{"id":12030,"date":"2026-04-16T12:24:07","date_gmt":"2026-04-16T04:24:07","guid":{"rendered":"https:\/\/www.invbus.com\/blog\/?p=12030"},"modified":"2026-04-16T12:24:07","modified_gmt":"2026-04-16T04:24:07","slug":"%e8%ae%a4%e7%9f%a5%e5%81%8f%e5%b7%ae%e7%9f%a5%e8%af%86%e6%89%8b%e5%86%8c-cognitive-biases","status":"publish","type":"post","link":"https:\/\/www.invbus.com\/blog\/?p=12030","title":{"rendered":"\u8ba4\u77e5\u504f\u5dee\u77e5\u8bc6\u624b\u518c\u00a0Cognitive Biases"},"content":{"rendered":"\n
\u76ee\u5f55<\/h5>\n\n\n\n

\u4e00\u3001\u51b3\u7b56\u3001\u4fe1\u5ff5\u4e0e\u884c\u4e3a\u504f\u5dee<\/a><\/p>\n\n\n\n

1. \u4e0d\u660e\u786e\u6027\u6548\u5e94 Ambiguity Effect<\/a><\/p>\n\n\n\n

2. \u951a\u5b9a\u6548\u5e94 Anchoring Effect<\/a><\/p>\n\n\n\n

3. \u6ce8\u610f\u529b\u504f\u5dee Attentional Bias<\/a><\/p>\n\n\n\n

4. \u83b7\u5f97\u6027\u542f\u53d1 Availability Heuristic<\/a><\/p>\n\n\n\n

5. \u53ef\u83b7\u6027\u5c42\u53e0 Availability Heuristic<\/a><\/p>\n\n\n\n

6. \u9006\u706b\u6548\u5e94 Backfire Effect<\/a><\/p>\n\n\n\n

7. \u4ece\u4f17\u6548\u5e94 Bandwagon Effect<\/a><\/p>\n\n\n\n

8. \u4fe1\u5ff5\u504f\u5dee Belief Bias<\/a><\/p>\n\n\n\n

9. \u9009\u62e9\u652f\u6301\u504f\u5dee Choice-Supportive Bias<\/a><\/p>\n\n\n\n

10. \u786e\u8ba4\u504f\u5dee Confirmation Bias<\/a><\/p>\n\n\n\n

11 \u77e5\u8bc6\u7684\u8bc5\u5492 Curse of Knowledge<\/a><\/p>\n\n\n\n

12. \u8bf1\u9975\u6548\u5e94 Decoy Effect<\/a><\/p>\n\n\n\n

13. \u5dee\u5f02\u504f\u5dee Distinction Bias<\/a><\/p>\n\n\n\n

14. \u7980\u8d4b\u6548\u5e94 Endowment Effect<\/a><\/p>\n\n\n\n

15. \u529f\u80fd\u56fa\u7740 Functional Fixedness<\/a><\/p>\n\n\n\n

16. \u5df4\u7eb3\u59c6\u6548\u5e94 Barnum Effect<\/a><\/p>\n\n\n\n

17. \u6846\u67b6\u6548\u5e94 Framing Effect<\/a><\/p>\n\n\n\n

18. \u9891\u7387\u9519\u89c9 Frequency Illusion<\/a><\/p>\n\n\n\n

19. \u540e\u89c1\u4e4b\u660e\u504f\u5dee Hindsight Bias<\/a><\/p>\n\n\n\n

20. \u5f53\u4e0b\u504f\u5dee Current Moment Bias<\/a><\/p>\n\n\n\n

21. \u53ef\u8fa8\u8bc6\u53d7\u5bb3\u8005\u6548\u5e94 Identifiable Victim Effect<\/a><\/p>\n\n\n\n

22. \u5b9c\u5bb6\u6548\u5e94 IKEA Effect<\/a><\/p>\n\n\n\n

23. \u5f71\u54cd\u529b\u504f\u5dee Impact Bias<\/a><\/p>\n\n\n\n

24. \u8d44\u8baf\u504f\u5dee Information Bias<\/a><\/p>\n\n\n\n

25. \u6c89\u6ca1\u6210\u672c\u8c2c\u8bef Sunk Cost Fallacy<\/a><\/p>\n\n\n\n

26. \u635f\u5931\u8d8b\u907f Loss Aversion<\/a><\/p>\n\n\n\n

27. \u5355\u7eaf\u63a5\u89e6\u6548\u5e94 Mere Exposure Effect<\/a><\/p>\n\n\n\n

28. \u8d1f\u9762\u504f\u5dee Negativity Bias<\/a><\/p>\n\n\n\n

29. \u5ffd\u7565\u53ef\u80fd\u6027 Neglect of Probability<\/a><\/p>\n\n\n\n

30. \u4e50\u89c2\u504f\u5dee Optimism Bias<\/a><\/p>\n\n\n\n

31. \u9e35\u9e1f\u6548\u5e94 Ostrich Effect<\/a><\/p>\n\n\n\n

32. \u89c4\u5212\u8c2c\u8bef Planning Fallacy<\/a><\/p>\n\n\n\n

33. \u5bf9\u6297\u5fc3\u7406 Reactance<\/a><\/p>\n\n\n\n

34. \u81ea\u5236\u504f\u5dee Restraint Bias<\/a><\/p>\n\n\n\n

35. \u97f5\u5f8b\u5f53\u7406\u7531\u6548\u5e94 Rhyme as Reason Effect<\/a><\/p>\n\n\n\n

36. \u98ce\u9669\u8865\u507f Risk Compensation<\/a><\/p>\n\n\n\n

37. \u9009\u62e9\u6027\u77e5\u89c9 Selective Perception<\/a><\/p>\n\n\n\n

38. \u5e78\u5b58\u8005\u504f\u5dee Survivorship Bias<\/a><\/p>\n\n\n\n

39. \u96f6\u98ce\u9669\u504f\u5dee Zero-Risk Bias<\/a><\/p>\n\n\n\n

40. \u611f\u77e5\u4ef7\u503c\u504f\u5dee Perceived Value Bias<\/a><\/p>\n\n\n\n

41. \u5206\u6790\u762b\u75ea Analysis Paralysis<\/a><\/p>\n\n\n\n

42. \u7a00\u7f3a\u6548\u5e94 Scarcity Effect<\/a><\/p>\n\n\n\n

43. \u6d41\u7545\u6027\u542f\u53d1 Fluency Heuristic<\/a><\/p>\n\n\n\n

\u4e8c\u3001\u793e\u4f1a\u504f\u5dee<\/a><\/p>\n\n\n\n

44. \u884c\u52a8\u8005-\u89c2\u5bdf\u8005\u504f\u5dee Actor-Observer Bias<\/a><\/p>\n\n\n\n

45. \u8fbe\u514b\u6548\u5e94 Dunning\u2013Kruger Effect<\/a><\/p>\n\n\n\n

46. \u9519\u8bef\u5171\u8bc6\u6548\u5e94 False Consensus Effect<\/a><\/p>\n\n\n\n

47. \u57fa\u672c\u5f52\u56e0\u8c2c\u8bef Fundamental Attribution Error<\/a><\/p>\n\n\n\n

48. \u6655\u8f6e\u6548\u5e94 Halo Effect<\/a>49. \u7fa4\u5185\u504f\u5dee Ingroup Bias<\/a><\/p>\n\n\n\n

50. \u6743\u5a01\u504f\u89c1 Authority Bias<\/a><\/p>\n\n\n\n

51. \u5f97\u5bf8\u8fdb\u5c3a\u6cd5 Foot-in-the-Door Technique<\/a><\/p>\n\n\n\n

\u4e09\u3001\u8bb0\u5fc6\u9519\u8bef\u4e0e\u504f\u5dee<\/a><\/p>\n\n\n\n

52. \u8c37\u6b4c\u6548\u5e94 Google Effect<\/a><\/p>\n\n\n\n

53. \u5e7d\u9ed8\u6548\u5e94 Humor Effect<\/a><\/p>\n\n\n\n

54. \u771f\u76f8\u9519\u89c9\u6548\u5e94 Illusion of Truth Effect<\/a><\/p>\n\n\n\n

55. \u5cf0\u7ec8\u6cd5\u5219 Peak-End Rule<\/a><\/p>\n\n\n\n

56. \u56fe\u7247\u4f18\u52bf\u6548\u5e94 Picture Superiority Effect<\/a><\/p>\n\n\n\n

57. \u9996\u56e0\u6548\u5e94 Primacy Effect<\/a><\/p>\n\n\n\n

58. \u96f7\u65af\u591a\u592b\u6548\u5e94 Von Restorff Effect<\/a><\/p>\n\n\n\n

59. \u8521\u683c\u5c3c\u6548\u5e94 Zeigarnik Effect<\/a><\/p>\n\n\n\n

\u56db\u3001\u7edf\u8ba1\u4e0e\u51e0\u7387\u504f\u5dee<\/a><\/p>\n\n\n\n

60. \u57fa\u672c\u6bd4\u7387\u8c2c\u8bef Base Rate fallacy<\/a><\/p>\n\n\n\n

61. \u8d4c\u5f92\u8c2c\u8bef Gambler’s Fallacy<\/a><\/p>\n\n\n\n

62. \u70ed\u624b\u8c2c\u8bef Hot-Hand Fallacy<\/a><\/p>\n\n\n\n

63. \u5bf9\u6837\u672c\u6570\u4e0d\u654f\u9510 Insensitivity to Sample Size<\/a><\/p>\n\n\n\n

\u4e94\u3001\u5b9e\u9a8c\u4e0e\u7814\u7a76\u504f\u5dee<\/a><\/p>\n\n\n\n

64. \u53d6\u6837\u504f\u5dee Sampling Bias<\/a><\/p>\n\n\n\n

65. \u89c2\u5bdf\u8005\u671f\u671b\u6548\u5e94 Observer-Expectancy Effect<\/a><\/p>\n\n\n\n

66. \u793e\u4f1a\u671f\u8bb8\u504f\u5dee Social Desirability Bias<\/a><\/p>\n\n\n\n

67. \u9057\u6f0f\u53d8\u6570\u504f\u5dee Omitted-Variable Bias<\/a><\/p>\n\n\n\n

\u4e00\u3001\u51b3\u7b56\u3001\u4fe1\u5ff5\u4e0e\u884c\u4e3a\u504f\u5dee<\/strong><\/h2>\n\n\n\n
\n

\ud83d\udca1\u51b3\u7b56\u3001\u4fe1\u5ff5\u4e0e\u884c\u4e3a\u504f\u5dee<\/strong>\u8fd9\u4e9b\u504f\u5dee\u591a\u534a\u4f1a\u5f71\u54cd\u4fe1\u5ff5\u7684\u5f62\u6210\u3001\u5546\u4e1a\u4e0e\u7ecf\u6d4e\u51b3\u7b56\u3001\u4ee5\u53ca\u5176\u4ed6\u4e00\u822c\u7684\u4eba\u7c7b\u884c\u4e3a\u5b83\u4eec\u662f\u53ef\u590d\u5236\u4e0e\u518d\u73b0\u7684\uff0c\u9762\u4e34\u7279\u5b9a\u60c5\u5883\u65f6\uff0c\u4e00\u822c\u53ef\u9884\u671f\u4eba\u4eec\u4f1a\u6709\u76f8\u5e94\u7684\u504f\u5dee\u503e\u5411\u3002<\/p>\n<\/blockquote>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

1. \u4e0d\u660e\u786e\u6027\u6548\u5e94 Ambiguity Effect<\/h3>\n\n\n\n

\u6211\u4eec\u503e\u5411\u4e8e\u907f\u514d\u672a\u77e5\uff0c\u51b3\u7b56\u65f6\u907f\u5f00\u8d44\u8baf\u4e0d\u8db3\u7684\u9009\u9879\uff0c\u901a\u8fc7\u6dfb\u52a0\u660e\u786e\u7684\u7ec6\u8282\u6765\u6700\u5927\u7a0b\u5ea6\u5730\u51cf\u5c11\u6b67\u4e49\uff0c\u4ece\u800c\u63d0\u9ad8\u8f6c\u5316\u7387<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

CTA \u6309\u94ae\u5e94\u5728\u5176\u65c1\u8fb9\u5305\u542b\u4fe1\u606f\u6027\u6807\u7b7e\uff0c\u4ee5\u6e05\u9664\u4e0d\u786e\u5b9a\u6027\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

2. \u951a\u5b9a\u6548\u5e94 Anchoring Effect<\/h3>\n\n\n\n

\u4eba\u7c7b\u5728\u8fdb\u884c\u51b3\u7b56\u65f6\uff0c\u4f1a\u8fc7\u5ea6\u504f\u91cd\u5148\u524d\u53d6\u5f97\u7684\u8d44\u8baf\uff08\u8fd9\u79f0\u4e3a\u951a\u70b9\uff09\uff0c\u5373\u4f7f\u8fd9\u4e2a\u8d44\u8baf\u4e0e\u8fd9\u9879\u51b3\u5b9a\u65e0\u5173\u3002\u5728\u8fdb\u884c\u51b3\u7b56\u65f6\uff0c\u4eba\u7c7b\u503e\u5411\u4e8e\u5229\u7528\u6b64\u7247\u6bb5\u8d44\u8baf\uff08\u951a\u70b9\uff09\uff0c\u5feb\u901f\u505a\u51fa\u51b3\u5b9a\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u901a\u5e38\u88ab\u5229\u7528\u5728\u6d88\u8d39\u573a\u666f\u4e2d\u7684\u8ba4\u77e5\u504f\u5dee\uff0c\u901a\u8fc7\u524d\u540e\u5bf9\u6bd4\u6765\u653e\u5927\u4f18\u60e0\u611f\u77e5\uff0c\u8fdb\u800c\u4fc3\u8fdb\u7528\u6237\u505a\u51fa\u6709\u5229\u4e8e\u6211\u4eec\u7684\u51b3\u7b56\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

