{"id":33,"date":"2026-01-09T11:59:18","date_gmt":"2026-01-09T03:59:18","guid":{"rendered":"https:\/\/niuns.com\/?p=33"},"modified":"2026-01-09T11:59:18","modified_gmt":"2026-01-09T03:59:18","slug":"200%e9%a1%b9%e5%bf%83%e7%90%86%e5%ad%a6%e6%95%88%e5%ba%94%e3%80%81%e5%81%8f%e5%b7%ae%e4%b8%8e%e5%ae%9a%e5%be%8b%e7%9a%84%e6%b7%b1%e5%ba%a6%e8%a7%a3%e6%9e%90","status":"publish","type":"post","link":"https:\/\/niuns.com\/index.php\/2026\/01\/09\/200%e9%a1%b9%e5%bf%83%e7%90%86%e5%ad%a6%e6%95%88%e5%ba%94%e3%80%81%e5%81%8f%e5%b7%ae%e4%b8%8e%e5%ae%9a%e5%be%8b%e7%9a%84%e6%b7%b1%e5%ba%a6%e8%a7%a3%e6%9e%90\/","title":{"rendered":"200\u9879\u5fc3\u7406\u5b66\u6548\u5e94\u3001\u504f\u5dee\u4e0e\u5b9a\u5f8b\u7684\u6df1\u5ea6\u89e3\u6790"},"content":{"rendered":"\n

\u5728\u73b0\u4ee3\u8ba4\u77e5\u79d1\u5b66\u4e0e\u884c\u4e3a\u7ecf\u6d4e\u5b66\u7684\u5b8f\u5927\u53d9\u4e8b\u4e2d\uff0c\u4eba\u7c7b\u7684\u5fc3\u667a\u88ab\u63cf\u7ed8\u4e3a\u4e00\u4e2a\u65e2\u7cbe\u7cbe\u5bc6\u53c8\u5145\u6ee1\u7cfb\u7edf\u6027\u7f3a\u9677\u7684\u590d\u6742\u7cfb\u7edf\u3002\u8fd9\u4e2a\u7cfb\u7edf\u5728\u6570\u767e\u4e07\u5e74\u7684\u8fdb\u5316\u5386\u7a0b\u4e2d\uff0c\u4e3a\u4e86\u5e94\u5bf9\u751f\u5b58\u538b\u529b\uff0c\u6f14\u5316\u51fa\u4e86\u5927\u91cf\u88ab\u79f0\u4e3a\u201c\u542f\u53d1\u5f0f\u201d\uff08Heuristics\uff09\u7684\u5fc3\u7406\u6377\u5f84 1<\/sup>\u3002\u8fd9\u4e9b\u6377\u5f84\u5728\u8fdc\u53e4\u65f6\u4ee3\u662f\u63d0\u9ad8\u51b3\u7b56\u6548\u7387\u7684\u5229\u5668\uff0c\u4f46\u5728\u4fe1\u606f\u7206\u70b8\u4e14\u7ed3\u6784\u590d\u6742\u7684\u73b0\u4ee3\u793e\u4f1a\uff0c\u5b83\u4eec\u5f80\u5f80\u8f6c\u5316\u4e3a\u8ba4\u77e5\u504f\u5dee\uff0c\u5f71\u54cd\u7740\u4ece\u4e2a\u4eba\u7406\u8d22\u5230\u56fd\u9645\u5916\u4ea4\u7684\u6bcf\u4e00\u4e2a\u51b3\u7b56\u7ef4\u5ea6\u3002\u672c\u62a5\u544a\u901a\u8fc7\u5bf9200\u9879\u6838\u5fc3\u5fc3\u7406\u5b66\u6548\u5e94\u3001\u504f\u5dee\u53ca\u5b9a\u5f8b\u7684\u7cfb\u7edf\u5316\u68b3\u7406\uff0c\u65e8\u5728\u4e3a\u4e13\u4e1a\u7814\u7a76\u8005\u4e0e\u51b3\u7b56\u8005\u63d0\u4f9b\u4e00\u4e2a\u5173\u4e8e\u4eba\u7c7b\u884c\u4e3a\u5e95\u5c42\u903b\u8f91\u7684\u5168\u666f\u900f\u89c6\uff0c\u6db5\u76d6\u8ba4\u77e5\u51b3\u7b56\u3001\u793e\u4ea4\u4e92\u52a8\u3001\u8bb0\u5fc6\u7f16\u7801\u3001\u804c\u573a\u6548\u80fd\u3001\u60c5\u7eea\u8c03\u8282\u53ca\u81ea\u6211\u8ba4\u77e5\u516d\u5927\u6838\u5fc3\u6a21\u5757\u3002<\/p>\n\n\n\n

\u7b2c\u4e00\u7ae0 \u8ba4\u77e5\u504f\u8bef\u4e0e\u51b3\u7b56\u903b\u8f91\uff1a\u4e0d\u786e\u5b9a\u6027\u4e0b\u7684\u5fc3\u667a\u535a\u5f08<\/strong><\/h2>\n\n\n\n

\u4eba\u7c7b\u7684\u51b3\u7b56\u8fc7\u7a0b\u5e76\u975e\u4e25\u683c\u9075\u5faa\u51af\u00b7\u8bfa\u4f9d\u66fc\u7684\u671f\u671b\u6548\u7528\u7406\u8bba\uff0c\u800c\u662f\u8868\u73b0\u51fa\u660e\u663e\u7684\u7cfb\u7edf\u6027\u504f\u79bb 1<\/sup>\u3002<\/p>\n\n\n\n

1.1 \u521d\u59cb\u4fe1\u606f\u4e0e\u5224\u65ad\u951a\u5b9a<\/strong><\/h3>\n\n\n\n

