The In-Class Exercise
1. True or False. What occurs in the world is not always reasonable, logical, or right. Even so, it might be true. You’ll decide whether the Premises below are True or False.
2. Reasonable or Unreasonable. People act for reasons other than logic; among them sympathy, loyalty, hope, fear, vested interest, greed, and ineptitude. You’ll decide whether the Premises below are Reasonable or Unreasonable.
3. Right or Wrong. Decisions based on logic or reason can be ethical and moral, unethical or immoral. You’ll decide whether the Premises below are Good or Bad, Ethical or Unethical, Moral or Immoral.
Your Predictions
Before hearing about the Mammogram team at Kaiser Permanente Hospital or reading the associated article, respond in three ways to the Premises below.
First: declare whether the statements made appear to be True or False (you could also answer Likely or Unlikely).
Second: declare whether the statements appear to be Reasonable or Unreasonable (or if you prefer: Batshit Crazy, or Not Insane).
Third: Declare the statements’ moral or ethical position to be Good or Bad. (If the statement doesn’t permit a moral judgment, you could still pronounce it a Good thing, or fundamentally Just Wrong.)
Respond in three ways for each Premise.
1. Likely / Batshit Crazy / Bad
2. False / Reasonable / Good
3. Unlikely / Unreasonable / Wrong
4. True / Not Crazy / Right
Of course, in paradise, the Reasonable would always be True and Good, and the Crazy would always be Untrue, and universally recognized as Bad. But we know better, don’t we? At the end of class, return to your predictions. How many of your expectations were met?
The Article
Mammogram Team Learns from its Errors
The Premises
1. Women who find out how many cancers their doctors miss in routine mammograms stop getting mammograms.
2. Radiologists who perform mammograms are held accountable for the accuracy of their readings.
3. A doctor who finds hundreds of tumors in a year and a half, but who misses 10, is almost always fired.
4. Doctors who read only a few mammograms a month are removed from film-reading teams so that they read none at all.
5. Publishing the failure rates of radiologists improves their accuracy to the best the discipline can achieve.
6. The best technique for improving diagnosis accuracy has been adopted by almost no radiology departments.
7. Congress demands that radiologists be held accountable for their accuracy at detecting tumors in mammogram films.
8. The 20,000 US doctors who read breast X-rays are trained to do so; their accuracy is known and tested.
9. The medical profession accepts that, to varying degrees, all doctors make the same mistakes.
10. Doctors who do mammographies follow up with those patients to discover whether their diagnoses were correct.
11. Doctors appreciate knowing whether they missed actual tumors or misread the “shadows and swirls” of a mammogram as a tumor.
12. The “shame” of confronting an incorrect diagnosis is a valuable teaching tool for doctors who diagnose cancers from mammograms.
13. An accuracy rate of 80% in detecting cancers from mammograms is something to brag about.
14. The best doctor to head a radiology department is a squeamish physician who trained as a lawyer and prefers not to deal with patients “and their blood.”
15. Radiology can be tracked well statistically because patients either have tumors or they don’t.
16. When the director of the radiology department discovers a way to improve the accuracy of cancer diagnoses, his method is immediately embraced by hospital administrators.
17. When New York hospitals began to publish their surgeons’ heart surgery successes and failures, the death rate fell by 40%.
18. The falling death rate meant that heart surgeons were doing more careful work.
19. Hospitals that reduce their false diagnoses proudly advertise that they “make 20% fewer errors” than their competitors.
20. Publishing the error rates of mammography radiologists results in an uncertain but significant number of cancer deaths in women who avoid testing.
21. A radiologist who is known to have missed a tumor is likely to have missed a dozen out of 3000 he declared to be tumor-free.
22. Out of those 3000, when 250 were scanned again, and 30 were biopsied, 10 were found to have cancers he had missed.
23. Finding those 10 cancers was reported as a front-page medical scandal instead of a triumph of an enlightened new technique for avoiding missed diagnoses.
24. Many of the 250 women who were told they needed followup were angry.
25. Of the ten whose cancers were missed by the first doctor but discovered in followup screenings, most sued the hospital for malpractice.
26. The doctor who missed the 10 tumors felt he had been treated unfairly, that only 3 of the cancers could be blamed on him, and that his error rate was acceptable.
27. After being fired, he was hired as a fill-in radiologist in five states bordering North Carolina.
28. The radiologists on the terminated doctor’s team supported him, not the hospital, and resent having their work scrutinized and their failure rates published.