3. \u6ce8\u610f\u529b\u504f\u5dee Attentional Bias<\/h3>\n\n\n\n

\u5728\u68c0\u67e5\u6240\u6709\u53ef\u80fd\u7684\u7ed3\u679c\u65f6\uff0c\u6211\u4eec\u503e\u5411\u4e8e\u5173\u6ce8\u4e00\u4e9b\u770b\u8d77\u6765\u5408\u7406\u4e14\u719f\u6089\u7684\u4e8b\u7269\uff0c\u4ece\u800c\u5ffd\u7565\u4e86\u5176\u4ed6\u7ed3\u679c\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u4f60\u662f\u5426\u53d1\u5e03\u8fc7\u4e00\u9879\u4f60\u8ba4\u4e3a\u4f1a\u9020\u6210\u610f\u5916\u540e\u679c\u7684\u529f\u80fd\uff0c\u7136\u540e\u4f60\u5c31\u53ea\u76ef\u7740\u8fd9\u4e2a\u540e\u679c\uff1f<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

4. \u83b7\u5f97\u6027\u542f\u53d1 Availability Heuristic<\/h3>\n\n\n\n

\u6211\u4eec\u8ba4\u4e3a\u90a3\u4e9b\u8fc5\u901f\u8dc3\u5165\u8111\u6d77\u7684\u4e8b\u60c5\u6bd4\u90a3\u4e9b\u4e0d\u5bb9\u6613\u60f3\u8d77\u7684\u4e8b\u60c5\u66f4\u4e3a\u5e38\u89c1\u548c\u91cd\u8981\u3002\u56e0\u6b64\uff0c\u6700\u8fd1\u53d1\u751f\u7684\u3001\u9891\u7e41\u53d1\u751f\u7684\u3001\u6781\u7aef\u7684\u3001\u88ab\u8bb0\u4f4f\u7684\u4e8b\u60c5\u6bd4\u5927\u591a\u6570\u4fe1\u606f\u66f4\u6709\u5f71\u54cd\u529b\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u901a\u8fc7\u521b\u5efa\u4e00\u4e9b\u4e0e\u4f17\u4e0d\u540c\u7684\u4e1c\u897f\uff08\u5728\u4e0d\u5f71\u54cd\u4e00\u81f4\u6027\u548c\u719f\u6089\u5ea6\u7684\u60c5\u51b5\u4e0b\uff09\u8ba9\u4f60\u7684\u8bbe\u8ba1\u88ab\u8bb0\u4f4f\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

5. \u53ef\u83b7\u6027\u5c42\u53e0 Availability Heuristic<\/h3>\n\n\n\n

\u8fd9\u4e2a\u5fc3\u7406\u6548\u5e94\u6709\u4e00\u4e2a\u66f4\u7b80\u5355\u7684\u63cf\u8ff0\uff0c\u53eb\u505a\u4e09\u4eba\u6210\u864e\uff0c\u4e5f\u5c31\u662f\u4e00\u4ef6\u4e8b\u8d8a\u5e38\u88ab\u516c\u5f00\u8c08\u8bba\uff0c\u4eba\u4eec\u5c31\u8d8a\u76f8\u4fe1\u8fd9\u4ef6\u4e8b\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u521b\u5efa\u4e00\u4e2a\u9192\u76ee\u7684\u6807\u8bed\uff0c\u5e76\u786e\u4fdd\u91cd\u590d\u591a\u6b21\u3002\u5982\u679c\u53ef\u80fd\uff0c\u8fd9\u4e2a\u6807\u8bed\u4ee5\u62bc\u97f5\u7ed3\u5c3e\u4f1a\u66f4\u597d\u3002<\/p>\n\n\n\n

6. \u9006\u706b\u6548\u5e94 Backfire Effect<\/h3>\n\n\n\n

\u6211\u4eec\u4e0d\u80fd\u8f7b\u6613\u6539\u53d8\u4eba\u4eec\u7684\u4fe1\u5ff5\uff1a\u4e0e\u6839\u6df1\u8482\u56fa\u7684\u4fe1\u5ff5\u76f8\u53cd\u7684\u8bc1\u636e\u548c\u8bba\u636e\u65e0\u6d4e\u4e8e\u4e8b\uff0c\u53ea\u4f1a\u5de9\u56fa\u4fe1\u5ff5\u7684\u5730\u4f4d\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u901a\u8fc7\u60c5\u611f\u8fa9\u8bba\u6765\u5f71\u54cd\u4ed6\u4eba\u7684\u884c\u4e3a\uff0c\u4e0d\u8981\u5c1d\u8bd5\u76f4\u63a5\u6539\u53d8\u4ed6\u4eec\u7684\u4fe1\u5ff5\u3002<\/p>\n\n\n\n

7. \u4ece\u4f17\u6548\u5e94 Bandwagon Effect<\/h3>\n\n\n\n

\u6211\u4eec\u7ecf\u5e38\u4f1a\u56e0\u4e3a\u5927\u591a\u6570\u4eba\u4ee5\u540c\u4e00\u79cd\u65b9\u5f0f\u601d\u8003\uff0c\u800c\u6539\u53d8\u6211\u4eec\u81ea\u5df1\u7684\u60f3\u6cd5\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u6211\u4eec\u5728\u8bbe\u8ba1\u4e2d\u53ef\u4ee5\u8425\u9020\u51fa\u4e00\u79cd\u7fa4\u4f53\u9009\u62e9\u7684\u6548\u679c\u6765\u5438\u5f15\u66f4\u591a\u7684\u7528\u6237\uff0c\u901a\u8fc7\u5c55\u793a\u8d2d\u4e70\u4eba\u6570\u548c\u6eda\u52a8\u64ad\u653e\u8d2d\u4e70\u4fe1\u606f\u6765\u4f53\u73b0\u51fa\u8be5\u5546\u54c1\u7684\u70ed\u95e8\uff0c\u8ba9\u6b63\u5728\u72b9\u8c6b\u7684\u7528\u6237\u300c\u968f\u5927\u6d41\u300d\u4e0b\u5355\u8d2d\u4e70\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

8. \u4fe1\u5ff5\u504f\u5dee Belief Bias<\/h3>\n\n\n\n

\u6211\u4eec\u66f4\u503e\u5411\u4e8e\u63a5\u53d7\u4e0e\u6211\u4eec\u7684\u5148\u9a8c\u77e5\u8bc6\u76f8\u7b26\u7684\u8bba\u70b9\uff0c\u800c\u62d2\u7edd\u5bf9\u8be5\u8bba\u70b9\u7684\u53cd\u9a73\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u8c08\u8bba\u4ea7\u54c1\u7684\u597d\u5904\u65f6\uff0c\u4e0d\u8981\u5938\u5927\u5176\u8bcd\u3002\u5982\u679c\u5b83\u597d\u5230\u8ba9\u4eba\u65e0\u6cd5\u76f8\u4fe1\uff0c\u90a3\u4e48\u4eba\u4eec\u5c06\u4e0d\u4f1a\u76f8\u4fe1\u5b83\u3002<\/p>\n\n\n\n

9. \u9009\u62e9\u652f\u6301\u504f\u5dee Choice-Supportive Bias<\/h3>\n\n\n\n

\u505a\u51fa\u51b3\u5b9a\u540e\uff0c\u6211\u4eec\u503e\u5411\u4e8e\u79f0\u8d5e\u6211\u4eec\u9009\u62e9\u7684\u9009\u9879\uff0c\u7136\u540e\u964d\u7ea7\u5176\u4ed6\u9009\u9879\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u7528\u6237\u505a\u51fa\u8d2d\u4e70\u51b3\u5b9a\u5e76\u6210\u529f\u8fbe\u6210\u4ea4\u6613\u4e4b\u540e\uff0c\u662f\u7528\u6237\u5206\u4eab\u4ea7\u54c1\uff08\u6216\u6dfb\u52a0\u8bc4\u8bba\uff09\u7684\u7edd\u4f73\u65f6\u673a\uff1b\u663e\u793a\u80af\u5b9a\u7684\u4fe1\u606f\uff0c\u5e76\u795d\u8d3a\u4ed6\u4eec\u8fbe\u6210\u4e86\u8fd9\u4e00\u6b65\u9aa4\u4ee5\u6fc0\u52b1\u7528\u6237\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

10. \u786e\u8ba4\u504f\u5dee Confirmation Bias<\/h3>\n\n\n\n

\u5f53\u4eba\u4eec\u672c\u6765\u5c31\u6301\u6709\u67d0\u79cd\u89c2\u70b9\u65f6\uff0c\u5bf9\u8fd9\u79cd\u89c2\u70b9\u7684\u611f\u77e5\u548c\u6ce8\u610f\u5ea6\u4f1a\u88ab\u653e\u5927\uff0c\u4f1a\u9009\u62e9\u6027\u5730\u56de\u5fc6\u6216\u6536\u96c6\u5173\u4e8e\u5b83\u7684\u4e8b\u4f8b\u3002\u4eba\u4eec\u5bf9\u4e8e\u81ea\u5df1\u539f\u672c\u5c31\u76f8\u4fe1\u7684\u89c2\u70b9\u4f1a\u66f4\u5bb9\u6613\u63a5\u53d7\uff0c\u800c\u628a\u53cd\u9762\u89c2\u70b9\u6401\u7f6e\u5728\u4e00\u65c1\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u7528\u6237\u7814\u7a76\u4e2d\uff0c\u5f53\u4f60\u7684\u9884\u8bbe\u60f3\u6cd5\u662f\u7528\u6237\u5bf9A\u8bbe\u8ba1\u7684\u6ee1\u610f\u5ea6\u6bd4B\u8bbe\u8ba1\u66f4\u9ad8\u65f6\uff0c\u5728\u7814\u7a76\u4e2d\u4f60\u53ef\u80fd\u4f1a\u66f4\u5173\u6ce8\u7528\u6237\u63d0\u5230\u7684A\u8bbe\u8ba1\u7684\u4f18\u70b9\u3001\u6536\u96c6\u66f4\u591a\u7528\u6237\u5bf9\u4e8eA\u8bbe\u8ba1\u7684\u6b63\u9762\u8bc4\u4ef7\u3002\u5f53\u7528\u6237\u8868\u793a\u5bf9A\u8bbe\u8ba1\u6ee1\u610f\u65f6\uff0c\u4f1a\u89c9\u5f97\u201c\u679c\u7136\u662f\u8fd9\u6837\u201d\u3002\u8fd9\u79cd\u504f\u8bef\u4f1a\u8ba9\u4f60\u9057\u6f0f\u8bb8\u591a\u5176\u5b83\u4fe1\u606f\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

11 \u77e5\u8bc6\u7684\u8bc5\u5492 Curse of Knowledge<\/h3>\n\n\n\n

\u5f53\u6211\u4eec\u662f\u67d0\u4e2a\u9886\u57df\u7684\u4e13\u5bb6\u65f6\uff0c\u4f1a\u4e0d\u77e5\u4e0d\u89c9\u5047\u8bbe\u5176\u4ed6\u4eba\u548c\u6211\u4eec\u5177\u6709\u76f8\u540c\u7684\u7406\u89e3\u80fd\u529b\uff0c\u5c24\u5176\u662f\u5bf9\u4e8e\u4e13\u4e1a\u672f\u8bed\u7684\u4f7f\u7528\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u8003\u8651\u4e00\u4e0b\u5927\u591a\u6570\u7528\u6237\uff0c\u4ed6\u4eec\u7684\u6280\u672f\u6c34\u5e73\u53ef\u80fd\u4e0d\u5982\u4f60\u60f3\u8c61\u7684\u90a3\u6837\uff0c\u5e76\u4e14\u5bf9\u4f60\u719f\u6089\u7684\u4e8b\u7269\u4e5f\u4e0d\u592a\u719f\u6089\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

12. \u8bf1\u9975\u6548\u5e94 Decoy Effect<\/h3>\n\n\n\n

\u5f15\u5165\u7b2c\u4e09\u4e2a\u9009\u9879\u4f86\u52a0\u5f3a\u65e7\u9009\u9879\u7684\u5438\u5f15\u529b\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5047\u8bbe\u6709\u4ea7\u54c1 A \u548c B\uff0c\u4ee5\u4e0b\u662f\u987e\u5ba2\u53ef\u4ee5\u9009\u62e9\u7684\u9009\u9879\uff1a<\/p>\n\n\n\n

(1) \u00a5100 – A<\/p>\n\n\n\n

(2) \u00a5300 – B<\/p>\n\n\n\n

(3) \u00a5300 – A + B<\/p>\n\n\n\n

\u5728\u8fd9\u4e2a\u60c5\u666f\uff0c\uff082\uff09\u662f\u201c\u8bf1\u9975\u201d\uff0c\u7528\u6765\u5f15\u5bfc\u987e\u5ba2\u9009\u62e9\u201c\u76ee\u6807\u9009\u9879\u201d\uff083\uff09\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

13. \u5dee\u5f02\u504f\u5dee Distinction Bias<\/h3>\n\n\n\n

\u5728\u6709\u6bd4\u8f83\u9879\u5b58\u5728\u7684\u65f6\u5019\uff0c\u6211\u4eec\u5bf9\u5fae\u5c0f\u7684\u5dee\u5f02\u53d8\u5f97\u654f\u611f\uff0c\u800c\u5b9e\u9645\u4e0a\uff0c\u8fd9\u4e9b\u5dee\u5f02\u5e76\u4e0d\u662f\u5f88\u5927\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u7ade\u4e89\u5bf9\u624b\u65c1\u8fb9\u5c55\u793a\u4f60\u7684\u4ea7\u54c1\u4f18\u52bf\uff0c\u4ee5\u4fbf\u7528\u6237\u6ce8\u610f\u5230\u5dee\u5f02\uff0c\u5373\u4f7f\u662f\u4e00\u4e2a\u5f88\u5c0f\u7684\u5dee\u5f02\u3002<\/p>\n\n\n\n