1. \u951a\u5b9a\u6548\u5e94 (Anchoring Effect)<\/p>\n\n\n\n

\u951a\u5b9a\u6548\u5e94\u662f\u6307\u4e2a\u4f53\u5728\u8fdb\u884c\u5b9a\u91cf\u8bc4\u4f30\u65f6\uff0c\u4f1a\u4e0d\u81ea\u89c9\u5730\u53d7\u5230\u6700\u521d\u63a5\u89e6\u5230\u7684\u6570\u5b57\uff08\u5373\u201c\u951a\u201d\uff09\u7684\u5f71\u54cd\uff0c\u5bfc\u81f4\u540e\u7eed\u8c03\u6574\u4e0d\u8db3 3<\/sup>\u3002\u4f8b\u5982\uff0c\u5728\u5546\u4e1a\u8c08\u5224\u4e2d\uff0c\u5148\u62a5\u4ef7\u7684\u4e00\u65b9\u901a\u8fc7\u8bbe\u7f6e\u4e00\u4e2a\u6781\u9ad8\u6216\u6781\u4f4e\u7684\u521d\u59cb\u4ef7\u683c\uff0c\u5f80\u5f80\u80fd\u6210\u529f\u5c06\u6700\u7ec8\u6210\u4ea4\u4ef7\u62c9\u5411\u8be5\u6c34\u5e73 4<\/sup>\u3002\u5176\u542f\u793a\u5728\u4e8e\uff1a\u5728\u4efb\u4f55\u8bc4\u4f30\u4efb\u52a1\u524d\uff0c\u5fc5\u987b\u610f\u8bc6\u5230\u7b2c\u4e00\u4e2a\u51fa\u73b0\u7684\u6570\u5b57\u5177\u6709\u6781\u5f3a\u7684\u5fc3\u7406\u5165\u4fb5\u6027\uff0c\u5e94\u4e3b\u52a8\u5bfb\u627e\u66ff\u4ee3\u951a\u70b9\u3002<\/p>\n\n\n\n

2. \u6846\u67b6\u6548\u5e94 (Framing Effect)<\/p>\n\n\n\n

\u540c\u4e00\u4fe1\u606f\u4ee5\u6b63\u5411\uff08\u6536\u76ca\uff09\u6216\u8d1f\u5411\uff08\u635f\u5931\uff09\u7684\u65b9\u5f0f\u63cf\u8ff0\uff0c\u4f1a\u5f15\u53d1\u5b8c\u5168\u4e0d\u540c\u7684\u504f\u597d 5<\/sup>\u3002\u5728\u533b\u7597\u51b3\u7b56\u7814\u7a76\u4e2d\uff0c\u544a\u77e5\u60a3\u8005\u624b\u672f\u201c\u5b58\u6d3b\u738790%\u201d\u6bd4\u544a\u77e5\u201c\u6b7b\u4ea1\u738710%\u201d\u66f4\u80fd\u83b7\u5f97\u652f\u6301 1<\/sup>\u3002\u8fd9\u63ed\u793a\u4e86\u4eba\u7c7b\u5929\u751f\u662f\u98ce\u9669\u89c4\u907f\u8005\uff08\u5728\u6536\u76ca\u9762\u524d\uff09\u548c\u98ce\u9669\u5bfb\u6c42\u8005\uff08\u5728\u635f\u5931\u9762\u524d\uff09\u3002<\/p>\n\n\n\n

3. \u8bf1\u9975\u6548\u5e94 (Decoy Effect)<\/p>\n\n\n\n

\u5f53\u5b58\u5728\u4e24\u4e2a\u76f8\u4e92\u7ade\u4e89\u7684\u9009\u9879\u65f6\uff0c\u5f15\u5165\u7b2c\u4e09\u4e2a\u660e\u663e\u8f83\u5dee\u7684\u9009\u9879\uff08\u8bf1\u9975\uff09\uff0c\u4f1a\u663e\u8457\u589e\u52a0\u5176\u4e2d\u4e00\u4e2a\u9009\u9879\u7684\u5438\u5f15\u529b 6<\/sup>\u3002\u8fd9\u79cd\u673a\u5236\u5728\u5b9a\u4ef7\u7b56\u7565\u4e2d\u5e7f\u6cdb\u5e94\u7528\uff0c\u901a\u8fc7\u8bbe\u7f6e\u4e00\u4e2a\u529f\u80fd\u7565\u5dee\u4f46\u4ef7\u683c\u76f8\u8fd1\u7684\u4e2d\u95f4\u6863\u4f4d\uff0c\u8bf1\u5bfc\u6d88\u8d39\u8005\u8d2d\u4e70\u5229\u6da6\u6700\u9ad8\u7684\u9876\u7ea7\u914d\u7f6e\u3002<\/p>\n\n\n\n

4. \u8d27\u5e01\u5e7b\u89c9 (Money Illusion)<\/p>\n\n\n\n

\u4eba\u4eec\u5f80\u5f80\u5173\u6ce8\u8d27\u5e01\u7684\u540d\u4e49\u4ef7\u503c\u800c\u975e\u5176\u5b9e\u9645\u8d2d\u4e70\u529b 2<\/sup>\u3002\u4f8b\u5982\uff0c\u5728\u540d\u4e49\u5de5\u8d44\u589e\u957f2%\u4f46\u901a\u80c0\u7387\u4e3a4%\u7684\u73af\u5883\u4e0b\uff0c\u5458\u5de5\u7684\u6ee1\u8db3\u611f\u5f80\u5f80\u9ad8\u4e8e\u964d\u85aa2%\u4f46\u65e0\u901a\u80c0\u7684\u73af\u5883\u3002<\/p>\n\n\n\n