29. While some doctors read 14,000 films a year, and others fewer than 500, failure rates are very similar.
30. Doctors who read just 500 films a year get re-assigned to other work since their sample size is too small to determine their accuracy.
31. Doctors who are “fired” from film reading based on low volume are relieved to have the diagnostic responsibility taken from them.
32. Doctors would rather bring a patient back for a second look or a biopsy than miss a tumor.
33. Doctors are much happier to find evidence on the film of a cancer that has “been around for awhile.”
34. Routinely experiencing the shame of missed diagnoses in tests every four months builds confidence in radiologists.
35. Most hospitals send out lists of actual missed tumors or “false negatives” to their radiologists every year so they can study the films they misinterpreted.
36. The Kaiser Permanente department has learned to detect various “presentations” of tumors on film by studying films of actual missed tumors after the fact.
37. In North Carolina, for every two cancers radiologists find, they miss one.
38. If the results at Kaiser Permanente were replicated nationwide, better than 80% of cancers would be found and 10,000 more cancers would be correctly detected each year.
39. False positives are easy to track, but almost nobody tracks false negatives (missed tumors that show up in later mammograms).
40. There is no routine followup for women who, on the basis of their mammograms, are determined to be tumor free.
41. Holding radiologists to a higher standard of competency results in reduced access to quality care.
42. Making failure rates public increases the likelihood of malpractice claims, which in turn drives up insurance rates, which in turn drives good doctors from the field.
43. Having two doctors instead of one review every film improves accuracy and drives down costs.
44. A nationwide 70% effectiveness rate is considered the best that can be achieved practically and politically.
45. Government oversight of physician performance to standardize techniques nationally has actually reduced accuracy.
46. Dr. Adcock, who improved effectiveness in his radiology department by 25%, took himself off the team when his volume dropped.
47. The most conscientious doctors, who agonize over the presence or absence of tumors on every film, are by far the most effective.
48. When they have a choice, women are best served by the doctors who send the largest percentage of women for biopsies because they miss the fewest cancers.
49. The best indicator of whether a doctor is competent to read mammograms is the number of times she’s been sued.
50. A good day for mammograms is Mother’s Day, when many clinics offer free or discounted exams.
The Blind Summary.
When you finish classifying the claims for Truth/Reasonableness/Goodness, in one paragraph, try to summarize the article you have not read. Use the heading “BLIND SUMMARY.”
1 1ikely/ reasonable/ wrong
2 true/ reasonable/ right
3 false/unreasonable/ wrong
4 false/unreasonable/wrong
5 Likely/reasonable/good
6 false/unreasonable/wrong
7 true/reasonable/right
8 true/reasonable/right
9 true/reasonable/bad
10 true/reasonable/right
11 true/reasonable/right
12 true/reasonable/right
13 false/unreasonable/bad
14 false/unreasonable/wrong
15 false/unreasonable/wrong
16 likely/reasonable/good
17 true/reasonable/right
18 true/reasonable/good
19 likely/unreasonable/bad
20 unlikely/unreasonable/bad
21 likely/reasonable/bad
22 true/reasonable/right
23 true/unreasonable/right
24 likely/reasonable/bad
25 true/reasonable/right
26 true/reasonable/wrong
27 true/unreasonable/wrong
28 true/unreasonable/wrong
29 true/reasonable/right
30 true/reasonable/right
31 false/unreasonable/bad
32 true/reasonable/right
33 likely/reasonable/good
34 true/reasonable/good
35 true/reasonable/good
36 true/reasonable/good
37 true/reasonable/right
38 true/reasonable/right
39 true/reasonable/bad
40 false/unreasonable/bad
41 false/unreasonable/wrong
