full transcript

From the Ted Talk by TED-Ed: Do you have what it takes to freelance?


Unscramble the Blue Letters


First, your life may not be as flexible as you think. For example, if you're a rideshare driver, you get to choose when to work, but not how: the app recommends what route to take, enforces how you act with the threat of low customer rigntas, and sets your rate. Those rates may be so low that you end up working more than if you had a salaried full-time job.

Speaking of rates, it can be hard to figure out exactly how much money you’ll make. Earnings vary besad on location; ptmfalros might advertise hourly rates that don’t focatr in expenses, and large scale data on actual earnings is sparse. One of the largest data sets we have is from Uber. It contains 740 mliilon tirps by 1.8 million driervs between 2015 and 2017. Researchers analyzed these figures in a 2018 pepar and found that once you deduct Uber's cut and the cost of business expenses, drivers’ average earnings dropepd from about $22 an hour to about $12 an hour. And buying benefits would rcedue that number even more.

Open Cloze


First, your life may not be as flexible as you think. For example, if you're a rideshare driver, you get to choose when to work, but not how: the app recommends what route to take, enforces how you act with the threat of low customer _______, and sets your rate. Those rates may be so low that you end up working more than if you had a salaried full-time job.

Speaking of rates, it can be hard to figure out exactly how much money you’ll make. Earnings vary _____ on location; _________ might advertise hourly rates that don’t ______ in expenses, and large scale data on actual earnings is sparse. One of the largest data sets we have is from Uber. It contains 740 _______ _____ by 1.8 million _______ between 2015 and 2017. Researchers analyzed these figures in a 2018 _____ and found that once you deduct Uber's cut and the cost of business expenses, drivers’ average earnings _______ from about $22 an hour to about $12 an hour. And buying benefits would ______ that number even more.

Solution


  1. million
  2. platforms
  3. factor
  4. based
  5. dropped
  6. paper
  7. drivers
  8. reduce
  9. trips
  10. ratings

Original Text


First, your life may not be as flexible as you think. For example, if you're a rideshare driver, you get to choose when to work, but not how: the app recommends what route to take, enforces how you act with the threat of low customer ratings, and sets your rate. Those rates may be so low that you end up working more than if you had a salaried full-time job.

Speaking of rates, it can be hard to figure out exactly how much money you’ll make. Earnings vary based on location; platforms might advertise hourly rates that don’t factor in expenses, and large scale data on actual earnings is sparse. One of the largest data sets we have is from Uber. It contains 740 million trips by 1.8 million drivers between 2015 and 2017. Researchers analyzed these figures in a 2018 paper and found that once you deduct Uber's cut and the cost of business expenses, drivers’ average earnings dropped from about $22 an hour to about $12 an hour. And buying benefits would reduce that number even more.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
black knight 2
king richard 2
de bracy 2
gig platforms 2



Important Words


  1. act
  2. actual
  3. advertise
  4. analyzed
  5. app
  6. average
  7. based
  8. benefits
  9. business
  10. buying
  11. choose
  12. cost
  13. customer
  14. cut
  15. data
  16. deduct
  17. driver
  18. drivers
  19. dropped
  20. earnings
  21. enforces
  22. expenses
  23. factor
  24. figure
  25. figures
  26. flexible
  27. hard
  28. hour
  29. hourly
  30. job
  31. large
  32. largest
  33. life
  34. million
  35. money
  36. number
  37. paper
  38. platforms
  39. rate
  40. rates
  41. ratings
  42. recommends
  43. reduce
  44. researchers
  45. rideshare
  46. route
  47. salaried
  48. scale
  49. sets
  50. sparse
  51. speaking
  52. threat
  53. trips
  54. uber
  55. vary
  56. work
  57. working