14. \u7980\u8d4b\u6548\u5e94 Endowment Effect<\/h3>\n\n\n\n

\u548c\u6ca1\u6709\u62e5\u6709\u7684\u7269\u54c1\u76f8\u6bd4\uff0c\u7528\u6237\u66f4\u503e\u5411\u4e8e\u4fdd\u7559\u81ea\u5df1\u62e5\u6709\u7684\u7269\u54c1\u3002\u4ed6\u4eec\u503e\u5411\u4e8e\u9ad8\u4f30\u81ea\u5df1\u62e5\u6709\u7684\u4e1c\u897f\uff0c\u800c\u5ffd\u7565\u5176\u5ba2\u89c2\u7684\u5e02\u573a\u4ef7\u503c\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u7980\u8d4b\u6548\u5e94\u662f\u635f\u5931\u89c4\u907f\uff08loss aversion\uff09\u7684\u4e00\u79cd\u8868\u73b0\u5f62\u5f0f\uff0c\u514d\u8d39\u8bd5\u7528\u662f\u7980\u8d4b\u6548\u5e94\u7684\u6700\u5e38\u89c1\u7528\u6cd5\u3002 \u4e00\u65e6\u7528\u6237\u5f00\u59cb\u4f7f\u7528\u67d0\u79cd\u4ea7\u54c1\u5e76\u6295\u5165\u4e86\u4e00\u6bb5\u65f6\u95f4\uff0c\u90a3\u4e48\u5728\u8bd5\u7528\u671f\u7ed3\u675f\u65f6\uff0c\u4ed6\u4eec\u5f88\u96be\u653e\u624b\u800c\u505c\u6b62\u4f7f\u7528\u3002\u5f53\u7528\u6237\u51c6\u5907\u79bb\u5f00\u65f6\uff0c\u4ed6\u4eec\u4f1a\u89c9\u5f97\u81ea\u5df1\u5373\u5c06\u5931\u53bb\u5f88\u591a\u7f8e\u597d\u7684\u4e8b\u7269\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

15. \u529f\u80fd\u56fa\u7740 Functional Fixedness<\/h3>\n\n\n\n

\u6307\u4e2a\u4f53\u5728\u89e3\u51b3\u95ee\u9898\u65f6\u5f80\u5f80\u53ea\u770b\u5230\u67d0\u79cd\u4e8b\u7269\u7684\u901a\u5e38\u529f\u80fd\uff0c\u800c\u770b\u4e0d\u5230\u5b83\u5176\u4ed6\u65b9\u9762\u53ef\u80fd\u6709\u7684\u529f\u80fd\u3002\u8fd9\u662f\u4eba\u4eec\u957f\u671f\u4ee5\u6765\u5f62\u6210\u7684\u5bf9\u67d0\u4e9b\u4e8b\u7269\u7684\u529f\u80fd\u6216\u7528\u9014\u7684\u56fa\u5b9a\u770b\u6cd5\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5f53\u4ea7\u54c1\u6311\u6218\u5230\u73b0\u6709\u7684\u4f7f\u7528\u4f20\u7edf\u65f6\uff0c\u53ef\u80fd\u4f1a\u5f15\u8d77\u4e00\u4e9b\u53ef\u7528\u6027\u6311\u6218\u3002 \u8bf7\u786e\u4fdd\u8fdb\u884c\u53ef\u7528\u6027\u6d4b\u8bd5\uff0c\u5e76\u5c1d\u8bd5\u63d0\u524d\u89e3\u51b3\u8fd9\u4e9b\u6f5c\u5728\u7684\u95ee\u9898\u3002<\/p>\n\n\n\n

16. \u5df4\u7eb3\u59c6\u6548\u5e94 Barnum Effect<\/h3>\n\n\n\n

\u4e5f\u79f0\u4f5b\u745e\u6548\u5e94\u3002\u4eba\u4eec\u4f1a\u5bf9\u4e8e\u4ed6\u4eec\u8ba4\u4e3a\u662f\u4e3a\u81ea\u5df1\u91cf\u8eab\u5b9a\u505a\u7684\u4e00\u4e9b\u4eba\u683c\u63cf\u8ff0\u7ed9\u4e88\u9ad8\u5ea6\u51c6\u786e\u7684\u8bc4\u4ef7\uff0c\u800c\u8fd9\u4e9b\u63cf\u8ff0\u5f80\u5f80\u5341\u5206\u6a21\u7cca\u53ca\u666e\u904d\uff0c\u4ee5\u81f4\u80fd\u591f\u653e\u8bf8\u56db\u6d77\u7686\u51c6\u9002\u7528\u4e8e\u5f88\u591a\u4eba\u8eab\u4e0a\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u4ea7\u54c1\u6587\u6848\u4e2d\uff0c\u5c3d\u91cf\u907f\u514d\u4f7f\u7528\u201c\u5927\u5bb6\u201d\uff0c\u201c\u7528\u6237\u201d\u7b49\u63cf\u8ff0\uff0c\u4f7f\u7528\u8bf8\u5982\u201c\u4f60\u201d\uff0c\u201c\u4f60\u7684\u201d\u4e4b\u7c7b\u7684\u53ef\u4ee5\u66f4\u8d34\u8fd1\u7528\u6237\uff0c\u4eba\u4eec\u7406\u89e3\u89c4\u8303\u6027\u4fe1\u606f\u65f6\uff0c\u5b58\u5728\u4e00\u79cd\u9009\u62e9\u6027\u4ee3\u5165\u611f\uff0c\u8fd9\u79cd\u4ee3\u5165\u611f\u4f1a\u8ba9\u4eba\u65e0\u610f\u8bc6\u5730\u4e13\u6ce8\u4e8e\u9009\u62e9\u8d34\u5408\u81ea\u5df1\u8ba4\u77e5\u548c\u7ecf\u9a8c\uff0c\u4ece\u800c\u4ea7\u751f\u4e00\u79cd\u201c\u6211\u4e5f\u662f\u8fd9\u6837\u201d\u7684\u5f52\u5c5e\u611f\u3002<\/p>\n\n\n\n

17. \u6846\u67b6\u6548\u5e94 Framing Effect<\/h3>\n\n\n\n

\u6846\u67b6\u6548\u5e94\u7684\u610f\u4e49\u662f\uff0c\u9762\u5bf9\u540c\u4e00\u4e2a\u7684\u95ee\u9898\uff0c\u5728\u4f7f\u7528\u4e0d\u540c\u7684\u63cf\u8ff0\u540e\uff0c\u4eba\u4eec\u4f1a\u9009\u62e9\u4e4d\u542c\u4e4b\u4e0b\u8f83\u6709\u5229\u6216\u987a\u8033\u7684\u63cf\u8ff0\u4f5c\u4e3a\u65b9\u6848\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u6b63\u5411\u8868\u8fbe\uff08\u4f8b\u5982\u73bb\u7483\u676f\u5df2\u6ee1\u4e00\u534a\uff09\u7684\u8f6c\u6362\u7387\u4f1a\u66f4\u9ad8\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

18. \u9891\u7387\u9519\u89c9 Frequency Illusion<\/h3>\n\n\n\n

\u9996\u6b21\u5f15\u8d77\u6211\u4eec\u6ce8\u610f\u540e\uff0c\u6211\u4eec\u5f88\u5feb\u5c31\u4f1a\u4ece\u5f88\u591a\u5730\u65b9\u6ce8\u610f\u5230\u76f8\u5173\u4fe1\u606f\u3002 \u4f8b\u5982\uff0c\u5982\u679c\u67d0\u4eba\u60f3\u8d2d\u4e70\u4e00\u8f86\u65b0\u8f66\uff0c\u901a\u5e38\u4f1a\u7a81\u7136\u53d1\u73b0\u5230\u5904\u90fd\u662f\u8fd9\u8f86\u8f66\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u63a8\u52a8\u5e7f\u544a\u7cfb\u5217\u65f6\uff0c\u4f7f\u8bbf\u95ee\u8005\u5728\u4e0d\u540c\u7684\u8425\u9500\u6e20\u9053\u4e2d\u63a5\u89e6\u76f8\u540c\u7684\u5185\u5bb9\uff0c\u8ba9\u522b\u4eba\u89c9\u5f97\u4f60\u7684\u4ea7\u54c1\u5468\u56f4\u90fd\u662f\uff0c\u52a0\u6df1\u8fd9\u79cd\u65b0\u4ea7\u54c1\u7684\u5370\u8c61\u3002<\/p>\n\n\n\n

19. \u540e\u89c1\u4e4b\u660e\u504f\u5dee Hindsight Bias<\/h3>\n\n\n\n

\u540e\u89c6\u504f\u89c1\u4f1a\u8ba9\u4eba\u6c89\u8ff7\u4e8e\u201c\u6211\u65e9\u5c31\u9884\u6599\u5230\u4e86\u201d\u8fd9\u79cd\u611f\u53d7\u5f53\u4e2d\uff0c\u65e0\u6cd5\u771f\u6b63\u4ece\u4e8b\u4ef6\u4e2d\u6c72\u53d6\u5230\u6709\u7528\u7684\u7ecf\u9a8c\uff0c\u4e5f\u96be\u4ee5\u7528\u516c\u5e73\u7684\u773c\u5149\u6765\u8bc4\u5224\u5ba2\u89c2\u4e8b\u7269\u548c\u4ed6\u4eba\uff0c\u4e3b\u89c2\u4e0a\u4e5f\u5f88\u5bb9\u6613\u9009\u62e9\u6027\u5730\u5ffd\u7565\u8bb8\u591a\u5ba2\u89c2\u4e8b\u5b9e\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u540e\u89c6\u504f\u89c1\u4f1a\u7ed9\u4eba\u5e26\u6765\u5feb\u611f\uff0c\u4f46\u4e5f\u4f1a\u5728\u5de5\u4f5c\u4e2d\u5f71\u54cd\u51b3\u7b56\u7684\u6b63\u786e\u6027\u548c\u516c\u5e73\u6027\uff0c\u4ece\u800c\u5e26\u6765\u6f5c\u5728\u98ce\u9669\u3002\u7ea0\u6b63\u540e\u89c6\u504f\u89c1\u7684\u65b9\u6cd5\u5c31\u662f\u5728\u77e5\u9053\u4e8b\u60c5\u7ed3\u679c\u4e4b\u524d\uff0c\u8bb0\u5f55\u4e0b\u81ea\u5df1\u7684\u60f3\u6cd5\uff0c\u4e8b\u540e\u505a\u9a8c\u8bc1\u5e76\u7edf\u8ba1\u76f8\u5173\u6570\u636e\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

20. \u5f53\u4e0b\u504f\u5dee Current Moment Bias<\/h3>\n\n\n\n

\u53c8\u79f0\u73b0\u65f6\u504f\u5dee\uff0c\u4eba\u4eec\u66f4\u503e\u5411\u4e8e\u83b7\u53d6\u5373\u65f6\u6536\u76ca\uff0c\u800c\u975e\u672a\u6765\u7684\u66f4\u5927\u6536\u76ca\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u4e3a\u7528\u6237\u7684\u7acb\u5373\u8d2d\u4e70\u63d0\u4f9b\u5c0f\u6298\u6263\uff08\u6216\u514d\u8d39\u9001\u8d27\uff09\uff0c\u800c\u975e\u627f\u8bfa\u4ed6\u4eec\u5728\u5c06\u6765\u8d2d\u4e70\u65f6\u63d0\u4f9b\u66f4\u5927\u7684\u6298\u6263\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

21. \u53ef\u8fa8\u8bc6\u53d7\u5bb3\u8005\u6548\u5e94 Identifiable Victim Effect<\/h3>\n\n\n\n

\u6211\u4eec\u503e\u5411\u4e8e\u540c\u60c5\u4e00\u4e2a\u7279\u5b9a\u7684\u4eba\u800c\u4e0d\u662f\u533f\u540d\u7684\u67d0\u4e00\u4e2a\u4eba\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u8bb2\u4ea7\u54c1\u6545\u4e8b\u65f6\uff0c\u8bf7\u4f7f\u7528\u4e2a\u4f53\u6848\u4f8b\uff0c\u800c\u975e\u4e00\u822c\u6027\u9648\u8ff0\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

22. \u5b9c\u5bb6\u6548\u5e94 IKEA Effect<\/h3>\n\n\n\n

\u5b9c\u5bb6\u6548\u5e94\u662f\u6307\u4eba\u4eec\u503e\u5411\u4e8e\u9ad8\u5ea6\u8bc4\u4ef7\u4ed6\u4eec\u53c2\u4e0e\u521b\u9020\u7684\u4ea7\u54c1\uff0c\u6d88\u8d39\u8005\u5bf9\u4e8e\u4e00\u4e2a\u7269\u54c1\u4ed8\u51fa\u7684\u52b3\u52a8\uff08\u60c5\u611f\uff09\u8d8a\u591a\uff0c\u5c31\u8d8a\u5bb9\u6613\u9ad8\u4f30\u8be5\u7269\u54c1\u7684\u4ef7\u503c\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5229\u7528\u5b9c\u5bb6\u6548\u5e94\u63d0\u9ad8\u7528\u6237\u7c98\u6027\u7684\u6838\u5fc3\u662f\u521b\u9020\u4f4e\u6295\u5165\u3001\u9ad8\u56de\u62a5\u3001\u9ad8\u8d21\u732e\u4ef7\u503c\u7684\u4efb\u52a1\uff0c\u4fdd\u8bc1\u7528\u6237\u80fd\u591f\u5b8c\u6210\u4efb\u52a1\u7684\u57fa\u7840\u4e0a\u8d21\u732e\u81ea\u5df1\u7684\u4ef7\u503c\u3002\u5728\u5b66\u4e60\u573a\u666f\u4e2d\u6211\u4eec\u53ef\u4ee5\u5229\u7528\u5b9c\u5bb6\u6548\u5e94\u63d0\u9ad8\u7528\u6237\u7c98\u6027\uff0c\u5c06\u7528\u6237\u7559\u4e0b\u6765\u575a\u6301\u5b66\u4e60\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