42 true/reasonable/bad
43 true/reasonable/good
44 true/reasonable/bad
45 likely/reasonable/good
46 true/reasonable/bad
47 true/reasonable/good
48 true/reasonable/good
49 false/unreasonable/bad
50 true/reasonable/good
Likely / reasonable / bad
Likely / reasonable / good
Unlikely / unreasonable / bad
Likely / reasonable / good
Unlikely / unreasonable / bad
Unlikely / unreasonable / bad
True / reasonable / good
True / reasonable / good
False / unreasonable / bad
Likely / reasonable / good
True / reasonable / good
True / reasonable / good
False / crazy / bad
False / crazy / bad
False / unreasonable / bad
Unlikely / reasonable / good
Likely / unreasonable / good
True / reasonable / good
Likely / crazy / bad
Unlikely / unreasonable / bad
Likely / reasonable / bad
Likely / reasonable / bad
Likely / unreasonable / bad
True / reasonable / bad
Likely / reasonable / good
Likely / unreasonable / bad
Unlikely / unreasonable / bad
Likely / reasonable / good
Unlikely / unreasonable / bad
Likely / unreasonable / bad
Unlikely / reasonable / good
True / reasonable / good
False / unreasonable / bad
Unlikely / unreasonable / bad
Likely / reasonable / good
True / reasonable / good
Unlikely / unreasonable / bad
True / reasonable / good
Likely / unreasonable / bad
Likely / unreasonable / bad
False / unreasonable / bad
True / unreasonable / bad
True / reasonable / good
False / unreasonable / bad
Likely / reasonable / bad
Unlikely / unreasonable / bad
True / reasonable / good
Likely / unreasonable / good
False / unreasonable / bad
False / unreasonable / bad
1. True, unreasonable, wrong
2. True, reasonable, right
3. False, unreasonable, wrong
4. True, unreasonable, wrong
5. True, reasonable, wrong
6. True, unreasonable, right
7. True, reasonable, wrong
8. True, reasonable, right
9. False, reasonable, right
10. True, reasonable, right
11. True, reasonable, right
12. False, reasonable, wrong
13. True, reasonable, right
14. Ture, unreasonable, wrong
15. False, reasonable, right
16. False, reasonable, wrong
17. True, reasonable, wrong
18. False, reasonable, right
19. True, reasonable, wrong
20. True, reasonable, wrong
21. True, reasonable, wrong
22. True, reasonable, right
23. True, unreasonable, wrong
24. True, reasonable, wrong
25. True, reasonable, wrong
26. True, reasonable, wrong
27. True, unreasonable, right
28. True, reasonable, right
29. True, reasonable, right
30. True, unreasonable, wrong
31. True, unreasonable, wrong
32. True, reasonable, right
33. True, unreasonable, wrong
34. True, unreasonable, right
35. True, reasonable, right
36. True, reasonable, right
37. True, reasonable, wrong
38. True, reasonable, wrong
39. False, unreasonable, wrong
40. True, unreasonable, wrong
41. True, reasonable, wrong
42. True, unreasonable, wrong
43. True, reasonable, right
44. True, reasonable, wrong
45. True, unreasonable, right
46. True, unreasonable, wrong
47. True, reasonable, wrong
48. True, reasonable, right
49. True, unreasonable, wrong
50. True, reasonable, right
Likely / batshit crazy / wrong
True / Reasonable / Right
Likely / Unreasonable / bad
Likely / not crazy / bad
True / not crazy / wrong
True / batshit crazy / wrong
Likely / not crazy / good
True / reasonable / good
True / reasonable / wrong
Likely / reasonable / right
Unlikely / reasonable / good
Unlikely / unreasonable / wrong
Likely / reasonable / bad
False / batshit crazy / wrong
Unlikely / unreasonable / bad
True / reasonable / right
Likely / reasonable / wrong
True / reasonable / wrong
Likely / unreasonable / bad
True / batshit crazy / wrong
Likely / not crazy / wrong
Likely / not crazy / bad
True / batshit crazy / wrong
True / batshit crazy / bad
True / batshit crazy / wrong
True / not crazy / right
True / reasonable / bad
Likely / reasonable / right
Likely / reasonable / right
Likely / unreasonable / bad
Unlikely / reasonable / bad
Likely / reasonable / good
Likely / unreasonable / wrong
Unlikely / batshit crazy / bad
Likely / reasonable / good
Likely / reasonable / good
Likely / reasonable / bad