1.2 \u6982\u7387\u8bef\u5224\u4e0e\u5f52\u56e0\u903b\u8f91<\/strong><\/h3>\n\n\n\n

\u4eba\u7c7b\u5927\u8111\u5728\u5904\u7406\u968f\u673a\u6027\u65f6\u8868\u73b0\u5f97\u5f02\u5e38\u7b28\u62d9\u3002<\/p>\n\n\n\n

5. \u8d4c\u5f92\u8c2c\u8bef (Gambler’s Fallacy)<\/p>\n\n\n\n

\u8bef\u8ba4\u4e3a\u5982\u679c\u4e00\u4e2a\u968f\u673a\u4e8b\u4ef6\u5728\u8fc7\u53bb\u9891\u7e41\u53d1\u751f\uff0c\u90a3\u4e48\u5b83\u5728\u672a\u6765\u53d1\u751f\u7684\u53ef\u80fd\u6027\u5c31\u4f1a\u964d\u4f4e 6\u3002\u5728\u8f6e\u76d8\u8d4c\u4e2d\uff0c\u8fde\u7eed\u51fa\u73b0\u591a\u6b21\u7ea2\u8272\u540e\uff0c\u73a9\u5bb6\u503e\u5411\u4e8e\u62bc\u6ce8\u9ed1\u8272\uff0c\u5c3d\u7ba1\u6bcf\u6b21\u65cb\u8f6c\u90fd\u662f\u72ec\u7acb\u4e8b\u4ef6 4<\/sup>\u3002<\/p>\n\n\n\n

6. \u70ed\u624b\u8c2c\u8bef (Hot Hand Fallacy)<\/p>\n\n\n\n

\u4e0e\u8d4c\u5f92\u8c2c\u8bef\u76f8\u53cd\uff0c\u4eba\u4eec\u503e\u5411\u4e8e\u8ba4\u4e3a\u8fc7\u53bb\u6210\u529f\u7684\u8868\u73b0\u9884\u793a\u7740\u672a\u6765\u6301\u7eed\u7684\u6210\u529f 3<\/sup>\u3002\u5728\u7bee\u7403\u6bd4\u8d5b\u4e2d\uff0c\u89c2\u4f17\u76f8\u4fe1\u8fde\u7eed\u6295\u4e2d\u7684\u7403\u5458\u5728\u4e0b\u4e00\u6b21\u51fa\u624b\u65f6\u4ecd\u6709\u6781\u9ad8\u547d\u4e2d\u7387\uff0c\u5c3d\u7ba1\u6570\u636e\u7edf\u8ba1\u8bc1\u660e\u8fd9\u5f80\u5f80\u53ea\u662f\u968f\u673a\u8d77\u4f0f\u7684\u4e00\u90e8\u5206\u3002<\/p>\n\n\n\n

7. \u53ef\u5f97\u6027\u542f\u53d1\u6cd5 (Availability Heuristic)<\/p>\n\n\n\n

\u4e2a\u4f53\u503e\u5411\u4e8e\u6839\u636e\u8bb0\u5fc6\u4e2d\u6700\u5bb9\u6613\u63d0\u53d6\u7684\u6848\u4f8b\u6765\u8bc4\u4f30\u4e8b\u4ef6\u53d1\u751f\u7684\u9891\u7387 1<\/sup>\u3002\u7531\u4e8e\u7a7a\u96be\u62a5\u9053\u5177\u6709\u6781\u5f3a\u7684\u89c6\u89c9\u51b2\u51fb\u529b\u548c\u65b0\u95fb\u6027\uff0c\u4eba\u4eec\u5f80\u5f80\u9ad8\u4f30\u98de\u884c\u7684\u5371\u9669\u6027\uff0c\u800c\u5ffd\u89c6\u4e86\u7edf\u8ba1\u5b66\u4e0a\u6982\u7387\u66f4\u9ad8\u7684\u65e5\u5e38\u4ea4\u901a\u4e8b\u6545 1<\/sup>\u3002<\/p>\n\n\n\n

8. \u4ee3\u8868\u6027\u542f\u53d1\u6cd5 (Representativeness Heuristic)<\/p>\n\n\n\n

\u4eba\u4eec\u503e\u5411\u4e8e\u6839\u636e\u4e8b\u7269\u4e0e\u67d0\u4e2a\u7c7b\u522b\u7684\u5178\u578b\u7279\u5f81\u6709\u591a\u76f8\u4f3c\u6765\u5224\u65ad\u5176\u53d1\u751f\u7684\u6982\u7387\uff0c\u800c\u5ffd\u7565\u4e86\u57fa\u7840\u6982\u7387\uff08Base Rate\uff09 2<\/sup>\u3002<\/p>\n\n\n\n

1.3 \u51b3\u7b56\u6bd4\u8f83\u4e0e\u8ba4\u77e5\u504f\u597d\u6570\u636e\u8868<\/strong><\/h3>\n\n\n\n

\u4e0b\u8868\u6c47\u603b\u4e86\u51b3\u7b56\u8fc7\u7a0b\u4e2d\u5e38\u89c1\u7684\u51e0\u79cd\u5178\u578b\u504f\u8bef\u53ca\u5176\u5bf9\u5e94\u7684\u804c\u573a\u6216\u751f\u6d3b\u573a\u666f\uff1a<\/p>\n\n\n\n

