Evolution
3. Information Theory
4. Bayesian Model Fitting and Checking

Books to (Re)Read (4/29)

1. Hierarchy in the Forest: The Evolution of Egalitarian Behavior
   by Christopher Boehm
2. The Netsilik Eskimo by Asen Balikci
3. Demography and Evolutionary Ecology of Hadza Hunter-Gatherers by Nicholas Blurton Jones
4. Portuguese Sea Battles — Volume II — Christianity, Commerce and Corso 1522–1538 by Monteiro, Saturnino
5. Portuguese Sea Battles — Volume I — The First World Sea Power 1139–1521 by Monteiro, Saturnino
6. Data Visualization: A Practical Introduction by Healy, Kieran
7. Molecular Population Genetics by Hahn, Matthew William
8. A History of Russia, Central Asia and Mongolia, Volume I: Inner Eurasia from Prehistory to the Mongol Empire by Christian, David
9. T̶h̶e̶ ̶P̶a̶l̶e̶o̶ ̶D̶i̶e̶t̶ ̶R̶e̶v̶i̶s̶e̶d̶ ̶b̶y̶ ̶C̶o̶r̶d̶a̶i̶n̶,̶ ̶L̶o̶r̶e̶n̶
10. P̶e̶r̶f̶e̶c̶t̶ ̶H̶e̶a̶l̶t̶h̶ ̶D̶i̶e̶t̶ ̶b̶y̶ ̶S̶h̶o̶u̶-̶C̶h̶i̶n̶g̶ ̶J̶a̶m̶i̶n̶e̶t̶,̶ ̶P̶h̶.̶D̶.̶
11. Spatiotemporal Data Analysis by Gidon Eshel
12. T̶h̶e̶ ̶S̶p̶y̶ ̶W̶h̶o̶ ̶C̶a̶m̶e̶ ̶I̶n̶ ̶F̶r̶o̶m̶ ̶T̶h̶e̶ ̶C̶o̶l̶d̶ ̶/̶ ̶T̶h̶e̶ ̶L̶o̶o̶k̶i̶n̶g̶ ̶G̶l̶a̶s̶s̶ ̶W̶a̶r̶ ̶b̶y̶ ̶l̶e̶ ̶C̶a̶r̶r̶é̶,̶ ̶J̶o̶h̶n̶
13. Darwin’s Cathedral: Evolution, Religion, and the Nature of Society by Wilson, David Sloan
14. Ages of Discord by Turchin, Peter
15. Mathematical Models of Social Evolution: A Guide for the Perplexed by McElreath, Richard
16. The Byzantine Turks, 1204–1461 by Shukurov, Rustam
17. Statistical Rethinking: A Bayesian Course with Examples in R and Stan by Richard McElreath
18. T̶h̶i̶s̶ ̶V̶i̶e̶w̶ ̶o̶f̶ ̶L̶i̶f̶e̶:̶ ̶C̶o̶m̶p̶l̶e̶t̶i̶n̶g̶ ̶t̶h̶e̶ ̶D̶a̶r̶w̶i̶n̶i̶a̶n̶ ̶R̶e̶v̶o̶l̶u̶t̶i̶o̶n̶ ̶b̶y̶ ̶D̶a̶v̶i̶d̶ ̶S̶l̶o̶a̶n̶ ̶W̶i̶l̶s̶o̶n̶
19. Intelligence and How to Get It by Richard E. Nisbett
20. On Intelligence . . . More or Less: A Biological Treatise on Intellectual Development by Stephen Ceci
21. The Book of Why: The New Science of Cause and Effect by Pearl, Judea
22. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction by Imbens, Guido W
23. Causal Inference Part I. by Miguel A. Hernán, James M. Robins
24. Causal Inference Part II. by Miguel A. Hernán, James M. Robins
25. Causal Inference Part III. by Miguel A. Hernán, James M. Robins
26. Advanced Data Analysis from an Elementary Point of View by Cosma Rohilla Shalizi
27. Causation, Prediction, and Search by Peter Spirtes
28. Averroes and the Metaphysics of Causation bu Barry S. Kogan
29. Elements of Causal Inference by Jonas Peters

Comics to Read

1. The Incal by Jodorowsky, Alejandro
2. Corto Maltese by Hugo Pratt
3. Alien 3
4. Sandman Universe
5. Gideon Falls
6. Cemetery Beach
7. Moonshine
8. Lucifer

Articles Read So Far

1. Philosophy and the practice of Bayesian statistics by Andrew Gelman and Cosma Rohilla Shalizi
2. Data science is science’s second chance to get causal inference right: A classification of data science tasks by Miguel A. Hernán, John Hsu, Brian Healy
3. Does obesity shorten life? The importance of
   well-defined interventions to answer causal questions by Hernan and Taubman
4. Does Obesity Shorten Life? Or is it the Soda? On Non-manipulable Causes by Judea Pearl

Others

Stick to a Paleo diet as much as possible
High intensity workout 1–2 times a week