True / reasonable / good
True /reasonable / good
Likely / unreasonable / bad
Likely / unreasonable / wrong
Likely / reasonable / wrong
Likely / reasonable / bad
Likely / reasonable / bad
True / unreasonable / wrong
Likely / unreasonable / bad
True / reasonable / wrong
True / reasonable / good
False / unreasonable / wrong
True / reasonable / good
1. False, unreasonable, wrong
2. True, reasonable, right
3. Likely, unreasonable, wrong
4. Unlikely, unreasonable, wrong
5. False, reasonable, good
6. Unlikely, unreasonable, wrong
7. True, reasonable, right
8. True, reasonable, good
9. False, unreasonable, not good
10. True, reasonable, right
11. True, reasonable, right
12. True, reasonable, right
13. False, unreasonable, not good
14. False, unreasonable, wrong
15. False, reasonable, wrong
16. False, reasonable, wrong
17. True, reasonable, right
18. True, reasonable, right
19. True, unreasonable, right
20. True, reasonable, right
21. True, reasonable, right
22. True, unreasonable, right
23. True, unreasonable, right
24. True, reasonable, right
25. True, reasonable, right
26. True, reasonable, right
27. True, reasonable, right
28. True, reasonable, right
29. True, unreasonable, right
30. True, unreasonable, right
31. True, reasonable, wrong
32. True, reasonable, right
33. False, unreasonable, wrong
34. False, unreasonable, wrong
35. True, reasonable, right
36. True, reasonable, right
37. True, reasonable, right
38. True, reasonable, right
39. True, unreasonable, right
40. True, unreasonable, right
41. True, unreasonable, right
42. True, unreasonable, right
43. True, reasonable, right
44. True, unreasonable, right
45. True, unreasonable, right
46. True, reasonable, wrong
47. True, reasonable, right
48. True, reasonable, right
49. True, unreasonable, right
50. False, reasonable, wrong
1. False / unreasonable / bad
2. False / unreasonable / bad
3. True / unreasonable / bad
4. False / unreasonable / bad
5. False / unreasonable / bad
6. False / unreasonable / bad
7. True / reasonable / good
8. True / reasonable / good
9. False / reasonable / bad
10. False / unreasonable / good
11. True / reasonable / bad
12. True / reasonable / bad
13. True / unreasonable / bad
14. True / unreasonable / bad
15. False / unreasonable / bad
16. False / reasonable / good
17.False / unreasonable / good
18. True / unreasonable / good
19. True / unreasonable / bad
20. True / unreasonable / bad
21. True ./ unreasonable / bad
22. True / reasonable / bad
23. False / unreasonable / bad
24. True / reasonable / bad
25. True / unreasonable / bad
26. True / unreasonable / bad
27. False / unreasonable / bad
28. True / unreasonable / bad
29. False / unreasonable / bad
30. True / reasonable / good
31. False / reasonable / good
32. True / reasonable / good
33. True / unreasonable / bad
34. False / unreasonable / bad
35. False / reasonable / good
36. False / reasonable / good
37. False / unreasonable / bad
38. True / reasonable / good
39. True / unreasonable / bad
40. True / unreasonable / bad
41. False / reasonable / bad
42. True / reasonable / good
43. False / reasonable / good
44. True / unreasonable / bad
45. True / unreasonable/ bad
46. True / reasonable / good
47. False / unreasonable / bad
48. True / reasonable / good
49. True / unreasonable / bad
50. True / reasonable / bad
1. False/Unreasonable/Wrong
2. False/Reasonable/Right
3. False/Unreasonable/Wrong
4. False/Unreasonable/Wrong
5. True/Reasonable/Right
6. True/Unreasonable/Wrong
7. False/Unreasonable/Wrong
8. True/Reasonable/Right
9. False/Unreasonable/Wrong
10. True/Reasonable/Right
11. False/Reasonable/Right
12. True/Reasonable/Wrong
13. False/Unreasonable/Wrong
14. False/Unreasonable/Wrong
15. False/Unreasonable Wrong
16. False/Reasonable/Right
17. True/Unreasonable/Wrong
18. True/Reasonable/Right
19. True/Reasonable/Right
20. False/Unreasonable/Wrong
21. True/Reasonable/Wrong
22. True/Reasonable/Right
23. True/Unreasonable/Wrong
24. True/Unreasonable/Wrong
25. False/Unreasonable/Wrong
26. True/Reasonable/Wrong