\u6548\u5e94\u540d\u79f0<\/strong><\/td>\u6838\u5fc3\u5b9a\u4e49<\/strong><\/td>\u5178\u578b\u793a\u4f8b<\/strong><\/td>\u51b3\u7b56\u542f\u793a<\/strong><\/td><\/tr>
\u5bf9\u6bd4\u6548\u5e94 (Contrast Effect)<\/strong> 6<\/sup><\/td>\u8bc4\u4ef7\u4e8b\u7269\u53d7\u5148\u524d\u6216\u540c\u65f6\u5bf9\u6bd4\u7269\u5f71\u54cd\u800c\u4ea7\u751f\u504f\u5dee<\/td>\u9762\u8bd5\u4e00\u4e2a\u666e\u901a\u4eba\uff0c\u6392\u5728\u4e00\u7fa4\u7cdf\u7cd5\u7684\u5019\u9009\u4eba\u4e4b\u540e\uff0c\u4ed6\u4f1a\u663e\u5f97\u683c\u5916\u4f18\u79c0<\/td>\u8bc4\u4f30\u5e94\u57fa\u4e8e\u5ba2\u89c2\u80dc\u4efb\u529b\u6807\u51c6\u800c\u975e\u76f8\u5bf9\u6392\u540d<\/td><\/tr>
\u533a\u522b\u504f\u5dee (Distinction Bias)<\/strong> 6<\/sup><\/td>\u540c\u65f6\u5bf9\u6bd4\u4e24\u4e2a\u9009\u9879\u65f6\uff0c\u4f1a\u8fc7\u5ea6\u5173\u6ce8\u5fae\u5c0f\u5dee\u5f02\u800c\u5ffd\u7565\u6574\u4f53\u4f53\u9a8c<\/td>\u8d2d\u4e70\u7535\u89c6\u65f6\u5bf9\u6bd4\u4e24\u6b3e\u53c2\u6570\u5fae\u5dee\u7684\u673a\u5668\uff0c\u5374\u5ffd\u7565\u4e86\u5355\u53f0\u4f7f\u7528\u7684\u6838\u5fc3\u753b\u8d28<\/td>\u5173\u6ce8\u201c\u4f7f\u7528\u65f6\u201d\u7684\u7edd\u5bf9\u4f53\u9a8c\u800c\u975e\u201c\u8d2d\u4e70\u65f6\u201d\u7684\u76f8\u5bf9\u53c2\u6570<\/td><\/tr>
\u786e\u5b9a\u6027\u6548\u5e94 (Certainty Effect)<\/strong><\/td>\u5728\u635f\u5931\u548c\u6536\u76ca\u8bc4\u4f30\u4e2d\uff0c\u4eba\u4eec\u5bf9100%\u7684\u7ed3\u679c\u7ed9\u4e88\u8fc7\u9ad8\u7684\u6743\u91cd<\/td>\u5b81\u613f\u8981\u786e\u5b9a\u7684100\u5143\uff0c\u4e5f\u4e0d\u613f\u898180%\u6982\u7387\u7684150\u5143<\/td>\u98ce\u9669\u504f\u597d\u5177\u6709\u975e\u7ebf\u6027\u7279\u5f81\uff0c\u9700\u8c28\u614e\u8bc4\u4f30\u6ea2\u4ef7\u4ee3\u4ef7<\/td><\/tr>
\u73b0\u72b6\u504f\u5dee (Status Quo Bias)<\/strong> 4<\/sup><\/td>\u503e\u5411\u4e8e\u4fdd\u6301\u73b0\u72b6\uff0c\u5c06\u4efb\u4f55\u6539\u53d8\u89c6\u4e3a\u6f5c\u5728\u7684\u635f\u5931<\/td>\u5373\u4f7f\u6709\u66f4\u4f18\u60e0\u7684\u4fdd\u9669\u65b9\u6848\uff0c\u7528\u6237\u4ecd\u503e\u5411\u4e8e\u7eed\u7b7e\u65e7\u5408\u7ea6<\/td>\u9ed8\u8ba4\u9009\u9879\u5177\u6709\u5de8\u5927\u7684\u884c\u4e3a\u9a71\u52a8\u529b\uff0c\u5373\u201c\u9ed8\u8ba4\u6cd5\u5219\u201d<\/td><\/tr>
\u635f\u5931\u89c4\u907f (Loss Aversion)<\/strong> 7<\/sup><\/td>\u5931\u53bb\u67d0\u7269\u7684\u75db\u82e6\u8fdc\u5927\u4e8e\u83b7\u5f97\u540c\u7b49\u4ef7\u503c\u7269\u7684\u5feb\u4e50\uff08\u7ea62:1\uff09<\/td>\u76f8\u6bd4\u83b7\u5f9710\u5143\u4f18\u60e0\u5238\uff0c\u5f3a\u8c03\u201c\u82e5\u4e0d\u884c\u52a8\u5c06\u635f\u593110\u5143\u201d\u66f4\u80fd\u9a71\u52a8\u7528\u6237<\/td>\u5f3a\u8c03\u201c\u635f\u5931\u201d\u662f\u66f4\u5f3a\u7684\u884c\u52a8\u89e6\u53d1\u673a\u5236<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u7b2c\u4e8c\u7ae0 \u793e\u4ea4\u52a8\u529b\u4e0e\u7fa4\u4f53\u884c\u4e3a\uff1a\u573a\u57df\u4e2d\u7684\u4e2a\u4f53\u5f02\u5316<\/strong><\/h2>\n\n\n\n

\u793e\u4f1a\u5fc3\u7406\u5b66\u7814\u7a76\u8868\u660e\uff0c\u4ed6\u4eba\u7684\u5b58\u5728\uff08\u65e0\u8bba\u662f\u771f\u5b9e\u7684\u8fd8\u662f\u60f3\u8c61\u7684\uff09\u90fd\u4f1a\u6df1\u523b\u6539\u53d8\u4e2a\u4f53\u7684\u8ba4\u77e5\u548c\u884c\u4e3a\u8868\u73b0 6<\/sup>\u3002<\/p>\n\n\n\n

