Stephen Pinker’s 2012 lecture on 21st century scientific writing style


Click on the link below to watch Stephen Pinker, one of social science’s greats, give a one-hour talk on how to write good scientific papers:

Communicating Science and Technology in the 21st Century: Steven Pinker

Steven Pinker: “The Sense of Style: Scientific Communication for the 21st Century”
Harvard College Professor, and Johnstone Family Professor, Department of Psychology, Harvard University

Let’s face it: most scientists are terrible communicators. Why do the world’s most cerebral people find it so hard to convey their ideas? And how can we learn to do better? I suggest that answers can be found in a number of ideas from the modern sciences of mind and language. Among them are: The Tree and the Chain (how multidimensional ideas are mapped onto one-dimensional strings); The Curse of Knowledge (why it’s so hard to imagine what it’s like not to know something you do know); and Long Shadow of Mrs. Grundy (how to distinguish rules of proper usage that are worth keeping from those that are bogus)

The first annual Department of Nuclear Science and Engineering lecture about communicating complex scientific and technological subjects clearly and engagingly in the series: “Communicating Science and Technology in the 21st Century.”

Recorded on 9/12/12

How to understand statistics the painless way

Watch these 85+ brilliant videos on various topics in introductory statistics by Salman Khan from the Khan Academy.

If you don’t know about the Khan Academy, the free online website with over 3300 instructional videos that have been downloaded over 175 million times, then watch this TED video and be impressed:

from the Khan Academy website:

Statistics

Introduction to statistics. Will eventually cover all of the major topics in a first-year statistics course (not there yet!)
Videos
  1. Mean Median and Mode
  2. Range and Mid-range
  3. Reading Pictographs
  4. Reading Bar Graphs
  5. u08_l1_t2_we2 Reading Line Graphs
  6. Reading Pie Graphs (Circle Graphs)
  7. Misleading Line Graphs
  8. u08_l1_t2_we3 Stem-and-leaf Plots
  9. Box-and-Whisker Plots
  10. Reading Box-and-Whisker Plots
  11. Statistics: The Average
  12. Statistics: Sample vs. Population Mean
  13. Statistics: Variance of a Population
  14. Statistics: Sample Variance
  15. Statistics: Standard Deviation
  16. Statistics: Alternate Variance Formulas
  17. Introduction to Random Variables
  18. Probability Density Functions
  19. Binomial Distribution 1
  20. Binomial Distribution 2
  21. Binomial Distribution 3
  22. Binomial Distribution 4
  23. Expected Value: E(X)
  24. Expected Value of Binomial Distribution
  25. Poisson Process 1
  26. Poisson Process 2
  27. Law of Large Numbers
  28. Normal Distribution Excel Exercise
  29. Introduction to the Normal Distribution
  30. ck12.org Normal Distribution Problems: Qualitative sense of normal distributions
  31. ck12.org Normal Distribution Problems: z-score
  32. ck12.org Normal Distribution Problems: Empirical Rule
  33. ck12.org Exercise: Standard Normal Distribution and the Empirical Rule
  34. ck12.org: More Empirical Rule and Z-score practice
  35. Central Limit Theorem
  36. Sampling Distribution of the Sample Mean
  37. Sampling Distribution of the Sample Mean 2
  38. Standard Error of the Mean
  39. Sampling Distribution Example Problem
  40. Confidence Interval 1
  41. Mean and Variance of Bernoulli Distribution Example
  42. Bernoulli Distribution Mean and Variance Formulas
  43. Margin of Error 1
  44. Margin of Error 2
  45. Confidence Interval Example
  46. Small Sample Size Confidence Intervals
  47. Hypothesis Testing and P-values
  48. One-Tailed and Two-Tailed Tests
  49. Z-statistics vs. T-statistics
  50. Type 1 Errors
  51. Small Sample Hypothesis Test
  52. T-Statistic Confidence Interval
  53. Large Sample Proportion Hypothesis Testing
  54. Variance of Differences of Random Variables
  55. Difference of Sample Means Distribution
  56. Confidence Interval of Difference of Means
  57. Clarification of Confidence Interval of Difference of Means
  58. Hypothesis Test for Difference of Means
  59. Comparing Population Proportions 1
  60. Comparing Population Proportions 2
  61. Hypothesis Test Comparing Population Proportions
  62. Squared Error of Regression Line
  63. Proof (Part 1) Minimizing Squared Error to Regression Line
  64. Proof (Part 3) Minimizing Squared Error to Regression Line
  65. Proof (Part 4) Minimizing Squared Error to Regression Line
  66. Regression Line Example
  67. Proof Part 2 Minimizing Squared Error to Line
  68. R-Squared or Coefficient of Determination
  69. Second Regression Example
  70. Calculating R-Squared
  71. Covariance and the Regression Line
  72. Chi-Square Distribution Introduction
  73. Pearson’s Chi Square Test (Goodness of Fit)
  74. Contingency Table Chi-Square Test
  75. ANOVA 1 – Calculating SST (Total Sum of Squares)
  76. ANOVA 2 – Calculating SSW and SSB (Total Sum of Squares Within and Between).avi
  77. ANOVA 3 -Hypothesis Test with F-Statistic
  78. Correlation and Causality
  79. Deductive Reasoning 1
  80. Deductive Reasoning 2
  81. Deductive Reasoning 3
  82. U12_L1_T3_we1 Inductive Reasoning 1
  83. Inductive Reasoning 2
  84. Inductive Reasoning 3
  85. U03_L1_T1_we2 Inductive