27. True/Unreasonable/Wrong
28. True/Reasonable/Right
29. True/Reasonable/Right
30. True/Reasonable/Wrong
31. True/Unreasonable/Wrong
32. True/Reasonable/Right
33. False/Unreasonable/Wrong
34. False/Unreasonable/Wrong
35. False/Reasonable/Right
36. True/Reasonable/Right
37. True/Reasonable/Wrong
38. True/Reasonable/Right
39. False/Unreasonable/Wrong
40. False/Unreasonable/Wrong
41. True/Reasonable/Right
42. True/Reasonable/Right
43. True/Reasonable/Right
44. False/Unreasonable/Wrong
45. True/Unreasonable/Wrong
46. False/Unreasonable/Wrong
47. True/Reasonable/Right
48. False/Unreasonable/Wrong
49. False/Unreasonable/Wrong
50. True/Reasonable/Wrong
1. False / Unreasonable / Wrong
2. True / Reasonable / Right
3. True / Unreasonable / Wrong
4. False / Unreasonable / Wrong
5. True / Reasonable / Right
6. True / Reasonable / Wrong
7. False / Unreasonable / Wrong
8. False / Reasonable / Right
9. False / Reasonable / Wrong
10. False / Reasonable / Right
11. False / Reasonable / Right
12. True / Reasonable / Right
13. False / Unreasonable / Wrong
14. False / Reasonable / Right
15. True / Reasonable / Right
16. False / Reasonable / Right
17. True / Reasonable / Wrong
18. True / Reasonable / Wrong
19. True / Reasonable / Wrong
20. True / Unreasonable / Wrong
21. True / Unreasonable / Wrong
22. True / Reasonable / Right
23. True / Unreasonable / Wrong
24. True / Reasonable / Wrong
25. True / Unreasonable / Wrong
26. True / Unreasonable / Wrong
27. True / Reasonable / Right
28. True / Reasonable / Right
29. False / Unreasonable / Wrong
30. True / Reasonable / Right
31. False / Reasonable / Wrong
32. True / Reasonable / Right
33. True / Reasonable / Wrong
34. False / Unreasonable / Wrong
35. True / Reasonable / Right
36. True / Reasonable / Right
37. True / Reasonable / Wrong
38. True / Reasonable / Wrong
39. False / Unreasonable / Wrong
40. True / Unreasonable / Wrong
41. False / Unreasonable / Wrong
42. True / Reasonable / Wrong
43. False / Reasonable / Right
44. True / Reasonable / Wrong
45. False / Unreasonable / Wrong
46. True / Unreasonable / Wrong
47. True / Reasonable / Right
48. True / Unreasonable / Wrong
49. False / Unreasonable / Wrong
50. False / Reasonable / Right
1.) likely/reasonable/good
2.) unlikely/ reasonable/ good
3.)likely/ unreasonable/ bad
4.)likely/ reasonable/ good
5.) unlikely/ unreasonable/ bad
6.) unlikely/ unreasonable/ bad
7.) likely/ reasonable/ good
8.) likely/ reasonable/ good
9.) unlikely/ unreasonable/ bad
10.) likely/ reasonable/ good
11.) likely/ reasonable/ good
12.) likely/ reasonable/ good
13.) likely/ reasonable/ bad
14.) unlikely/ batshit crazy/ bad
15.) unlikely/ reasonable/ bad
16.) likely/ reasonable/ good
17.)likely/ reasonable/ bad
18.)likely/ reasonable/ good
19.)likely/ unreasonable/ bad
20.) likely/ reasonable/ bad
21.)likely/ reasonable/ bad
22.) likely/ reasonable/ good
23.) unlikely/ unreasonable/ bad
24.) likely/ reasonable/ bad
25.) likely/ reasonable/ bad
26.) likely/ unreasonable/ bad
27.) unlikely/ unreasonable/ bad
28.)likely/ reasonable/ good
29.)unlikely/ unreasonable/ bad
30.) unlikely/ unreasonable/ bad
31.) likely/ unreasonable/ bad
32)likely/ reasonable/ good
33.) likely/ unreasonable/ bad
34.)unlikely/ unreasonable/ bad
35.) likely/ reasonable/ good
36.) likely/ reasonable/ bad
37.) unlikely/ unreasonable/ bad
38.) likely/ reasonable/ good
39.) unlikely/ unreasonable/ bad
40.) likely/ reasonable/ bad
41.)likely/ reasonable/ bad
42.) unlikely/ unreasonable/ bad
43.)likely/ reasonable/ good
44.) unlikely/ unreasonable/ bad
45.) unlikely/ unreasonable/ bad
46.) likely/ unreasonable/ bad
47.) likely/ reasonable/ good
48.) likely/ reasonable/ good
49.) likely/ reasonable/ bad
50.) likely/ reasonable/ good
I would assume this article discusses the success and failure rates of radiologists/ doctors who perform mammograms.
That’s the topic, yes, Cleo. The thesis is that doctors get much better at reading mammograms once the evidence of their failure is tracked and shared.