2.1 \u7fa4\u4f53\u5f71\u54cd\u4e0e\u8d23\u4efb\u535a\u5f08<\/strong><\/h3>\n\n\n\n

9. \u65c1\u89c2\u8005\u6548\u5e94 (Bystander Effect)<\/p>\n\n\n\n

\u5728\u7d27\u6025\u60c5\u51b5\u4e0b\uff0c\u5728\u573a\u7684\u4eba\u8d8a\u591a\uff0c\u4e2a\u4f53\u63d0\u4f9b\u5e2e\u52a9\u7684\u53ef\u80fd\u6027\u53cd\u800c\u8d8a\u4f4e\uff0c\u56e0\u4e3a\u8d23\u4efb\u611f\u88ab\u7a00\u91ca\u5230\u4e86\u7fa4\u4f53\u4e2d 6<\/sup>\u3002\u8fd9\u88ab\u79f0\u4e3a\u201c\u8d23\u4efb\u5206\u6563\u201d\u3002\u542f\u793a\uff1a\u5728\u5bfb\u6c42\u5e2e\u52a9\u65f6\uff0c\u5e94\u660e\u786e\u6307\u6d3e\u67d0\u4e2a\u4eba\uff0c\u800c\u975e\u6cdb\u6cdb\u547c\u6551\u3002<\/p>\n\n\n\n

10. \u793e\u4f1a\u61c8\u6020 (Social Loafing)<\/p>\n\n\n\n

\u5728\u7fa4\u4f53\u4efb\u52a1\u4e2d\uff0c\u4e2a\u4f53\u7684\u52aa\u529b\u7a0b\u5ea6\u968f\u4eba\u6570\u589e\u52a0\u800c\u4e0b\u964d 11<\/sup>\u3002\u6797\u683c\u66fc\uff08Ringelmann\uff09\u7684\u62d4\u6cb3\u5b9e\u9a8c\u8bc1\u660e\uff0c\u4e09\u4eba\u7ec4\u7684\u4e2a\u4f53\u4ea7\u51fa\u4ec5\u4e3a\u5355\u4eba\u72b6\u6001\u4e0b\u768485%\u3002\u7ba1\u7406\u8005\u5e94\u5efa\u7acb\u900f\u660e\u7684\u4e2a\u4eba\u8d21\u732e\u8ffd\u8e2a\u673a\u5236\u3002<\/p>\n\n\n\n

11. \u4ece\u4f17\u6548\u5e94 (Bandwagon Effect)<\/p>\n\n\n\n

\u4e2a\u4f53\u4e3a\u4e86\u4e0e\u7fa4\u4f53\u4fdd\u6301\u4e00\u81f4\uff0c\u5f80\u5f80\u4f1a\u8fdd\u80cc\u81ea\u5df1\u7684\u76f4\u89c9\u6216\u903b\u8f91 3<\/sup>\u3002\u8fd9\u79cd\u73b0\u8c61\u5728\u91d1\u878d\u6ce1\u6cab\u3001\u65f6\u5c1a\u8d8b\u52bf\u548c\u653f\u6cbb\u8fd0\u52a8\u4e2d\u5c24\u4e3a\u660e\u663e\u3002\u72ec\u7acb\u601d\u8003\u9700\u8981\u514b\u670d\u751f\u7406\u6027\u7684\u5b64\u72ec\u611f\u3002<\/p>\n\n\n\n

12. \u9cb6\u9c7c\u6548\u5e94 (Catfish Effect)<\/p>\n\n\n\n

\u901a\u8fc7\u5f15\u5165\u5916\u90e8\u7ade\u4e89\u8005\u6765\u6fc0\u6d3b\u539f\u672c\u5e73\u5eb8\u3001\u61c8\u6020\u7684\u7fa4\u4f53 13<\/sup>\u3002\u6b63\u5982\u6d3b\u8e66\u4e71\u8df3\u7684\u9cb6\u9c7c\u8ba9\u6c99\u4e01\u9c7c\u4e3a\u4e86\u751f\u5b58\u800c\u4fdd\u6301\u6d3b\u529b\uff0c\u7ec4\u7ec7\u4e2d\u7684\u9002\u5ea6\u7ade\u4e89\u80fd\u6709\u6548\u9632\u6b62\u4eba\u5458\u50f5\u5316\u3002<\/p>\n\n\n\n

2.2 \u793e\u4ea4\u8bc4\u4ef7\u4e0e\u7b2c\u4e00\u5370\u8c61<\/strong><\/h3>\n\n\n\n

13. \u5149\u73af\u6548\u5e94 (Halo Effect)<\/p>\n\n\n\n

\u5f53\u4e00\u4e2a\u4eba\u5177\u6709\u67d0\u79cd\u79ef\u6781\u7279\u8d28\uff08\u5982\u9ad8\u989c\u503c\uff09\u65f6\uff0c\u4eba\u4eec\u503e\u5411\u4e8e\u63a8\u8bba\u5176\u5728\u5176\u4ed6\u9886\u57df\uff08\u5982\u667a\u529b\u3001\u5584\u826f\uff09\u540c\u6837\u4f18\u79c0 4<\/sup>\u3002\u8fd9\u79cd\u8ba4\u77e5\u7b80\u5316\u673a\u5236\u5bfc\u81f4\u4e86\u9762\u8bd5\u4e2d\u7684\u201c\u76f8\u8c8c\u504f\u89c1\u201d\u3002<\/p>\n\n\n\n