23. \u5f71\u54cd\u529b\u504f\u5dee Impact Bias<\/h3>\n\n\n\n

\u6211\u4eec\u503e\u5411\u4e8e\u9ad8\u4f30\u672a\u6765\u60c5\u7eea\u72b6\u6001\u7684\u6301\u7eed\u65f6\u95f4\u6216\u5f3a\u5ea6\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u63cf\u7ed8\u5728\u6ca1\u6709\u4f60\u7684\u4ea7\u54c1\u6216\u670d\u52a1\u4e0b\u7528\u6237\u4f1a\u906d\u9047\u7684\u95ee\u9898\uff0c\u7136\u540e\uff0c\u4ecb\u7ecd\u4f60\u7684\u4ea7\u54c1\u4f1a\u5982\u4f55\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u3002<\/p>\n\n\n\n

24. \u8d44\u8baf\u504f\u5dee Information Bias<\/h3>\n\n\n\n

\u56e0\u6d4b\u91cf\u8bef\u5dee\u6240\u5bfc\u81f4\u7684\u4e00\u79cd\u504f\u8bef\u73b0\u8c61\uff0c\u6709\u65f6\u4ea6\u79f0\u4e3a\u89c2\u5bdf\u504f\u8bef\u6216\u5206\u7ec4\u9519\u8bef\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u5c55\u793a\u4ea7\u54c1\u6216\u670d\u52a1\u65f6\uff08\u5728\u7f51\u7ad9\u4e0a\u6216app\u5185\uff09\uff0c\u8bf7\u786e\u4fdd\u9644\u6709\u8be6\u7ec6\u8bf4\u660e\u7684\u7167\u7247\u3002 \u5728\u4ea7\u54c1\u8bf4\u660e\u4e2d\u83b7\u5f97\u7684\u4fe1\u606f\u8d8a\u591a\uff0c\u7528\u6237\u83b7\u5f97\u7684\u4fdd\u8bc1\u5c31\u8d8a\u5927\u3002<\/p>\n\n\n\n

25. \u6c89\u6ca1\u6210\u672c\u8c2c\u8bef Sunk Cost Fallacy<\/h3>\n\n\n\n

\u6211\u4eec\u5728\u67d0\u4ef6\u4e8b\u4e0a\u6295\u5165\u8d8a\u591a\u5c31\u8d8a\u96be\u653e\u5f03\u5b83\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u5f80\u5f80\u4f1a\u7ee7\u7eed\u6267\u884c\u8fd9\u4e2a\u8d70\u5411\u5931\u8d25\u7684\u884c\u52a8\uff0c\u4ec5\u4ec5\u662f\u56e0\u4e3a\u6211\u4eec\u8fc7\u53bb\u5df2\u7ecf\u5728\u6b64\u6295\u5165\u4e86\u8fc7\u591a\u7684\u65f6\u95f4\u3001\u91d1\u94b1\u6216\u7cbe\u529b\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5f53\u6e38\u620f\u73a9\u5bb6\u652f\u4ed8\u4e86\u6bcf\u670830\u5143\u7684\u4f1a\u5458\u8d39\u65f6\uff0c\u5f88\u591a\u4eba\u4f1a\u5f3a\u8feb\u81ea\u5df1\u7ee7\u7eed\u73a9\u6e38\u620f\uff0c\u56e0\u4e3a\u4ed6\u4eec\u5df2\u7ecf\u5728\u865a\u62df\u6e38\u620f\u4e2d\u6295\u5165\u4e86\u5927\u91cf\u65f6\u95f4\u548c\u91d1\u94b1\u3002<\/p>\n\n\n\n

26. \u635f\u5931\u8d8b\u907f Loss Aversion<\/h3>\n\n\n\n

\u6307\u4eba\u4eec\u9762\u5bf9\u540c\u6837\u6570\u91cf\u7684\u6536\u76ca\u548c\u635f\u5931\u65f6\uff0c\u8ba4\u4e3a\u635f\u5931\u66f4\u52a0\u4ee4\u4ed6\u4eec\u96be\u4ee5\u5fcd\u53d7\u3002\u635f\u5931\u5e26\u6765\u7684\u8d1f\u6548\u7528\u4e3a\u6536\u76ca\u6b63\u6548\u7528\u76842\u81f32.5\u500d\u3002\u635f\u5931\u538c\u6076\u53cd\u6620\u4e86\u4eba\u4eec\u7684\u98ce\u9669\u504f\u597d\u5e76\u4e0d\u662f\u4e00\u81f4\u7684\uff0c\u5f53\u6d89\u53ca\u7684\u662f\u6536\u76ca\u65f6\uff0c\u4eba\u4eec\u8868\u73b0\u4e3a\u98ce\u9669\u538c\u6076\uff1b\u5f53\u6d89\u53ca\u7684\u662f\u635f\u5931\u65f6\uff0c\u4eba\u4eec\u5219\u8868\u73b0\u4e3a\u98ce\u9669\u5bfb\u6c42\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u9650\u5236\u7279\u4ef7\u4ea4\u6613\u7684\u65f6\u95f4\u4ee5\u4ea7\u751f\u7d27\u8feb\u611f\uff1a\u201c\u6b64\u4f18\u60e0\u5728x\u5c0f\u65f6\u5185\u7ed3\u675f\u201d\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

27. \u5355\u7eaf\u63a5\u89e6\u6548\u5e94 Mere Exposure Effect<\/h3>\n\n\n\n

\u4eba\u4eec\u4f1a\u5355\u7eaf\u56e0\u4e3a\u81ea\u5df1\u719f\u6089\u67d0\u4e2a\u4e8b\u7269\u800c\u4ea7\u751f\u597d\u611f\u3002\u5b83\u8868\u660e\u67d0\u4e00\u5916\u5728\u523a\u6fc0\uff0c\u4ec5\u4ec5\u56e0\u4e3a\u5448\u73b0\u7684\u6b21\u6570\u8d8a\u9891\u7e41\uff08\u4f7f\u4e2a\u4f53\u80fd\u591f\u63a5\u89e6\u5230\u8be5\u523a\u6fc0\u7684\u673a\u4f1a\u8d8a\u591a\uff09\uff0c\u4e2a\u4f53\u5bf9\u8be5\u523a\u6fc0\u5c06\u8d8a\u559c\u6b22\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u575a\u6301\u4f7f\u7528\u7528\u6237\u719f\u6089\u7684 UI \u6982\u5ff5\u3001\u884c\u4e3a\u3001\u672f\u8bed\u3001\u7b26\u53f7\u548c\u56fe\u6807\u3002\u5728\u8425\u9500\u6750\u6599\u3001\u7f51\u7ad9\u548c\u4ea7\u54c1\u4e0a\u4fdd\u6301\u4e00\u81f4\u6765\u4f18\u5316\u6f0f\u6597\uff0c\u7528\u8bcd\u4fdd\u6301\u548c\u884c\u4e1a\u672f\u8bed\u4e00\u81f4\uff0c\u786e\u4fdd\u4f60\u7684\u7528\u6237\u611f\u5230\u8212\u9002\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

28. \u8d1f\u9762\u504f\u5dee Negativity Bias<\/h3>\n\n\n\n

\u76f8\u6bd4\u4e8e\u4e2d\u6027\u6216\u8005\u79ef\u6781\u7684\u4e8b\u7269\uff0c\u5177\u6709\u8d1f\u9762\u5f71\u54cd\u7684\u4e8b\u7269\u5bf9\u4eba\u4eec\u7684\u5fc3\u7406\u5f71\u54cd\u66f4\u5927\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u901a\u8fc7\u89e3\u51b3\u8d1f\u9762\u4f53\u9a8c\u6765\u8bf4\u660e\u4f60\u7684\u4ea7\u54c1\u4ef7\u503c\uff0c\u5982\u679c\u5e0c\u671b\u81ea\u5df1\u7684\u6545\u4e8b\u80fd\u591f\u4ea7\u751f\u66f4\u5927\u7684\u5f71\u54cd,\u5c31\u8981\u5c1d\u8bd5\u591a\u5c55\u73b0\u60c5\u611f\u4e0a\u8d1f\u9762\u7684\u5185\u5bb9\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

29. \u5ffd\u7565\u53ef\u80fd\u6027 Neglect of Probability<\/h3>\n\n\n\n

\u5f53\u6211\u4eec\u627f\u53d7\u538b\u529b\u65f6\uff0c\u6211\u4eec\u6ca1\u6709\u60f3\u5230\u98ce\u9669\u53d1\u751f\u7684\u53ef\u80fd\u6027\u3002\u7ed3\u679c\uff0c\u8f83\u5c0f\u7684\u98ce\u9669\u53ef\u80fd\u4f1a\u88ab\u9ad8\u4f30\u6216\u88ab\u5ffd\u7565\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u8f6c\u6362\u6f0f\u6597\u4e2d\uff0c\u6700\u5c0f\u7684\u4e0d\u786e\u5b9a\u6027\u53ef\u80fd\u5bfc\u81f4\u7528\u6237\u5bf9\u4ea7\u54c1\u7684\u4e0d\u4fe1\u4efb\u5e76\u505c\u6b62\u4f7f\u7528\u3002 \u9700\u8981\u786e\u4fdd\u6240\u6709\u7ec6\u8282\u5747\u6e05\u6670\u660e\u4e86\u5e76\u9884\u5148\u663e\u793a\uff0c\u5c24\u5176\u662f\u6d89\u53ca\u91d1\u94b1\u7684\u4e8b\u7269\uff0c\u4f8b\u5982\u603b\u6210\u672c\uff0c\u6298\u6263\uff08\u5982\u679c\u5b58\u5728\uff09\uff0c\u9644\u52a0\u6210\u672c\u7b49\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

30. \u4e50\u89c2\u504f\u5dee Optimism Bias<\/h3>\n\n\n\n

\u4e0e\u522b\u4eba\u76f8\u6bd4\uff0c\u6211\u4eec\u7ecf\u5e38\u9ad8\u4f30\u81ea\u5df1\u6210\u529f\u7684\u51e0\u7387\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u8bf7\u786e\u4fdd\u4ea7\u54c1\u6ca1\u6709\u9690\u85cf\u4efb\u4f55\u53ef\u80fd\u7834\u574f\u4e50\u89c2\u504f\u89c1\u7684\u4ee4\u4eba\u4e0d\u6109\u5feb\u7684\u529f\u80fd\uff08\u4f8b\u5982\u989d\u5916\u7684\u8d39\u7528\uff0c\u53ef\u80fd\u7684\u5ef6\u8bef\u7b49\uff09\u3002<\/p>\n\n\n\n

31. \u9e35\u9e1f\u6548\u5e94 Ostrich Effect<\/h3>\n\n\n\n

\u6211\u4eec\u6545\u610f\u907f\u514d\u8d1f\u9762\u4fe1\u606f\uff08\u6216\u4e0e\u6211\u4eec\u7684\u671f\u671b\u4e0d\u4e00\u81f4\u7684\u53cd\u9988\uff09\uff0c\u8ba4\u4e3a\u5982\u679c\u6211\u4eec\u628a\u5934\u57cb\u5728\u6c99\u5b50\u91cc\uff0c\u5b83\u4eec\u5c31\u4f1a\u6d88\u5931\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u4e0e\u5ba2\u6237\u652f\u6301\u4e00\u8d77\u5e76\u80a9\u5de5\u4f5c\uff0c\u4e3b\u52a8\u53bb\u770b\u4ec0\u4e48\u8ba9\u7528\u6237\u56f0\u60d1\uff0c\u4ece\u5904\u7406\u7528\u6237\u6295\u8bc9\u4e2d\u53ef\u4ee5\u5b66\u5230\u5f88\u591a\u4e1c\u897f\u3002<\/p>\n\n\n\n

32. \u89c4\u5212\u8c2c\u8bef Planning Fallacy<\/h3>\n\n\n\n

\u6211\u4eec\u503e\u5411\u4e8e\u4f4e\u4f30\u5b8c\u6210\u4e00\u9879\u4efb\u52a1\u6240\u9700\u7684\u65f6\u95f4\uff0c\u901a\u5e38\u89c4\u5212\u8c2c\u8bef\u4f1a\u5bfc\u81f4\u65f6\u95f4\u8d85\u652f\uff0c\u6210\u672c\u8d85\u652f\u6216\u6536\u76ca\u4e0d\u8db3\u3002\u5c06\u5927\u578b\u4efb\u52a1\u5206\u89e3\u4e3a\u8f83\u5c0f\u7684\u90e8\u5206\u6709\u52a9\u4e8e\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5c06\u4f60\u7684\u521d\u59cb\u4f30\u7b97\u503c\u4e58\u4ee52\uff0c\u4e0d\uff0c\u5b9e\u9645\u4e0a\u662f3\u3002\u8fd9\u6837\u505a\u4e0d\u662f\u56e0\u4e3a\u4f60\u61d2\u60f0\uff0c\u800c\u662f\u56e0\u4e3a\u4f60\u7684\u4f30\u8ba1\u53ef\u80fd\u662f\u9519\u8bef\u7684\u3002<\/p>\n\n\n\n

33. \u5bf9\u6297\u5fc3\u7406 Reactance<\/h3>\n\n\n\n

\u5f53\u6211\u4eec\u611f\u5230\u67d0\u4eba\uff08\u6216\u67d0\u7269\uff09\u8bd5\u56fe\u5265\u593a\u6216\u9650\u5236\u6211\u4eec\u7684\u9009\u62e9\u65f6\uff0c\u5bf9\u6297\u5fc3\u7406\u5c31\u4f1a\u53d1\u751f\u3002 \u5f53\u5b83\u53d1\u751f\u65f6\uff0c\u6211\u4eec\u6709\u4e00\u79cd\u62b5\u5236\u5b83\u5e76\u91c7\u53d6\u76f8\u53cd\u884c\u52a8\u7684\u51b2\u52a8\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5f53\u4f60\u4e0e\u7528\u6237\u201c\u4e89\u8bba\u201d\u4ed6\u7684\u9009\u62e9\u65f6\u8981\u5c0f\u5fc3\uff0c\u8bf4\u670d\u5bf9\u65b9\u65f6\u5fc5\u987b\u5faa\u5faa\u5584\u8bf1\uff0c\u6c38\u8fdc\u4e0d\u8981\u4e0e\u7528\u6237\u76f4\u63a5\u5bf9\u6297\u3002<\/p>\n\n\n\n