1. Unreasonable, Flase, Bad
2. Likely, Reasonable, True
3. Unlikely, Unreasonable, Bad
4. Likely, Reasonable, Right
5. Likely, Reasonable, Right
6. Batshit Crazy, False, Wrong
7. False, Unlikely, Wrong
8. Likely, Reasonable, Not Crazy
9. False, Unreasonable, Bad
10. True, Not Insane, Good
11. True, Not Insane, Good
12. True, Not Insane, Good
13. False, Unreasonable, Bad
14. Unlikely, Not Insane, Just Wrong
15. False, Unreasonable, Bad
16. True, Reasonable, Good thing
17. True, Unreasonable, Just Wrong
18. False, Unreasonable, Immoral (Denying patients with higher death rate)
19. True, Unreasonable, Unethical
20. False, Unreasonable, Bad
21. True, Unreasonable, Bad
22. True, Reasonable, Wrong
23. True, Unreasonable, Wrong
24. True, Unreasonable, Moral
25. True, Unreasonable, Immoral
26. False, Unreasonable, Immoral
27. True, Reasonable, Immoral
28. True, Reasonable, Immoral
29. True, Reasonable, Moral
30. True, Unreasonable, Immoral
31. False, Reasonable, Immoral
32. False, Reasonable, Wrong
33. True, Reasonable, Wrong (Easier for them to diagnose)
34. False, Reasonable, Right
35. False, Reasonable, Right
36. True, Reasonable, Moral
37. True, Reasonable, Moral
38. True, Reasonable, Moral
39. True. Unreasonable, Immoral
40. True, Unreasonable, Immoral
41. False, Unreasonable, Moral
42. True, Reasonable, Moral
43. False, Reasonable, Right
44. True, Unreasonable, Wrong
45. True, Unreasonable, Wrong
46. True, Unreasonable, Wrong
47. True, Reasonable, Right
48. False, Reasonable, Right
49. False, Unreasonable, Wrong
50. True, Reasonable, Right
Blind Summary
Based on the statements provided mammograms have a lot of controversies. All doctors seem to have a similar failure rate and the number of doctors is decreasing because of the bad stigma associated with missed cases.
That’s a perfectly reasonable prediction, Walmaarts. Instead, the article emphasizes how much better doctors get at reading mammograms once the evidence of their failure is tracked and shared.
1: False/unreasonable/unethical
2: False/reasonable/ethical
3: False/unreasonable/unethical
4: False/unreasonable/unethical
5: True/reasonable/unethical
6: False/reasonable/ethical
7: True/reasonable/ethical
8: True/reasonable/ethical
9: True/reasonable/unethical
10: True/reasonable/ethical
11: False/reasonable/ethical
12: True/reasonable/ethical
13: True/reasonable/ethical
14: False/unreasonable/unethical
15: False/reasonable/ethical
16: False/reasonable/ethical
17: True/reasonable/ethical
18: False/unreasonable/ethical
19: True/reasonable/ethical
20: True/reasonable/ethical
21: True/reasonable/unethical
22: True/reasonable/ethical
23: True/unreasonable/unethical
24: True/reasonable/ethical
25: True/reasonable/ethical
26: True/reasonable/ethical
27: True/unreasonable/unethical
28: True/reasonable/unethical
29: False/unreasonable/unethical
30: True/reasonable/ethical
31: True/reasonable/ethical
32: True/reasonable/ethical
33: False/unreasonable/unethical
34: False/reasonable/ethical
35: True/reasonable/ethical
36: True/reasonable/ethical
37: False/unreasonable/unethical
38: True/reasonable/ethical
39: True/reasonable/unethical
40: False/unreasonable/unethical
41: False/unreasonable/unethical
42: False/unreasonable/unethical
43: True/reasonable/ethical
44: False/unreasonable/unethical
45: False/unreasonable/unethical
46: True/reasonable/ethical
47: True/reasonable/ethical
48: True/reasonable/ethical
49: False/unreasonable/unethical
50: False/reasonable/unethical
1. True, unreasonable, bad
2. Likely, not crazy, wrong
3. Unlikely, unreasonable, wrong
4. Okay I guess, reasonable, just okay
5. Likely, not crazy, good
6. Likely, crazy, bad
7. Unlikely, unreasonable, wrong
8. Likely, reasonable, good
9. Likely, reasonable, right
10. Likely, reasonable, right
11. Likely, reasonable, bad
12. Likely, reasonable, right
13. Unlikely, unreasonable, wrong
14. Unlikely, unreasonable, wrong
15. Likely, seems right, good
16. Likely, reasonable, good
17. Unlikely, crazy, good
18. Likely, reasonable, good
19. Likely, crazy, good
20. Likely, reasonable, bad
21. Likely, reasonable, bad
22. Likely, reasonable, bad
23. Likely, crazy, bad
24. Likely, reasonable, bad
25. Likely, unreasonable, bad
26. Likely, reasonable, bad
27. Unlikely, unreasonable, wrong
28. Likely, reasonable, good
29. Likely, reasonable, bad
30. Likely, not crazy, right
31. Unlikely, not crazy, good
32. Likely, reasonable, good
33. Unlikely,unreasonable, bad
34. Unlikely, unreasonable, bad
35. Likely, reasonable, good
36. True, reasonable, good
37. True, crazy, bad
38. Likely, reasonable, good
39. Unlikely, unreasonable, bad
40. Unlikely, unreasonable, not good
41. Likely, unreasonable, bad
42. False, not crazy, bad
43. Likely, reasonable, okay
44. Likely, unreasonable, bad
45. Likely, crazy, bad
46. False, crazy, bad
47. Likely, crazy, wrong
48. Likely, reasonable, okay
49. False, unreasonable, bad
50. Unlikely, unreasonable, bad
This article is probably about how inaccurate mammograms are along with how choosing your radiologist could be optimized by looking at how many times they are sued. It probably reveals some unreasonable and batshit crazy form of eye-opening info regarding the subject through things that should be false. Without the specifics, that’s my summary.