14. \u6076\u9b54\u6548\u5e94 (Horn Effect)<\/p>\n\n\n\n

\u5149\u73af\u6548\u5e94\u7684\u8d1f\u5411\u7248\u672c\u3002\u82e5\u4e2a\u4f53\u8868\u73b0\u51fa\u4e00\u4e2a\u4ee4\u4eba\u53cd\u611f\u7684\u7279\u5f81\uff0c\u5176\u6574\u4f53\u5f62\u8c61\u90fd\u4f1a\u88ab\u8d2c\u4f4e 2\u3002<\/p>\n\n\n\n

15. \u5df4\u7eb3\u59c6\u6548\u5e94 (Barnum Effect)<\/p>\n\n\n\n

\u4eba\u4eec\u503e\u5411\u4e8e\u8ba4\u4e3a\u90a3\u4e9b\u6781\u5176\u7b3c\u7edf\u3001\u6cdb\u5316\u7684\u6027\u683c\u63cf\u8ff0\u7cbe\u51c6\u5730\u5951\u5408\u4e86\u81ea\u5df1 3<\/sup>\u3002\u661f\u5ea7\u8fd0\u52bf\u548c\u67d0\u4e9b\u4e0d\u4e25\u8c28\u7684\u5fc3\u7406\u6d4b\u8bd5\u6b63\u662f\u5229\u7528\u4e86\u8fd9\u4e00\u70b9\u3002\u542f\u793a\uff1a\u8d8a\u662f\u666e\u9002\u7684\u8bc4\u4ef7\uff0c\u5176\u9488\u5bf9\u6027\u8d8a\u4f4e\u3002<\/p>\n\n\n\n

16. \u900f\u660e\u5ea6\u9519\u89c9 (Illusion of Transparency)<\/p>\n\n\n\n

\u4eba\u4eec\u5f80\u5f80\u6781\u5927\u5730\u9ad8\u4f30\u4e86\u4ed6\u4eba\u6d1e\u5bdf\u81ea\u5df1\u5185\u5728\u60c5\u611f\u7684\u80fd\u529b 6<\/sup>\u3002\u5f53\u4f60\u6f14\u8bb2\u65f6\u611f\u5230\u6781\u5ea6\u7d27\u5f20\uff0c\u89c2\u4f17\u53ef\u80fd\u53ea\u89c9\u5f97\u4f60\u7a0d\u5fae\u505c\u987f\u4e86\u4e00\u4e0b\u3002\u8fd9\u6709\u52a9\u4e8e\u7f13\u89e3\u793e\u4ea4\u7126\u8651\u3002<\/p>\n\n\n\n

2.3 \u6c9f\u901a\u6280\u5de7\u4e0e\u793e\u4f1a\u8bf4\u670d<\/strong><\/h3>\n\n\n\n

17. \u5357\u98ce\u6548\u5e94 (South Wind Effect)<\/p>\n\n\n\n

\u5728\u5904\u7406\u4eba\u9645\u5173\u7cfb\u6216\u7ba1\u7406\u95ee\u9898\u65f6\uff0c\u6e29\u548c\u7684\u8bf4\u670d\uff08\u5357\u98ce\uff09\u5f80\u5f80\u6bd4\u4e25\u5389\u7684\u60e9\u7f5a\uff08\u5317\u98ce\uff09\u66f4\u6709\u6548 13<\/sup>\u3002\u8fd9\u4e00\u539f\u7406\u6e90\u81ea\u5bd3\u8a00\uff1a\u5357\u98ce\u62c2\u52a8\uff0c\u884c\u4eba\u81ea\u89c9\u8131\u8863\uff1b\u5317\u98ce\u51db\u51bd\uff0c\u884c\u4eba\u5374\u88f9\u7d27\u5927\u8863\u3002<\/p>\n\n\n\n

18. \u767b\u95e8\u69db\u6548\u5e94 (Foot-in-the-Door Technique)<\/p>\n\n\n\n

\u901a\u8fc7\u5148\u63d0\u51fa\u4e00\u4e2a\u5c0f\u8981\u6c42\uff0c\u589e\u52a0\u5bf9\u65b9\u540c\u610f\u540e\u7eed\u5927\u8981\u6c42\u7684\u6982\u7387 7<\/sup>\u3002\u5176\u903b\u8f91\u5728\u4e8e\u4eba\u4eec\u6e34\u671b\u7ef4\u6301\u8ba4\u77e5\u4e00\u81f4\u6027\u3002<\/p>\n\n\n\n

19. \u7559\u9762\u5b50\u6548\u5e94 (Door-in-the-Face Technique)<\/p>\n\n\n\n

\u5148\u63d0\u51fa\u4e00\u4e2a\u6781\u9ad8\u7684\u3001\u4f1a\u88ab\u62d2\u7edd\u7684\u8981\u6c42\uff0c\u968f\u540e\u629b\u51fa\u8f83\u5c0f\u7684\u771f\u5b9e\u76ee\u6807\uff0c\u5bf9\u65b9\u4f1a\u56e0\u8865\u507f\u5fc3\u7406\u800c\u540c\u610f 6\u3002\u8fd9\u662f\u535a\u5f08\u8bba\u5728\u4eba\u9645\u6c9f\u901a\u4e2d\u7684\u5178\u578b\u5e94\u7528\u3002<\/p>\n\n\n\n

