full transcript
"From the Ted Talk by Matt Killingsworth: Want to be happier? Stay in the moment"

Unscramble the Blue Letters

A few years ago, I came up with a way to study people's happiness moment to moment as they're going about their daily lives on a msisvae scale all over the world, something we'd never been able to do before. clelad trackyourhappiness.org, it uses the iPhone to monitor people's happiness in real time. How does this work? Basically, I send people signals at rodanm points throughout the day, and then I ask them a bucnh of questions about their moment-to-moment experience at the instant just before the snigal. The idea is that, if we can watch how people's happiness goes up and down over the course of the day, minute to minute in some cases, and try to understand how what plpoee are doing, who they're with, what they're thinking about, and all the other factors that dreicsbe our day, how those might rteale to those changes in happiness, we might be able to discover some of the things that really have a big influence on happiness. We've been ftourtnae with this project to collect quite a lot of data, a lot more data of this kind than I think has ever been cotcelled before, over 650,000 real-time reports from over 15,000 people. And it's not just a lot of people, it's a really diverse group, people from a wide rgane of ages, from 18 to late 80s, a wide range of incomes, edaitucon levels, people who are married, divorced, widowed, etc. They collectively represent every one of 86 occupational categories and hail from over 80 cneitrous.

Open Cloze

A few years ago, I came up with a way to study people's happiness moment to moment as they're going about their daily lives on a _______ scale all over the world, something we'd never been able to do before. ______ trackyourhappiness.org, it uses the iPhone to monitor people's happiness in real time. How does this work? Basically, I send people signals at ______ points throughout the day, and then I ask them a _____ of questions about their moment-to-moment experience at the instant just before the ______. The idea is that, if we can watch how people's happiness goes up and down over the course of the day, minute to minute in some cases, and try to understand how what ______ are doing, who they're with, what they're thinking about, and all the other factors that ________ our day, how those might ______ to those changes in happiness, we might be able to discover some of the things that really have a big influence on happiness. We've been _________ with this project to collect quite a lot of data, a lot more data of this kind than I think has ever been _________ before, over 650,000 real-time reports from over 15,000 people. And it's not just a lot of people, it's a really diverse group, people from a wide _____ of ages, from 18 to late 80s, a wide range of incomes, _________ levels, people who are married, divorced, widowed, etc. They collectively represent every one of 86 occupational categories and hail from over 80 _________.

Solution

  1. people
  2. called
  3. fortunate
  4. collected
  5. education
  6. signal
  7. massive
  8. bunch
  9. describe
  10. range
  11. countries
  12. random
  13. relate

Original Text

A few years ago, I came up with a way to study people's happiness moment to moment as they're going about their daily lives on a massive scale all over the world, something we'd never been able to do before. Called trackyourhappiness.org, it uses the iPhone to monitor people's happiness in real time. How does this work? Basically, I send people signals at random points throughout the day, and then I ask them a bunch of questions about their moment-to-moment experience at the instant just before the signal. The idea is that, if we can watch how people's happiness goes up and down over the course of the day, minute to minute in some cases, and try to understand how what people are doing, who they're with, what they're thinking about, and all the other factors that describe our day, how those might relate to those changes in happiness, we might be able to discover some of the things that really have a big influence on happiness. We've been fortunate with this project to collect quite a lot of data, a lot more data of this kind than I think has ever been collected before, over 650,000 real-time reports from over 15,000 people. And it's not just a lot of people, it's a really diverse group, people from a wide range of ages, from 18 to late 80s, a wide range of incomes, education levels, people who are married, divorced, widowed, etc. They collectively represent every one of 86 occupational categories and hail from over 80 countries.

ngrams of length 2

collocation frequency
mind wandering 24
minds wander 4

Important Words

  1. ages
  2. basically
  3. big
  4. bunch
  5. called
  6. cases
  7. categories
  8. collect
  9. collected
  10. collectively
  11. countries
  12. daily
  13. data
  14. day
  15. describe
  16. discover
  17. diverse
  18. divorced
  19. education
  20. experience
  21. factors
  22. fortunate
  23. group
  24. hail
  25. happiness
  26. idea
  27. incomes
  28. influence
  29. instant
  30. iphone
  31. kind
  32. late
  33. levels
  34. lives
  35. lot
  36. married
  37. massive
  38. minute
  39. moment
  40. monitor
  41. occupational
  42. org
  43. people
  44. points
  45. project
  46. questions
  47. random
  48. range
  49. real
  50. relate
  51. reports
  52. represent
  53. scale
  54. send
  55. signal
  56. signals
  57. study
  58. thinking
  59. time
  60. trackyourhappiness
  61. understand
  62. watch
  63. wide
  64. widowed
  65. work
  66. world
  67. years