Nayr, I love this. And you are right. The article, “reveals some unreasonable and batshit crazy form of eye-opening info regarding the subject through things that should be false.”
False/Unreasonable/wrong
True/reasonable/wrong
True/unreasonable/right
likely/ reasonable/right
true/unreasonable/wrong
unlikely/unreasonable/wrong
true/reasonable/right
true/reasonable/right
false/ unreasonable/ wrong
likely/reasonable/right
true/reasonable/good
true/reasonable/good
unsure/unreasonable/bad
unlikely/crazy/horrible
true/reasonable/right
likely/reasonable/right
likely/reasonable/good
likely/reasonable/right
likely/unreasonable/wrong
likely/unreasonable/wrong
unlikely/reasonable/wrong
true/reasonable/bad
unlikely/unreasonable/wrong
likely/reasonable/right
unsure/reasonable/right
true/reasonable/right
True/ unreasonable/ right
True/ reasonable/ right
True/ reasonable/ right
True/ unreasonable/ wrong
True/ unreasonable/ wrong
True/ reasonable/ right
True/unreasonable/wrong
True/ unreasonable/ right
True/ reasonable/ right
True/ reasonable/right
True/ reasonable/ right
True/ reasonable/ right
True/ unreasonable/right
True/ unreasonable/ right
True/ unreasonable/ right
True/ unreasonable/ right
True/ reasonable/ right
True/unreasonable/ right
True/ unreasonable/ right
True/ reasonable/wrong
likely/reasonable/right
likely/reasonable/right
false/reasonable/wrong
unlikely/reasonable/right
1. True, reasonable, wrong
2. True, reasonable, right
3. True, reasonable, right
4. False, unreasonable, wrong
5. True, reasonable, right
6. True, reasonable, right
7. True, reasonable, right
8. True, reasonable, right
9. True, unreasonable, wrong
10. False, reasonable, right
11. True, reasonable, right
12. True, reasonable, right
13. False, unreasonable, wrong
14. False, batshit crazy, wrong
15. True, reasonable, right
16. False, reasonable, right
17. True, reasonable, right
18. False, unreasonable, wrong
19. True, reasonable, right
20. True, reasonable, wrong
21. True, reasonable, right
22. True, unreasonable, wrong
23. True, reasonable, right
24. True, reasonable, right
25. True, reasonable, right
26. True, unreasonable, wrong
27. True, reasonable, wrong
28. False, reasonable, wrong
29. False, unreasonable, wrong
30. True, reasonable, right
31. False, reasonable, wrong
32. True, reasonable, right
33. True, reasonable, right
34. False, unreasonable, wrong
35. False, reasonable, right
36. True, reasonable, right
37. False, unreasonable, wrong
38. True, reasonable, right
39. False, unreasonable, wrong
40. True, unreasonable, wrong
41. False, unreasonable, wrong
42. False, reasonable, wrong
43. True, reasonable, right
44. False, unreasonable, wrong
45. False, unreasonable, wrong
46. False, unreasonable, wrong
47. false, reasonable, right
48. False, reasonable, wrong
49. False, reasonable, right
50. False, unreasonable, right
This article seems to talk about mammograms and the likely hood that doctors find their patients tumors. It also talks about what doctors do when their diagnosis’ are wrong and how they react to their mistakes. It shows that one false move could ruin the rest of their careers.
BLIND SUMMARY: I predict this article is about how doctors are getting in trouble and even sued due to missing tumors in mammograms. This article goes against the doctors and are with the patients that were wronged by the doctors. It is a way to show why women are missing their mammograms or don’t believe them because of the number of missed tumors. This article also goes to show just how much impact that one bad review and keeping score has on a doctor’s career. It uses lots of percentages and facts to persuade us into thinking that doctors reviewing mammograms make a lot of mistakes.