34. \u81ea\u5236\u504f\u5dee Restraint Bias<\/h3>\n\n\n\n

\u4eba\u4eec\u7ecf\u5e38\u4f1a\u9ad8\u4f30\u81ea\u5df1\u63a7\u5236\u51b2\u52a8\u884c\u4e3a\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u6211\u4eec\u90fd\u8ba4\u4e3a\u201c\u6807\u9898\u515a\u201d\u5c5e\u4e8e\u65c1\u95e8\u5de6\u9053\uff0c\u4f46\u6211\u4eec\u8fd8\u662f\u9677\u5165\u5176\u4e2d\uff0c\u4e0d\u662f\u5417\uff1f<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

35. \u97f5\u5f8b\u5f53\u7406\u7531\u6548\u5e94 Rhyme as Reason Effect<\/h3>\n\n\n\n

\u4eba\u4eec\u4f1a\u66f4\u5bb9\u6613\u628a\u6709\u97f5\u5f8b\u7684\u3001\u62bc\u97f5\u7684\u53e5\u5b50\uff0c\u5f53\u4f5c\u662f\u771f\u5b9e\u548c\u51c6\u786e\u7684\u3002\u4e00\u53e5\u8bdd\u53ea\u8981\u53d8\u5f97\u6709\u97f5\u5f8b\u4e86\uff0c\u90a3\u4e48\u5c31\u66f4\u6709\u8bf4\u670d\u529b\u4e86\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5927\u90e8\u5206\u5e7f\u544a\u8bed\u90fd\u6717\u6717\u4e0a\u53e3\uff0c\u975e\u5e38\u6d17\u8111\u3002<\/p>\n\n\n\n

\u6240\u4ee5\uff0c\u5c3d\u53ef\u80fd\u7684\u628a\u4f60\u7684\u4ea7\u54c1\u6587\u6848\u53d8\u5f97\u6709\u97f5\u5f8b\u611f\uff0c\u8fd9\u6837\u66f4\u5bb9\u6613\u8bf4\u670d\u7528\u6237\u3002<\/p>\n\n\n\n

36. \u98ce\u9669\u8865\u507f Risk Compensation<\/h3>\n\n\n\n

\u4e5f\u79f0\u4f69\u5c14\u5179\u66fc\u6548\u5e94\u3002\u5f53\u6211\u4eec\u611f\u89c9\u5230\u66f4\u5927\u7684\u98ce\u9669\u65f6\uff0c\u6211\u4eec\u4f1a\u53d8\u5f97\u66f4\u52a0\u8c28\u614e\uff0c\u800c\u5f53\u6211\u4eec\u53d7\u5230\u66f4\u591a\u4fdd\u62a4\u65f6\uff0c\u6211\u4eec\u5c31\u4f1a\u6ca1\u90a3\u4e48\u8c28\u614e\u3002<\/p>\n\n\n\n

\u6240\u4ee5\u5f53\u6211\u4eec\u77e5\u9053\u5728\u5df2\u7ecf\u91c7\u53d6\u4e86\u5f88\u591a\u5b89\u5168\u63aa\u65bd\u4ee5\u540e\uff0c\u6211\u4eec\u66f4\u6709\u53ef\u80fd\u91c7\u53d6\u5192\u9669\u7684\u65b9\u5f0f\u884c\u4e8b\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u8d2d\u4e70\u6216\u6ce8\u518c\u524d\u8ba9\u7528\u6237\u5bf9\u4ea7\u54c1\u4ea7\u751f\u5c3d\u53ef\u80fd\u7684\u5b89\u5168\u611f\uff0c\u8ba9\u4ed6\u4eec\u83b7\u5f97\u4fe1\u5fc3\u548c\u4fe1\u4efb\u3002<\/p>\n\n\n\n

37. \u9009\u62e9\u6027\u77e5\u89c9 Selective Perception<\/h3>\n\n\n\n

\u6211\u4eec\u5bf9\u4e8b\u7269\u7684\u770b\u6cd5\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d7\u5230\u671f\u671b\u7684\u5f71\u54cd\uff0c\u5f53\u4eba\u4eec\u96c6\u4e2d\u6ce8\u610f\u529b\u65f6\uff0c\u4eba\u4eec\u4f1a\u4ece\u73af\u5883\u4e2d\u8fc7\u6ee4\u6389\u4e8b\u7269\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u4ea7\u54c1\u7684\u8f6c\u5316\u6f0f\u6597\u5e76\u6ca1\u6709\u5728\u7528\u6237\u767b\u5f55\u65f6\u5f00\u59cb\uff0c\u800c\u662f\u5728\u7528\u6237\u9996\u6b21\u770b\u5230\u4f60\u7684\u5e7f\u544a\u65f6\u5c31\u5f00\u59cb\u4e86\u3002\u8425\u9500\u4fe1\u606f\u4e0e\u4ea7\u54c1\u63d0\u4f9b\u5185\u5bb9\u4e4b\u95f4\u7684\u4e0d\u4e00\u81f4\u4f1a\u8ba9\u4f60\u7684\u7528\u6237\u5927\u5931\u6240\u671b\uff0c\u4ece\u800c\u5bfc\u81f4\u8f6c\u5316\u7387\u7684\u4e0b\u964d\u3002\u5728\u6240\u6709\u5a92\u4ecb\u4e0a\uff08\u6f0f\u6597\u7684\u5404\u4e2a\u9636\u6bb5\uff09\u7684\u6d88\u606f\u4e00\u81f4\u5c06\u4e3a\u7528\u6237\u5e26\u6765\u6b63\u786e\u7684\u671f\u671b\uff0c\u4ece\u800c\u63d0\u9ad8\u8f6c\u5316\u7387\u3002<\/p>\n\n\n\n

38. \u5e78\u5b58\u8005\u504f\u5dee Survivorship Bias<\/h3>\n\n\n\n

\u8fc7\u5ea6\u5173\u6ce8\u5e78\u5b58\u4e0b\u6765\u7684\u4eba\u6216\u4e8b\u7269\uff0c\u5ffd\u7565\u90a3\u4e9b\u88ab\u7b5b\u9009\u6389\u7684\u4eba\u6216\u4e8b\u7269\uff08\u53ef\u80fd\u56e0\u4e3a\u65e0\u6cd5\u89c2\u5bdf\u5230\uff09\uff0c\u4ece\u800c\u5f97\u51fa\u9519\u8bef\u7684\u7ed3\u8bba\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u5728\u9700\u6c42\u5206\u6790\u548c\u8c03\u7814\u8fc7\u7a0b\u4e2d\uff0c\u5982\u679c\u5ffd\u89c6\u4e86\u5e78\u5b58\u8005\u504f\u5dee\uff0c\u5f88\u6709\u53ef\u80fd\u641c\u96c6\u5230\u7684\u6570\u636e\uff0c\u4f53\u73b0\u7684\u4ec5\u4ec5\u53ea\u662f\u5c11\u90e8\u5206\u7528\u6237\u7684\u9700\u6c42\u548c\u60f3\u6cd5\uff0c\u6700\u7ec8\u5c06\u4f2a\u9700\u6c42\u548c\u5c0f\u4f17\u9700\u6c42\u5f53\u4f5c\u4e3b\u8981\u9700\u6c42\u6765\u4f5c\u4e3a\u8bbe\u8ba1\uff0c\u4ece\u800c\u8ba9\u4ea7\u54c1\u4ece\u4e00\u5f00\u59cb\u5c31\u8d70\u5411\u4e07\u52ab\u4e0d\u590d\u3002<\/p>\n\n\n\n

39. \u96f6\u98ce\u9669\u504f\u5dee Zero-Risk Bias<\/h3>\n\n\n\n

\u6211\u4eec\u559c\u6b22\u786e\u5b9a\u6027\uff0c\u5373\u4f7f\u5b83\u9002\u5f97\u5176\u53cd\u3002\u5728\u6709\u5176\u4ed6\u65b9\u6848\u53ef\u4ee5\u964d\u4f4e\u6574\u4e2a\u98ce\u9669\u7684\u60c5\u5f62\u4e0b\uff0c\u4ecd\u503e\u5411\u4e8e\u5b8c\u5168\u6d88\u9664\u67d0\u4e00\u9879\u98ce\u9669\u7684\u504f\u89c1\u3002\u4e00\u4e2a\u4f8b\u5b50\u662f\u523b\u610f\u964d\u4f4e\u4e2a\u4eba\u8d1f\u8d23\u9886\u57df\u7684\u98ce\u9669\uff0c\u53ef\u662f\u4ee3\u4ef7\u662f\u6574\u4e2a\u7ec4\u7ec7\u98ce\u9669\u7684\u4e0a\u5347\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u63d0\u4f9b\u9000\u6b3e\u4fdd\u8bc1\u548c\u65e0\u98ce\u9669\u8bd5\u7528\uff0c\u4ee5\u964d\u4f4e\u98ce\u9669\u6c34\u5e73\uff0c\u4f7f\u4f60\u7684\u7528\u6237\u611f\u5230\u5b89\u5168\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

40. \u611f\u77e5\u4ef7\u503c\u504f\u5dee Perceived Value Bias<\/h3>\n\n\n\n

\u6211\u4eec\u6839\u636e\u4ea7\u54c1\u7684\u5916\u89c2\u6216\u670d\u52a1\u65b9\u5f0f\u6765\u611f\u77e5\u5176\u4ef7\u503c\u3002\u6b63\u5982\u4eba\u4eec\u6240\u8bf4\uff1a\u5168\u90e8\u5728\u5305\u88c5\u4e2d\uff01<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u8bbe\u8ba1\u5bf9\u4e8e\u4ea7\u54c1\u7684\u6210\u529f\u6bd4\u4f60\u60f3\u8c61\u7684\u66f4\u4e3a\u91cd\u8981\uff0c\u591a\u4f59\u7684\u7a7a\u95f4\uff0c\u9519\u8bef\u7684\u8fb9\u6846\u989c\u8272\u548c\u672a\u5bf9\u9f50\u7684\u6587\u5b57\uff0c\u90fd\u4f1a\u5f71\u54cd\u8f6c\u5316\u7387\uff0c\u786e\u4fddUI\u8bbe\u8ba1\u7684\u4f18\u5148\u7a0b\u5ea6\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

41. \u5206\u6790\u762b\u75ea Analysis Paralysis<\/h3>\n\n\n\n

\u53c8\u79f0\u9009\u62e9\u8d85\u8f7d\u3002\u5f53\u51fa\u73b0\u592a\u591a\u9009\u62e9\u65f6\uff0c\u6211\u4eec\u7684\u5927\u8111\u5c31\u4f1a\u762b\u75ea\uff0c\u5f88\u96be\u8fdb\u884c\u9009\u62e9\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u9009\u62e9\u592a\u591a = \u8f6c\u6362\u7387\u4f4e<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

42. \u7a00\u7f3a\u6548\u5e94 Scarcity Effect<\/h3>\n\n\n\n

\u6211\u4eec\u5c06\u7a00\u7f3a\u7269\u54c1\u7684\u4ef7\u503c\u63d0\u9ad8\uff0c\u5c06\u9ad8\u53ef\u7528\u6027\u7269\u54c1\u7684\u4ef7\u503c\u964d\u4f4e\u3002<\/p>\n\n\n\n

\u5bb3\u6015\u9519\u8fc7\uff08FOMO: fear of missing out \uff09\u4f7f\u6211\u4eec\u66f4\u5bb9\u6613\u53d7\u5230\u8bf1\u60d1\u548c\u51b2\u52a8\uff0c\u5e76\u4fc3\u4f7f\u6211\u4eec\u505a\u51fa\u8f7b\u7387\u7684\u51b3\u5b9a\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

\u4f7f\u7528\u201c\u9650\u65f6\u4f18\u60e0\u201d\uff0c\u201c\u6709\u9650\u6570\u91cf\u201d \u7b49\u4fee\u8f9e\u6765\u5f62\u5bb9\u4f60\u7684\u4ea7\u54c1\u6216\u670d\u52a1\u3002\u7ed9\u4eba\u7684\u5370\u8c61\u662f\u8bb8\u591a\u4eba\u6b63\u89c2\u770b\u6b64\u9879\u76ee\uff0c\u5e76\u968f\u65f6\u53ef\u4ee5\u62a2\u8d70\u6700\u540e\u7684\u51e0\u4ef6\u7269\u54c1\u3002<\/p>\n\n\n\n

\"\"\/<\/div><\/figure>\n\n\n\n

43. \u6d41\u7545\u6027\u542f\u53d1 Fluency Heuristic<\/h3>\n\n\n\n

\u6211\u4eec\u8ba4\u4e3a\u90a3\u4e9b\u5904\u7406\u901f\u5ea6\u66f4\u5feb\u3001\u66f4\u6d41\u7545\u3001\u66f4\u987a\u5229\u7684\u4e8b\u7269\u5177\u6709\u66f4\u9ad8\u7684\u4ef7\u503c\u3002\u6709\u65f6\u4e0d\u5408\u903b\u8f91\u7684\u8bba\u70b9\u5728\u6c9f\u901a\u826f\u597d\u7684\u60c5\u51b5\u4e0b\uff08\u7531\u6709\u6743\u5a01\u548c\u7ecf\u9a8c\u7684\u4eba\u63d0\u51fa\uff09\u4e5f\u53ef\u80fd\u4f1a\u8d62\u5f97\u80dc\u5229\u3002<\/p>\n\n\n\n

\ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

    \n
  • \u4e3a\u7528\u6237\u63d0\u4f9b\u4fbf\u5229\uff08\u5feb\u6377\u3001\u7b80\u5355\u548c\u6613\u4e8e\u7406\u89e3\u7684\u5bfc\u822a\uff09<\/li>\n\n\n\n
  • \u4f7f\u5185\u5bb9\u6613\u4e8e\u6d4f\u89c8\uff08\u56fe\u50cf\uff0c\u6613\u8bfb\u7684\u5b57\u4f53\uff09<\/li>\n\n\n\n
  • \u521b\u5efa\u201c\u5fc3\u7406\u6377\u5f84\u201d\uff0c\u5b83\u5c06\u5438\u5f15\u7528\u6237\uff0c\u4fc3\u4f7f\u4ed6\u4eec\u628a\u4f60\u7684\u4ea7\u54c1\u4f5c\u4e3a\u9996\u9009<\/li>\n\n\n\n
  • \u63d0\u4f9b\u6709\u610f\u4e49\u7684\u9ed8\u8ba4\u9009\u9879\uff0c\u56e0\u4e3a\u7528\u6237\u4f1a\u8ba4\u4e3a\u4f60\u8003\u8651\u4e86\u4ed6\u4eec\u7684\u6700\u5927\u5229\u76ca\uff0c\u5e76\u5c06\u5c3d\u53ef\u80fd\u9009\u62e9\u9ed8\u8ba4\u9009\u9879<\/li>\n\n\n\n
  • \u6dfb\u52a0\u529f\u80fd\u5f3a\u5927\u7684\u8de8\u4ea7\u54c1\u641c\u7d22\uff0c\u4ee5\u7b80\u5316\u7279\u5b9a\u4e3b\u9898\u7684\u67e5\u627e<\/li>\n<\/ul>\n\n\n\n
    \"\"\/<\/div><\/figure>\n\n\n\n

    \u4e8c\u3001\u793e\u4f1a\u504f\u5dee<\/strong><\/h2>\n\n\n\n
    \n

    \ud83d\udc6b\u793e\u4f1a\u504f\u5dee<\/strong>\u8fd9\u4e9b\u504f\u5dee\u5927\u591a\u662f\u7531\u5f52\u56e0\u504f\u5dee\u5bfc\u81f4\u3002<\/p>\n<\/blockquote>\n\n\n\n

    \"\"\/<\/div><\/figure>\n\n\n\n

    44. \u884c\u52a8\u8005-\u89c2\u5bdf\u8005\u504f\u5dee Actor-Observer Bias<\/h3>\n\n\n\n

    \u884c\u52a8\u8005\u559c\u6b22\u5c06\u4ed6\u4eec\u81ea\u5df1\u7684\u884c\u4e3a\u5f52\u56e0\u4e8e\u60c5\u5883\u6027\u56e0\u7d20\uff0c\u800c\u89c2\u5bdf\u8005\u559c\u6b22\u5c06\u540c\u6837\u7684\u884c\u4e3a\u5f52\u56e0\u4e8e\u884c\u52a8\u8005\u7a33\u5b9a\u7684\u4eba\u683c\u7d20\u8d28\u3002<\/p>\n\n\n\n

    \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

    \u6211\u4eec\u4f1a\u7528\u5916\u5728\u3001\u4e0d\u53ef\u63a7\u7684\u60c5\u5883\u6027\u539f\u56e0\u6765\u89e3\u91ca\u81ea\u5df1\u7684\u884c\u4e3a\uff0c\u6bd4\u5982\u4e0a\u73ed\u8fdf\u5230\u662f\u56e0\u4e3a\u8def\u4e0a\u51fa\u4e86\u610f\u5916\u3002\u4f46\u662f\u5f53\u6211\u4eec\u4f5c\u4e3a\u89c2\u5bdf\u8005\uff0c\u8bd5\u56fe\u5bf9\u522b\u4eba\u7684\u884c\u4e3a\u8fdb\u884c\u89e3\u91ca\u65f6\uff0c\u6211\u4eec\u4f1a\u7528\u5185\u5728\u7684\u3001\u7a33\u5b9a\u7684\u4eba\u683c\u539f\u56e0\u6765\u89e3\u91ca\uff0c\u6bd4\u5982\u4e0a\u73ed\u8fdf\u5230\u662f\u56e0\u4e3a\u4ed6\u61d2\u3001\u6ca1\u6709\u65f6\u95f4\u89c2\u5ff5\u3002<\/p>\n\n\n\n

    45. \u8fbe\u514b\u6548\u5e94 Dunning\u2013Kruger Effect<\/h3>\n\n\n\n

    \u6211\u4eec\u65e0\u6cd5\u8ba4\u8bc6\u5230\u6211\u4eec\u7f3a\u4e4f\u80fd\u529b\uff0c\u5e76\u4e14\u7531\u4e8e\u65e0\u6cd5\u5206\u8fa8\u80fd\u529b\u597d\u4e0e\u80fd\u529b\u5dee\u7684\u4e0d\u540c\uff0c\u56e0\u800c\u8ba4\u4e3a\u5927\u5bb6\u90fd\u4e00\u6837\u3002<\/p>\n\n\n\n

    \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

      \n
    • \u80fd\u529b\u5dee\u7684\u4eba\u901a\u5e38\u4f1a\u9ad8\u4f30\u81ea\u5df1\u7684\u6280\u80fd\u6c34\u5e73\uff1b<\/li>\n\n\n\n
    • \u80fd\u529b\u5dee\u7684\u4eba\u4e0d\u80fd\u6b63\u786e\u8ba4\u8bc6\u5230\u5176\u4ed6\u771f\u6b63\u6709\u6b64\u6280\u80fd\u7684\u4eba\u7684\u6c34\u5e73<\/li>\n\n\n\n
    • \u80fd\u529b\u5dee\u7684\u4eba\u65e0\u6cd5\u8ba4\u77e5\u4e14\u6b63\u89c6\u81ea\u8eab\u7684\u4e0d\u8db3\uff0c\u53ca\u5176\u4e0d\u8db3\u4e4b\u6781\u7aef\u7a0b\u5ea6\uff1b<\/li>\n\n\n\n
    • \u5982\u679c\u80fd\u529b\u5dee\u7684\u4eba\u80fd\u591f\u7ecf\u8fc7\u6070\u5f53\u8bad\u7ec3\u5927\u5e45\u5ea6\u63d0\u9ad8\u80fd\u529b\u6c34\u5e73\uff0c\u4ed6\u4eec\u6700\u7ec8\u4f1a\u8ba4\u77e5\u5230\u4e14\u80fd\u627f\u8ba4\u4ed6\u4eec\u4e4b\u524d\u7684\u65e0\u80fd\u7a0b\u5ea6\u3002<\/li>\n<\/ul>\n\n\n\n
      \"\"\/<\/div><\/figure>\n\n\n\n

      46. \u9519\u8bef\u5171\u8bc6\u6548\u5e94 False Consensus Effect<\/h3>\n\n\n\n

      \u4eba\u4eec\u503e\u5411\u4e8e\u9ad8\u4f30\u522b\u4eba\u5bf9\u81ea\u5df1\u7684\u8ba4\u540c\u7a0b\u5ea6\uff0c\u60f3\u8c61\u5176\u4ed6\u4eba\u50cf\u6211\u4eec\u4e00\u6837\uff0c\u5e76\u5206\u4eab\u6211\u4eec\u7684\u89c2\u70b9\uff0c\u4fe1\u5ff5\uff0c\u504f\u597d\uff0c\u4ef7\u503c\u89c2\u548c\u4e60\u60ef\uff0c\u8ba4\u4e3a\u6240\u6709\u4eba\u4ee5\u540c\u6837\u7684\u65b9\u5f0f\u601d\u8003\u3002<\/p>\n\n\n\n

      \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

      \u5728\u6ca1\u6709\u6d89\u8db3\u653f\u575b\uff08\u6216\u7279\u5b9a\u56fd\u5bb6\uff09\u7684\u60c5\u51b5\u4e0b\uff0c\u4f60\u6700\u8fd1\u5bf9\u4f60\u6240\u5728\u56fd\u5bb6\u7684\u9009\u4e3e\u7ed3\u679c\u662f\u5426\u611f\u5230\u60ca\u8bb6\uff1f<\/p>\n\n\n\n

      47. \u57fa\u672c\u5f52\u56e0\u8c2c\u8bef Fundamental Attribution Error<\/h3>\n\n\n\n

      \u89e3\u91ca\u4ed6\u4eba\u884c\u4e3a\u65f6\uff0c\u5f52\u56e0\u4e8e\u5185\u5728\u7279\u8d28\uff08\u4e00\u5b9a\u662f\u4ed6\u6709\u8fd9\u6837\u7684\u4eba\u683c\uff0c\u624d\u505a\u51fa\u8fd9\u6837\u7684\u884c\u4e3a\uff09\uff0c\u800c\u975e\u5916\u5728\u60c5\u5883\uff08\u4e5f\u8bb8\u662f\u60c5\u52bf\u6240\u8feb\uff0c\u6216\u8fd9\u4e2a\u573a\u6240\u6709\u7279\u6b8a\u7684\u6f5c\u89c4\u5219\uff09\u3002\u57fa\u672c\u5f52\u56e0\u8c2c\u8bef\u662f\u77db\u76fe\u548c\u95ee\u9898\u7684\u5e38\u89c1\u6765\u6e90\uff0c\u800c\u4e14\u8fd9\u79cd\u8ba4\u77e5\u504f\u5dee\u5b58\u5728\u4e8e\u7528\u6237\u4e5f\u540c\u6837\u5b58\u5728\u4e8e\u8bbe\u8ba1\u5e08\u672c\u8eab\u3002<\/p>\n\n\n\n

      \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

      \u9700\u8981\u8bbe\u8ba1\u5e08\u80fd\u591f\u6e05\u695a\u5730\u5206\u8fa8\u300c\u6211\u7684\u89c2\u70b9\u300d\u548c\u300c\u6211\u7684\u884c\u4e3a\u300d\uff0c\u80fd\u591f\u771f\u6b63\u5c06\u81ea\u5df1\u4ece\u81ea\u5df1\u6240\u5904\u7684\u7acb\u573a\u3001\u89d2\u8272\u3001\u804c\u80fd\u4e0a\u62bd\u79bb\u51fa\u6765\uff0c\u590d\u76d8\u6574\u4e2a\u5c40\u9762\u3002\u9996\u5148\u63a5\u7eb3\u5168\u90e8\u7684\u73b0\u5b9e\uff0c\u5305\u62ec\u4ed6\u4eba\u7684\u60f3\u6cd5\u3001\u89c2\u70b9\uff0c\u5148\u4e0d\u53bb\u5224\u65ad\u5bf9\u9519\uff0c\u660e\u767d\u4e8b\u7269\u7684\u52a8\u6001\u53d8\u5316\u8fc7\u7a0b\u3002\u4e0d\u8981\u518d\u5355\u4e00\u5730\u53bb\u5224\u65ad\uff0c\u56e0\u4e3a\u4efb\u4f55\u4e00\u4e2a\u89c6\u89d2\u5fc5\u7136\u4f1a\u5b58\u5728\u4e00\u4e2a\u7acb\u573a\uff0c\u5b83\u4eec\u662f\u5f53\u524d\u4e8b\u7269\u8bf8\u591a\u5c42\u9762\u4e2d\u7684\u4e00\u65b9\u9762\u800c\u5df2\u3002<\/p>\n\n\n\n

      48. \u6655\u8f6e\u6548\u5e94 Halo Effect<\/h3>\n\n\n\n

      \u6655\u8f6e\u6548\u5e94\u662f\u6307\u4f7f\u7528\u4e00\u4e2a\u4eba\uff08\u6216\u4e8b\u7269\uff09\u7684\u4e00\u79cd\u54c1\u8d28\u6765\u5bf9\u8be5\u4eba\u6216\u4e8b\u7269\u8fdb\u884c\u6574\u4f53\u5224\u65ad\uff0c\u6362\u53e5\u8bdd\u8bf4\uff0c\u6211\u4eec\u5bf9\u4e00\u4e2a\u4eba\u3001\u4e00\u4e2a\u4ea7\u54c1\u3001\u4e00\u5bb6\u516c\u53f8\u6216\u4e00\u4e2a\u54c1\u724c\u7684\u6700\u521d\u5370\u8c61\u4f1a\u5f71\u54cd\u6211\u4eec\u5bf9\u5176\u6574\u4f53\u7279\u5f81\u7684\u89e3\u8bfb\u3002<\/p>\n\n\n\n

      \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

      \u901a\u8fc7\u4f7f\u7528\u6743\u5a01\u7167\u7247\u548c\u53ef\u5efa\u7acb\u4fe1\u4efb\u5173\u7cfb\u7684\u89c6\u89c9\u6548\u679c\u6765\u5145\u5206\u5229\u7528\u8fd9\u79cd\u5177\u6709\u542f\u53d1\u5f0f\u7684\u65b9\u6cd5\u3002<\/p>\n\n\n\n

      49. \u7fa4\u5185\u504f\u5dee Ingroup Bias<\/h3>\n\n\n\n

      \u7fa4\u5185\u504f\u5dee\u5e38\u88ab\u7528\u6765\u5f15\u5bfc\u7528\u6237\u51b3\u7b56\uff0c\u5b83\u662f\u6307\u4eba\u4eec\u4f1a\u5728\u8ba4\u77e5\u4e0a\u503e\u5411\u4e8e\u81ea\u5df1\u6240\u5c5e\u7684\u7fa4\u4f53\u3002\u5728\u4f53\u9a8c\u8bbe\u8ba1\u4e2d\u5229\u7528\u7fa4\u5185\u504f\u5dee\u7684\u5173\u952e\u70b9\u5728\u4e8e\u6253\u9020\u7fa4\u4f53\u5f52\u5c5e\u611f\uff0c\u501f\u7531\u5c0f\u7fa4\u4f53\u7684\u529b\u91cf\u5f71\u54cd\u7528\u6237\u7684\u51b3\u7b56\u3002<\/p>\n\n\n\n