20. \u963f\u4f26\u68ee\u6548\u5e94 (Aronson Effect)<\/p>\n\n\n\n

\u4eba\u4eec\u6700\u559c\u6b22\u90a3\u4e9b\u5bf9\u81ea\u5df1\u7684\u8d5e\u626c\u7531\u5c11\u5230\u591a\u7684\u4eba\uff0c\u6700\u8ba8\u538c\u90a3\u4e9b\u7531\u591a\u5230\u5c11\u7684\u4eba 12<\/sup>\u3002\u5728\u6559\u80b2\u548c\u804c\u573a\u4e2d\uff0c\u9012\u589e\u5f0f\u7684\u6b63\u9762\u53cd\u9988\u6bd4\u6301\u7eed\u7684\u9ad8\u671f\u671b\u66f4\u5177\u6709\u6fc0\u52b1\u6548\u679c\u3002<\/p>\n\n\n\n

\u7b2c\u4e09\u7ae0 \u5b66\u4e60\u3001\u8bb0\u5fc6\u4e0e\u611f\u77e5\uff1a\u4fe1\u606f\u7684\u5fc3\u7406\u7269\u7406\u5b66<\/strong><\/h2>\n\n\n\n

\u8ba4\u77e5\u5fc3\u7406\u5b66\u7814\u7a76\u4fe1\u606f\u5982\u4f55\u88ab\u83b7\u53d6\u3001\u5b58\u50a8\u548c\u68c0\u7d22\u3002\u4eba\u7c7b\u7684\u8bb0\u5fc6\u5e76\u975e\u955c\u50cf\uff0c\u800c\u662f\u7ecf\u8fc7\u9ad8\u5ea6\u8fc7\u6ee4\u548c\u91cd\u6784\u7684\u4ea7\u7269 8<\/sup>\u3002<\/p>\n\n\n\n

3.1 \u8bb0\u5fc6\u7684\u7ed3\u6784\u4e0e\u987a\u5e8f\u504f\u5dee<\/strong><\/h3>\n\n\n\n

21. \u7cfb\u5217\u4f4d\u7f6e\u6548\u5e94 (Serial Position Effect)<\/p>\n\n\n\n

\u4eba\u4eec\u5bf9\u4fe1\u606f\u7684\u8bb0\u5fc6\u8d28\u91cf\u53d7\u5176\u5728\u5e8f\u5217\u4e2d\u7684\u4f4d\u7f6e\u5f71\u54cd\u3002\u4f4d\u4e8e\u5f00\u5934\u7684\uff08\u9996\u4f4d\u6548\u5e94\uff09\u548c\u7ed3\u5c3e\u7684\uff08\u8fd1\u56e0\u6548\u5e94\uff09\u4fe1\u606f\u8bb0\u5fc6\u6700\u6df1 3\u3002\u8fd9\u89e3\u91ca\u4e86\u6c9f\u901a\u4e2d\u201c\u5f00\u573a\u767d\u201d\u548c\u201c\u603b\u7ed3\u9648\u8bcd\u201d\u7684\u91cd\u8981\u6027\u3002<\/p>\n\n\n\n

22. \u8521\u683c\u5c3c\u514b\u6548\u5e94 (Zeigarnik Effect)<\/p>\n\n\n\n

\u4eba\u7c7b\u5927\u8111\u5bf9\u5c1a\u672a\u5b8c\u6210\u7684\u4efb\u52a1\u8bb0\u5fc6\u6bd4\u5df2\u5b8c\u6210\u7684\u4efb\u52a1\u66f4\u4e3a\u6df1\u523b 6<\/sup>\u3002\u8fd9\u79cd\u5fc3\u7406\u5f20\u529b\u662f\u9a71\u52a8\u6211\u4eec\u5b8c\u6210\u5de5\u4f5c\u7684\u52a8\u529b\uff0c\u4f46\u82e5\u79ef\u538b\u8fc7\u591a\uff0c\u4e5f\u4f1a\u5bfc\u81f4\u6162\u6027\u7684\u5fc3\u7406\u75b2\u52b3\u3002<\/p>\n\n\n\n

23. \u51af\u00b7\u96f7\u65af\u6258\u592b\u6548\u5e94 (Von Restorff Effect)<\/p>\n\n\n\n

\u5728\u540c\u8d28\u5316\u7684\u4e00\u7cfb\u5217\u523a\u6fc0\u4e2d\uff0c\u6700\u72ec\u7279\u7684\u90a3\u4e00\u4e2a\u6700\u5bb9\u6613\u88ab\u8bb0\u4f4f 8<\/sup>\u3002\u5728\u5e7f\u544a\u8bbe\u8ba1\u4e2d\uff0c\u8fd9\u88ab\u79f0\u4e3a\u201c\u5dee\u5f02\u5316\u6355\u83b7\u201d\u3002<\/p>\n\n\n\n

24. \u7761\u7720\u8005\u6548\u5e94 (Sleeper Effect)<\/p>\n\n\n\n

\u4f4e\u53ef\u4fe1\u5ea6\u6765\u6e90\u7684\u4fe1\u606f\uff0c\u968f\u7740\u65f6\u95f4\u7684\u6d41\u901d\uff0c\u5176\u8bf4\u670d\u529b\u53cd\u800c\u53ef\u80fd\u589e\u52a0\uff0c\u56e0\u4e3a\u4eba\u4eec\u8bb0\u4f4f\u4e86\u4fe1\u606f\u5185\u5bb9\u5374\u5fd8\u8bb0\u4e86\u6765\u6e90\u7684\u53ef\u7591\u6027 11<\/sup>\u3002\u8fd9\u662f\u5047\u65b0\u95fb\u96be\u4ee5\u6839\u9664\u7684\u5fc3\u7406\u5b66\u6839\u6e90\u4e4b\u4e00\u3002<\/p>\n\n\n\n

3.2 \u8bb0\u5fc6\u626d\u66f2\u4e0e\u5916\u90e8\u5e72\u6270<\/strong><\/h3>\n\n\n\n