A lot of what you say is absolutely true. But as you may know by now, the focus is on how much better doctors get at reading mammograms once the evidence of their failure is tracked and shared.
BLIND SUMMARY
Doctors are fired and scorned by their bosses and peers, or shunned by their former patients, for misdiagnosing cancer in women. In this unfortunate world, doctors are more likely to put in the time and effort to get more accurate results, not for the patient’s sake, but for their own. Reviews are given, and results and statistics can be easily found, so doctors get a bad reputation for just one poor diagnosis. Therefore, doctors would much rather have an easy cancer case to identify, or a cancer that has already been identified) so that their reputation is not ruined! It is always worth going back for routine check-ups in order to get more accurate results.
It appears the anecdote I shared with you about Yelp reviews for doctors influenced your reading. I understand why, but I didn’t intend it. Instead, the article emphasizes how much better doctors get at reading mammograms once the evidence of their failure is tracked and shared.
1. Likely / Reasonable / Bad
2. Likely / Reasonable / Bad
3. Unlikely / Reasonable / Bad
4. Unlikely / Unreasonable / Bad
5. Likely / Reasonable / Good
6. Unlikely / Reasonable / Bad
7. Likely / Reasonable / Good
8. Likely / Reasonable / Good
9. Likely / Unreasonable / Bad
10. Likely / Reasonable / Good
11. Likely / Reasonable / Good
12. Likely / Reasonable / Bad
13. Unlikely / Unreasonable / Bad
14. Unlikely / Unreasonable / Bad
15. Likely / Reasonable / Bad
16. Likely / Reasonable / Good
17. Likely / Reasonable / Good
18. Likely / Reasonable / Good
19. Likely / Reasonable / Good
20. Likely / Reasonable / Bad
21. Likely / Reasonable / Bad
22. Likely / Unreasonable / Bad
23. Likely / Reasonable / Bad
24. Likely / Reasonable / Bad
25. Unlikely / Reasonable / Bad
26. Unlikely / Unreasonable / Bad
27. Unlikely / Reasonable / Bad
28. Likely / Reasonable / Good
29. Unlikely / Unreasonable / Bad
30. Unlikely / Reasonable / Bad
31. Unlikely / Unreasonable / Bad
32. Likely / Reasonable / Good
33. Unlikely / Unreasonable / Bad
34. Unlikely / Reasonable / Bad
35. Likely / Reasonable / Good
36. Likely / Reasonable / Good
37. Unlikely / Reasonable / Bad
38. Unlikely / Reasonable / Bad
39. Likely / Reasonable / Bad
40. Likely / Unreasonable / Bad
41. Unlikely / Unreasonable / Bad
42. Unlikely / Reasonable / Bad
43. Likely / Reasonable / Good
44. Likely / Unreasonable / Bad
45. Likely / Reasonable / Bad
46. Unlikely / Reasonable / Bad
47. Likely / Reasonable / Good
48. Likely / Reasonable / Good
49. Likely / Reasonable / Bad
50. Likely / Unreasonable / Good
1. False, unreasonable, wrong
2. True, reasonable, right
3. Likely, unreasonable, wrong
4. Unlikely, unreasonable, wrong
5. False, reasonable, good
6. Unlikely, unreasonable, wrong
7. True, reasonable, right
8. True, reasonable, good
9. False, unreasonable, not good
10. True, reasonable, right
11. True, reasonable, right
12. True, reasonable, right
13. False, unreasonable, not good
14. False, unreasonable, wrong
15. False, reasonable, wrong
16. False, reasonable, wrong
17. True, reasonable, right
18. True, reasonable, right
19. True, unreasonable, right
20. True, reasonable, right
21. True, reasonable, right
22. True, unreasonable, right
23. True, unreasonable, right
24. True, reasonable, right
25. True, reasonable, right
26. True, reasonable, right
27. True, reasonable, right
28. True, reasonable, right
29. True, unreasonable, right
30. True, unreasonable, right
31. True, reasonable, wrong
32. True, reasonable, right
33. False, unreasonable, wrong
34. False, unreasonable, wrong
35. True, reasonable, right
36. True, reasonable, right
37. True, reasonable, right
38. True, reasonable, right
39. True, unreasonable, right
40. True, unreasonable, right
41. True, unreasonable, right
42. True, unreasonable, right
43. True, reasonable, right
44. True, unreasonable, right
45. True, unreasonable, right
46. True, reasonable, wrong
47. True, reasonable, right
48. True, reasonable, right
49. True, unreasonable, right
50. False, reasonable, wrong