      \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

      \u6bd4\u5982 Booking \u5728\u67e5\u770b\u8bc4\u8bba\u7684\u533a\u57df\u52a0\u5165\u4e86\u7b5b\u9009\u8bc4\u8bba\u8bed\u8a00\u8fd9\u4e00\u6309\u94ae\uff0c\u867d\u7136\u8bbe\u8ba1\u7684\u672c\u610f\u53ef\u80fd\u662f\u4e3a\u4e86\u65b9\u4fbf\u7528\u6237\u66f4\u597d\u5730\u7406\u89e3\u8bc4\u8bba\u5185\u5bb9\uff0c\u4f46\u662f\u5728\u771f\u5b9e\u7684\u4f7f\u7528\u8fc7\u7a0b\u4e2d\u53ef\u4ee5\u53d1\u73b0\uff0c\u7528\u6237\u66f4\u52a0\u4fe1\u4efb\u81ea\u5df1\u6240\u9009\u6807\u7b7e\u5185\u7684\u8bc4\u8bba\u5185\u5bb9\uff0c\u56e0\u4e3a\u540c\u8bed\u8a00\u5f80\u5f80\u610f\u5473\u7740\u6765\u81ea\u76f8\u540c\u7684\u56fd\u5bb6\u6216\u8005\u76f8\u8fd1\u7684\u6587\u5316\u80cc\u666f\uff0c\u7528\u6237\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\u627e\u5230\u4e00\u4e2a\u5c0f\u7fa4\u4f53\uff0c\u7136\u540e\u88ab\u5f71\u54cd\u8fdb\u800c\u505a\u51fa\u4e0e\u7fa4\u4f53\u5185\u4eba\u4eec\u66f4\u4e3a\u76f8\u4f3c\u7684\u51b3\u7b56\u3002<\/p>\n\n\n\n

      \"\"\/<\/div><\/figure>\n\n\n\n

      50. \u6743\u5a01\u504f\u89c1 Authority Bias<\/h3>\n\n\n\n

      \u6211\u4eec\u8ba4\u4e3a\u6743\u5a01\u4eba\u58eb\u7ed9\u51fa\u7684\u5efa\u8bae\u51c6\u786e\u6027\u66f4\u9ad8\uff0c\u5e76\u4e14\u66f4\u5bb9\u6613\u53d7\u5230\u8be5\u5efa\u8bae\u7684\u5f71\u54cd\uff08\u5373\u4f7f\u4e8b\u7269\u4e3b\u4f53\u4e0e\u8be5\u4eba\u7269\u7684\u6743\u5a01\u6027\u65e0\u5173\uff09<\/p>\n\n\n\n

      \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

      \u901a\u8fc7\u5ba3\u4f20\u4ea7\u54c1\u7684\u77e5\u540d\u63a8\u8350\u6765\u5efa\u7acb\u6743\u5a01:<\/p>\n\n\n\n

        \n
      • \u8054\u7cfb\u6709\u5f71\u54cd\u529b\u7684\u4eba\uff0c\u8ba9\u4ed6\u4eec\u514d\u8d39\u4f7f\u7528\u4f60\u7684\u4ea7\u54c1\u6216\u670d\u52a1<\/li>\n\n\n\n
      • \u7a81\u51fa\u663e\u793a\u77e5\u540d\u5ba2\u6237\u6216\u54c1\u724c<\/li>\n\n\n\n
      • \u5c55\u793a\u6765\u81ea\u793e\u4f1a\u540d\u6d41\u7684\u63a8\u8350\u8bed<\/li>\n\n\n\n
      • \u5728\u4ea7\u54c1\u5c55\u793a\u548c\u9648\u8ff0\u4e2d\u4f7f\u7528\u6743\u5a01\u4eba\u7269\uff08\u4f8b\u5982\u533b\u751f\u3001\u6559\u6388\u7b49\uff09<\/li>\n<\/ul>\n\n\n\n
        \"\"\/<\/div><\/figure>\n\n\n\n

        51. \u5f97\u5bf8\u8fdb\u5c3a\u6cd5 Foot-in-the-Door Technique<\/h3>\n\n\n\n

        \u5f97\u5bf8\u8fdb\u5c3a\u6cd5\u53c8\u8bd1\u767b\u95e8\u574e\u6548\u5e94\uff0c\u662f\u4e00\u79cd\u901a\u8fc7\u5148\u63d0\u51fa\u4e00\u4e2a\u7b80\u5355\u7684\u5c0f\u8bf7\u6c42\u6765\u8bf4\u670d\u7528\u6237\u540c\u610f\u4e00\u4e2a\u8f83\u5927\u8bf7\u6c42\u7684\u529d\u8bf4\u65b9\u6cd5\u3002<\/p>\n\n\n\n

        \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \n
        • \u901a\u8fc7\u63d0\u4f9b\u514d\u8d39\u8bd5\u7528\u4e0e\u7528\u6237\u5efa\u7acb\u8054\u7cfb\u3002<\/li>\n\n\n\n
        • \u4e0d\u8981\u7528\u8fc7\u4e8e\u590d\u6742\u7684\u5f15\u5bfc\u6d41\u7a0b\u8ba9\u7528\u6237\u611f\u5230\u4e0d\u8010\u70e6\u3002<\/li>\n\n\n\n
        • \u628a\u5927\u5757\u7684\u5185\u5bb9\u5206\u89e3\u6210\u5c0f\u5757\u6216\u5bb9\u6613\u89e3\u51b3\u7684\u5185\u5bb9\uff0c\u8ba9\u7528\u6237\u4fdd\u6301\u5f00\u5fc3\u548c\u53c2\u4e0e\u5ea6\u3002<\/li>\n<\/ul>\n\n\n\n
          \"\"\/<\/div><\/figure>\n\n\n\n

          \u4e09\u3001\u8bb0\u5fc6\u9519\u8bef\u4e0e\u504f\u5dee<\/strong><\/h2>\n\n\n\n
          \n

          \ud83c\udff9\u8bb0\u5fc6\u9519\u8bef\u4e0e\u504f\u5dee<\/strong>\u5728\u5fc3\u7406\u5b66\u548c\u8ba4\u77e5\u79d1\u5b66\u4e2d\uff0c\u8bb0\u5fc6\u504f\u5dee\u662f\u4e00\u79cd\u8ba4\u77e5\u504f\u5dee\uff0c\u5bfc\u81f4\u8bb0\u5fc6\u7684\u5f3a\u5316\u3001\u5f31\u5316\uff08\u5305\u62ec\u80fd\u5426\u60f3\u8d77\u7684\u673a\u4f1a\u3001\u60f3\u8d77\u6240\u9700\u7684\u65f6\u95f4\uff0c\u6216\u4e24\u8005\u7686\u6709\uff09\uff0c\u6216\u8005\u8bb0\u5fc6\u5185\u5bb9\u7684\u6539\u53d8\u3002<\/p>\n<\/blockquote>\n\n\n\n

          \"\"\/<\/div><\/figure>\n\n\n\n

          52. \u8c37\u6b4c\u6548\u5e94 Google Effect<\/h3>\n\n\n\n

          \u6211\u4eec\u4f1a\u5bb9\u6613\u5fd8\u8bb0\u53ef\u4ee5\u5728\u7f51\u4e0a\u8f7b\u677e\u627e\u5230\u7684\u4fe1\u606f\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u4f60\u8fd8\u8bb0\u5f97\u4f60\u6700\u597d\u7684\u670b\u53cb\u6216\u5b69\u5b50\u7684\u7535\u8bdd\u53f7\u7801\u5417\uff1f<\/p>\n\n\n\n

          \"\"\/<\/div><\/figure>\n\n\n\n

          53. \u5e7d\u9ed8\u6548\u5e94 Humor Effect<\/h3>\n\n\n\n

          \u5f53\u4fe1\u606f\u88ab\u8ba4\u4e3a\u662f\u6709\u8da3\u6216\u5e7d\u9ed8\u65f6\uff0c\u6211\u4eec\u4f1a\u66f4\u597d\u5730\u8bb0\u4f4f\u4fe1\u606f\u3002\u8fd9\u53ef\u4ee5\u5e2e\u52a9\u63d0\u9ad8\u4ea7\u54c1\u7684\u8f6c\u5316\u7387\uff0c\u5e76\u6709\u52a9\u4e8e\u6574\u4f53\u4e1a\u52a1\u7684\u63d0\u5347\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u5728\u7528\u6237\u53ef\u80fd\u611f\u5230\u6cae\u4e27\u7684\u60c5\u51b5\u4e0b\u4e0d\u8981\u5e7d\u9ed8\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u7684\u5e94\u7528\u4e0e\u65e7\u8bbe\u5907\u4e0d\u517c\u5bb9\uff0c\u8bf7\u4e0d\u8981\u7528\u6709\u8da3\u7684\u65b9\u5f0f\u8bf4\u51fa\u6765\uff0c\u56e0\u4e3a\u6b64\u65f6\u7528\u6237\u53ef\u80fd\u5f88\u6cae\u4e27\uff0c\u65e0\u6cd5\u611f\u77e5\u5e7d\u9ed8\u3002<\/p>\n\n\n\n

          54. \u771f\u76f8\u9519\u89c9\u6548\u5e94 Illusion of Truth Effect<\/h3>\n\n\n\n

          \u91cd\u590d\u7684\u4e8b\u60c5\u8d8a\u591a\uff0c\u6211\u4eec\u5c31\u8d8a\u76f8\u4fe1\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u5728\u5e7f\u544a\uff0c\u7f51\u7ad9\uff0cApp Store\u9875\u9762\uff0c\u767b\u5f55\u9875\uff0c\u65b0\u95fb\u901a\u8baf\u7b49\u4e00\u6b21\u53c8\u4e00\u6b21\u5730\u91cd\u590d\u4f60\u7684\u6d88\u606f\uff08\u4e3b\u8981\u597d\u5904\uff0c\u4e3b\u8981\u533a\u522b\uff09<\/p>\n\n\n\n

          55. \u5cf0\u7ec8\u6cd5\u5219 Peak-End Rule<\/h3>\n\n\n\n

          \u7528\u6237\u4e0d\u4ec5\u4ec5\u6839\u636e\u5e73\u5747\u6216\u6240\u6709\u4f53\u9a8c\u7684\u603b\u548c\u6765\u8bc4\u4f30\u4f53\u9a8c\uff0c\u53d6\u800c\u4ee3\u4e4b\u7684\u662f\uff0c\u4ed6\u4eec\u7684\u5927\u8111\u4f1a\u4e25\u91cd\u5730\u504f\u5411\u5cf0\u503c\uff08\u9ad8\u6216\u4f4e\uff09\u548c\u4f53\u9a8c\u7684\u7ec8\u70b9\uff0c\u5cf0\u503c\u5982\u679c\u662f\u6109\u60a6\u7684\u8bdd\uff0c\u901a\u5e38\u5bf9\u5e94\u4e86\u7528\u6237\u65c5\u7a0b\u4e2d\u4ee4\u4eba\u96be\u5fd8\u7684\u6109\u60a6\u611f\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u901a\u8fc7\u4f7f\u4ea7\u54c1\u7684\u6700\u4f73\u529f\u80fd\u53d8\u5f97\u66f4\u597d\uff0c\u4fdd\u6301\u4ea7\u54c1\u7684\u7ade\u4e89\u4f18\u52bf\u5e76\u63d0\u9ad8\u4ea7\u54c1\u9ad8\u5cf0\u3002\u53e6\u5916\u4e5f\u4e0d\u8981\u5ffd\u89c6\u4ea7\u54c1\u7684\u201c\u8d2d\u4e70\u540e\u201d\u4f53\u9a8c\uff0c\u786e\u4fdd\u4ee5\u7cbe\u6e5b\u7684\u54c1\u5473\u7ed3\u675f\u4f53\u9a8c\u3002<\/p>\n\n\n\n

          \"\"\/<\/div><\/figure>\n\n\n\n

          56. \u56fe\u7247\u4f18\u52bf\u6548\u5e94 Picture Superiority Effect<\/h3>\n\n\n\n

          \u56fe\u7247\u548c\u56fe\u50cf\u6bd4\u4e00\u5343\u4e2a\u5355\u8bcd\u66f4\u5bb9\u6613\u88ab\u8bb0\u4f4f\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u59cb\u7ec8\u5728\u5185\u5bb9\u4e2d\u5305\u542b\u56fe\u50cf\uff0c\u51fa\u8272\u7684\u89c6\u89c9\u6548\u679c\u5c06\u63d0\u9ad8\u8f6c\u5316\u7387\u3002<\/p>\n\n\n\n

          57. \u9996\u56e0\u6548\u5e94 Primacy Effect<\/h3>\n\n\n\n

          \u53c8\u79f0\u8fd1\u65f6\u6548\u5e94\u3001\u5e8f\u4f4d\u6548\u5e94\u3002\u5217\u8868\u5f00\u5934\u548c\u7ed3\u5c3e\u7684\u9879\u76ee\u6bd4\u4e2d\u95f4\u7684\u9879\u76ee\u66f4\u5bb9\u6613\u88ab\u7528\u6237\u8bb0\u4f4f\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u5982\u679c\u4f60\u6253\u7b97\u5c55\u793a\u4e00\u957f\u4e32\u4fe1\u606f\uff0c\u8bf7\u786e\u4fdd\u7b2c\u4e00\u4e2a\u662f\u6700\u91cd\u8981\u7684\u5185\u5bb9\u3002<\/p>\n\n\n\n

          \"\"\/<\/div><\/figure>\n\n\n\n

          58. \u96f7\u65af\u591a\u592b\u6548\u5e94 Von Restorff Effect<\/h3>\n\n\n\n

          \u5f53\u5f88\u591a\u4fe1\u606f\u4e00\u8d77\u5448\u73b0\u65f6\uff0c\u9192\u76ee\u7684\u4fe1\u606f\u548c\u88ab\u7279\u522b\u5f3a\u8c03\u7684\u4fe1\u606f\u4f1a\u6bd4\u5176\u4ed6\u4fe1\u606f\u66f4\u5bb9\u6613\u88ab\u4eba\u4eec\u8bb0\u4f4f\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u786e\u4fddCTA\u6309\u94ae\u4ee5\u4e0d\u540c\u7684\u6837\u5f0f\uff0c\u5927\u5c0f\uff0c\u989c\u8272\u548c\u4f4d\u7f6e\u663e\u793a\u51fa\u6765\uff0c\u4ee5\u8fbe\u5230\u4e0d\u540c\u7684\u76ee\u7684\u3002<\/p>\n\n\n\n

          \"\"\/<\/div><\/figure>\n\n\n\n

          59. \u8521\u683c\u5c3c\u6548\u5e94 Zeigarnik Effect<\/h3>\n\n\n\n

          \u8fdb\u884c\u4e2d\u7684\u4efb\u52a1\u4f1a\u4ea7\u751f\u7279\u5b9a\u4e8e\u4efb\u52a1\u7684\u5f20\u529b\u3002\u5f53\u4efb\u52a1\u5b8c\u6210\u65f6\uff0c\u8fd9\u79cd\u538b\u529b\u53ef\u4ee5\u7f13\u89e3\uff0c\u4f46\u5982\u679c\u4efb\u52a1\u88ab\u4e2d\u65ad\uff0c\u5b83\u5c06\u4fdd\u6301\u4e0d\u53d8\u3002\u8fd9\u79cd\u5f20\u529b\u4f7f\u76f8\u5173\u4fe1\u606f\u66f4\u6613\u4e8e\u8bbf\u95ee\u548c\u8bb0\u5fc6\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u663e\u793a\u4e00\u4e2a\u4e0d\u5b8c\u6574\u7684\u8fdb\u5ea6\u680f\uff0c\u4ee5\u9f13\u52b1\u7528\u6237\u5b9e\u73b0\u81ea\u5df1\u7684\u76ee\u6807\u3002<\/p>\n\n\n\n

          \u56db\u3001\u7edf\u8ba1\u4e0e\u51e0\u7387\u504f\u5dee<\/strong><\/h2>\n\n\n\n
          \n

          \ud83d\udcda\u7edf\u8ba1\u4e0e\u51e0\u7387\u504f\u5dee<\/strong>\u51e0\u7387\u6027\u63a8\u8bba\u662f\u6307\u6839\u636e\u6709\u5173\u51e0\u7387\u7684\u8d44\u8baf\u63a8\u8bba\u4e8b\u60c5\u7684\u53ef\u80fd\u6027\uff0c\u800c\u51e0\u7387\u7684\u4f30\u7b97\u901a\u5e38\u6765\u81ea\u7edf\u8ba1\u8d44\u6599\uff0c\u56e0\u6b64\u4e24\u8005\u5bc6\u4e0d\u53ef\u5206\u3002<\/p>\n<\/blockquote>\n\n\n\n

          \"\"\/<\/div><\/figure>\n\n\n\n

          60. \u57fa\u672c\u6bd4\u7387\u8c2c\u8bef Base Rate fallacy<\/h3>\n\n\n\n

          \u6211\u4eec\u503e\u5411\u4e8e\u5ffd\u7565\u4e00\u822c\u4fe1\u606f\uff0c\u800c\u53ea\u5173\u6ce8\u7279\u5b9a\u6848\u4f8b\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u4e0d\u8981\u53ea\u5206\u4eab\u90a3\u4e9b\u51b7\u51b0\u51b0\u7684\u4ea7\u54c1\u4fe1\u606f\u3002\u76f8\u53cd\u5730\uff0c\u5c55\u793a\u5176\u4ed6\u76f8\u5173\u7528\u6237\u6216\u516c\u53f8\u7684\u8bc4\u4ef7\u3001\u7528\u4f8b\u3002\u5982\u679c\u4f60\u60f3\u66f4\u5177\u6709\u8bf4\u670d\u529b \u2014\u2014 \u628a\u4f60\u7684\u91cf\u5316\u6570\u636e\u548c\u4e00\u4e9b\u4e2a\u4eba\u6545\u4e8b\u76f8\u7ed3\u5408\u3002\u7528\u91cf\u5316\u6570\u636e\u5408\u7406\u5730\u652f\u6301\u4f60\u7684\u89c2\u70b9\u3002\u5177\u4f53\u7684\u4f8b\u5b50\u4f1a\u5728\u60c5\u611f\u4e0a\u4f20\u9012\u4f60\u60f3\u8868\u8fbe\u7684\u4fe1\u606f\u3002<\/p>\n\n\n\n

          61. \u8d4c\u5f92\u8c2c\u8bef Gambler’s Fallacy<\/h3>\n\n\n\n

          \u6211\u4eec\u9519\u8bef\u5730\u8ba4\u4e3a\uff0c\u5982\u679c\u5728\u7ed9\u5b9a\u65f6\u671f\u5185\u67d0\u4ef6\u4e8b\u60c5\u9891\u7e41\u53d1\u751f\uff0c\u90a3\u4e48\u8fd9\u4ef6\u4e8b\u60c5\u5728\u5c06\u6765\u53d1\u751f\u7684\u51e0\u7387\u5c31\u4f1a\u5f88\u5c0f\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u575a\u6301\u4e8b\u5b9e\uff0c\u5c11\u4f9d\u9760\u76f4\u89c9\uff0c\u66f4\u591a\u7684\u4f9d\u9760\u6570\u636e\u3002<\/p>\n\n\n\n

          \"\"\/<\/div><\/figure>\n\n\n\n

          62. \u70ed\u624b\u8c2c\u8bef Hot-Hand Fallacy<\/h3>\n\n\n\n

          \u9519\u8bef\u5730\u8ba4\u4e3a\u7ecf\u5386\u8fc7\u6210\u529f\u7684\u4eba\u66f4\u6709\u53ef\u80fd\u5728\u5176\u4ed6\u5c1d\u8bd5\u4e2d\u8fdb\u4e00\u6b65\u83b7\u5f97\u6210\u529f\u3002\u4e00\u822c\u662f\u5728\u67d0\u4eba\u8fd1\u6765\u505a\u67d0\u4e8b\u5f88\u6210\u529f\u65f6\uff0c\u8ba4\u4e3a\u4ed6\u672a\u6765\u505a\u540c\u4e00\u4ef6\u4e8b\u4e5f\u4f1a\u5f88\u6210\u529f\uff0c\u800c\u5ffd\u7565\u5176\u6210\u529f\u53ef\u80fd\u53ea\u662f\u968f\u673a\u4e0e\u5de7\u5408\u5bfc\u81f4\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u901a\u8fc7\u5f3a\u8c03\u4e00\u7cfb\u5217\u6210\u529f\u6848\u4f8b\u6765\u5efa\u7acb\u81ea\u5df1\u7684\u5f3a\u5927\u54c1\u724c\u3002<\/p>\n\n\n\n

          \"\"\/<\/div><\/figure>\n\n\n\n

          63. \u5bf9\u6837\u672c\u6570\u4e0d\u654f\u9510 Insensitivity to Sample Size<\/h3>\n\n\n\n

          \u6211\u4eec\u7ecf\u5e38\u5ffd\u7565\u6837\u672c\u5927\u5c0f\u5e76\u8d38\u7136\u4e0b\u7ed3\u8bba\uff0c\u5373\u4f7f\u6837\u672c\u6570\u91cf\u8fd8\u672a\u8fbe\u5230\u8db3\u591f\u7684\u7edf\u8ba1\u91cf\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u4e0e\u5ba2\u6237\u6c9f\u901a\u5f88\u91cd\u8981\uff0c\u4f46\u4e0d\u8981\u628a\u4ea7\u54c1\u8bbe\u60f3\u5efa\u7acb\u5728\u51e0\u6b21\u9762\u8c08\u7684\u57fa\u7840\u4e0a\u3002\u4f7f\u7528\u5927\u91cf\u6570\u636e\uff0c\u5e76\u6839\u636e\u5b9e\u9645\u6570\u636e\u800c\u975e\u5047\u8bbe\u6765\u505a\u51fa\u4ea7\u54c1\u51b3\u7b56\u3002<\/p>\n\n\n\n

          \u4e94\u3001\u5b9e\u9a8c\u4e0e\u7814\u7a76\u504f\u5dee<\/strong><\/h2>\n\n\n\n
          \n

          \ud83d\udd2c\u5b9e\u9a8c\u4e0e\u7814\u7a76\u504f\u5dee<\/strong>\u8fd9\u662f\u4e00\u4e9b\u79d1\u5b66\u5b9e\u9a8c\u6216\u7edf\u8ba1\u7814\u7a76\u5bb9\u6613\u53d1\u751f\u7684\u504f\u5dee\u3002<\/p>\n<\/blockquote>\n\n\n\n

          \"\"\/<\/div><\/figure>\n\n\n\n

          64. \u53d6\u6837\u504f\u5dee Sampling Bias<\/h3>\n\n\n\n

          \u67d0\u4e9b\u7c7b\u578b\u7684\u7528\u6237\u88ab\u65e0\u610f\u4e2d\u4ece\u7814\u7a76\u53c2\u4e0e\u8005\u6c60\u4e2d\u5254\u9664\u4e86\u3002\u4ea6\u53ef\u7406\u89e3\u4e3a\u4ee5\u504f\u6982\u5168\uff0c\u5373\u4ee5\u5c40\u90e8\u4e8b\u4f8b\u89e3\u91ca\u6574\u4f53\u539f\u56e0\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u4f60\u6b63\u5728\u8bbe\u8ba1\u81ea\u884c\u8f66\u8ddf\u8e2a\u5e94\u7528\uff0c\u9700\u8981\u5bf9\u9a91\u884c\u8005\u8fdb\u884c\u7814\u7a76\u3002\u4f60\u51b3\u5b9a\u91c7\u8bbf\u5e76\u89c2\u5bdf\u5317\u4eac\u5e02\u7684\u81ea\u884c\u8f66\u9a91\u884c\u8005\uff0c\u4f46\u4f60\u6ca1\u6709\u610f\u8bc6\u5230\u4ed6\u4eec\u7684\u9a91\u884c\u884c\u4e3a\u4e60\u60ef\u53ef\u80fd\u4e0e\u5c45\u4f4f\u5728\u5c71\u4e18\u591a\u7684\u90ca\u533a\u7684\u9a91\u884c\u8005\u6709\u5f88\u5927\u4e0d\u540c\u3002\u56e0\u6b64\u4f60\u7684\u7814\u7a76\u6210\u679c\u53ef\u80fd\u6709\u4e0d\u9002\u7528\u4e8e\u6240\u6709\u76ee\u6807\u53d7\u4f17\u7684\u98ce\u9669\u3002<\/p>\n\n\n\n

          65. \u89c2\u5bdf\u8005\u671f\u671b\u6548\u5e94 Observer-Expectancy Effect<\/h3>\n\n\n\n

          \u7814\u7a76\u8005\u6709\u65f6\u53ef\u80fd\u4f1a\u671f\u671b\u51fa\u73b0\u67d0\u79cd\u7ed3\u679c\uff0c\u4ed6\u4eec\u65e0\u610f\u8bc6\u5730\u64cd\u7eb5\u4e86\u8bd5\u9a8c\u8fc7\u7a0b\uff0c\u6216\u8005\u9519\u8bef\u5730\u89e3\u91ca\u5b9e\u9a8c\u7ed3\u679c\uff0c\u5bfc\u81f4\u7814\u7a76\u7ed3\u679c\u4e25\u91cd\u6b6a\u66f2\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u5728\u7528\u6237\u7814\u7a76\u4e2d\uff0c\u7814\u7a76\u8005\u7684\u8868\u60c5\u3001\u80a2\u4f53\u8bed\u8a00\u7b49\u90fd\u53ef\u80fd\u4f1a\u53cd\u6620\u51fa\u81ea\u5df1\u6240\u671f\u5f85\u7684\u7ed3\u679c\uff0c\u5982\u679c\u7528\u6237\u5bdf\u89c9\u5230\u4e86\u8fd9\u4e9b\uff0c\u5c31\u53ef\u80fd\u505a\u4e00\u4e9b\u8fce\u5408\u7814\u7a76\u8005\u671f\u671b\u7684\u53cd\u5e94\u3002<\/p>\n\n\n\n

          66. \u793e\u4f1a\u671f\u8bb8\u504f\u5dee Social Desirability Bias<\/h3>\n\n\n\n

          \u6211\u4eec\u503e\u5411\u4e8e\u591a\u8868\u8fbe\u7b26\u5408\u793e\u4f1a\u671f\u8bb8\u7684\u4e8b\u60c5\uff0c\u800c\u9690\u7792\u90a3\u4e9b\u4e0d\u7b26\u5408\u793e\u4f1a\u9884\u671f\u7684\u4e8b\u60c5\u3002\u4f8b\u5982\u5728\u8be2\u95ee\u662f\u5426\u6709\u4e0d\u826f\u55dc\u597d\u3001\u6027\u4f34\u4fa3\u6570\u91cf\u65f6\uff0c\u5927\u5bb6\u4f1a\u6709\u610f\u65e0\u610f\u5730\u9690\u7792\u6216\u6de1\u5316\u5b9e\u60c5\u3002<\/p>\n\n\n\n

          \ud83d\udd3a \u793a\u4f8b<\/strong><\/p>\n\n\n\n

          \u793e\u4f1a\u8bc1\u660e\u662f\u5efa\u7acb\u4fe1\u4efb\u7684\u597d\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u53ef\u5728\u4ea7\u54c1\u9875\u9762\u4e0a\u4f7f\u7528\u7684\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n\n\n\n