25. \u865a\u5047\u8bb0\u5fc6 (False Memory)<\/p>\n\n\n\n

\u5927\u8111\u6709\u65f6\u4f1a\u901a\u8fc7\u8054\u60f3\u548c\u5916\u90e8\u6697\u793a\u6784\u9020\u51fa\u4ece\u672a\u53d1\u751f\u7684\u8bb0\u5fc6 8<\/sup>\u3002\u8bc1\u4eba\u8bc1\u8a00\u7684\u53ef\u9760\u6027\u7814\u7a76\u663e\u793a\uff0c\u63d0\u95ee\u65b9\u5f0f\u7684\u5fae\u5c0f\u5dee\u5f02\u5c31\u80fd\u7be1\u6539\u53d7\u8bbf\u8005\u7684\u8bb0\u5fc6\u3002<\/p>\n\n\n\n

26. \u8c37\u6b4c\u6548\u5e94 (Google Effect)<\/p>\n\n\n\n

\u5728\u6570\u5b57\u65f6\u4ee3\uff0c\u4eba\u4eec\u503e\u5411\u4e8e\u5fd8\u8bb0\u90a3\u4e9b\u53ef\u4ee5\u5728\u7f51\u4e0a\u8f7b\u677e\u68c0\u7d22\u5230\u7684\u4fe1\u606f\uff0c\u8fd9\u4e5f\u88ab\u79f0\u4e3a\u201c\u6570\u5b57\u5065\u5fd8\u75c7\u201d 6\u3002\u867d\u7136\u91ca\u653e\u4e86\u8ba4\u77e5\u7a7a\u95f4\uff0c\u4f46\u53ef\u80fd\u524a\u5f31\u6df1\u5c42\u7406\u89e3\u529b\u3002<\/p>\n\n\n\n

27. \u9519\u8bef\u5f52\u56e0 (Misattribution of Memory)<\/p>\n\n\n\n

\u5c06\u4e00\u4e2a\u771f\u5b9e\u5b58\u5728\u7684\u8bb0\u5fc6\u7247\u6bb5\u9519\u8bef\u5730\u5f52\u5c5e\u4e8e\u4e0d\u6b63\u786e\u7684\u6765\u6e90\u6216\u60c5\u5883 6<\/sup>\u3002\u4f8b\u5982\uff0c\u5c06\u7535\u5f71\u60c5\u8282\u8bef\u8ba4\u4e3a\u81ea\u5df1\u7684\u771f\u5b9e\u7ae5\u5e74\u7ecf\u5386\u3002<\/p>\n\n\n\n

28. \u542f\u52a8\u6548\u5e94 (Priming)<\/p>\n\n\n\n

\u63a5\u89e6\u67d0\u79cd\u523a\u6fc0\u4f1a\u65e0\u610f\u8bc6\u5730\u5f71\u54cd\u968f\u540e\u5bf9\u53e6\u4e00\u79cd\u523a\u6fc0\u7684\u5904\u7406 3<\/sup>\u3002\u4f8b\u5982\uff0c\u5f53\u4e00\u4e2a\u4eba\u5148\u8bfb\u5230\u201c\u6e29\u6696\u201d\u76f8\u5173\u7684\u8bcd\u6c47\uff0c\u968f\u540e\u5728\u8bc4\u4ef7\u964c\u751f\u4eba\u65f6\u4f1a\u503e\u5411\u4e8e\u8ba4\u4e3a\u5bf9\u65b9\u66f4\u4eb2\u5207\u3002<\/p>\n\n\n\n

3.3 \u611f\u89c9\u4e0e\u53cd\u5e94\u7684\u7269\u7406\u5b9a\u5f8b<\/strong><\/h3>\n\n\n\n

\u5fc3\u7406\u7269\u7406\u5b66\u5b9a\u5f8b\u63ed\u793a\u4e86\u7269\u7406\u523a\u6fc0\u4e0e\u5fc3\u7406\u611f\u53d7\u4e4b\u95f4\u7684\u975e\u7ebf\u6027\u5173\u7cfb\uff1a<\/p>\n\n\n\n

\u5b9a\u5f8b\/\u6548\u5e94\u540d\u79f0<\/strong><\/td>\u6838\u5fc3\u673a\u5236<\/strong><\/td>\u793a\u4f8b\/\u516c\u5f0f<\/strong><\/td>\u5e94\u7528\u542f\u793a<\/strong><\/td><\/tr>
\u97e6\u4f2f\u5b9a\u5f8b (Weber’s Law)<\/strong> 15<\/sup><\/td>\u5f15\u8d77\u5dee\u522b\u611f\u89c9\u6240\u9700\u7684\u7269\u7406\u589e\u91cf\u4e0e\u539f\u523a\u6fc0\u5f3a\u5ea6\u6210\u6b63\u6bd4<\/td>
$$K = \\frac{\\Delta I}{I}$$<\/td>		\u5728\u9ad8\u4ef7\u5546\u54c1\u4e0a\u589e\u52a0\u5fae\u5c0f\u6210\u672c\uff0c\u7528\u6237\u51e0\u4e4e\u5bdf\u89c9\u4e0d\u5230<\/td><\/tr>
\u8d39\u5e0c\u7eb3\u5b9a\u5f8b (Fechner’s Law)<\/strong> 15<\/sup><\/td>\u5fc3\u7406\u611f\u53d7\u7684\u5f3a\u5ea6\u4e0e\u7269\u7406\u523a\u6fc0\u5f3a\u5ea6\u7684\u5bf9\u6570\u6210\u6b63\u6bd4<\/td>
$$S = K \\log I$$<\/td>		\u523a\u6fc0\u7684\u8fb9\u9645\u5fc3\u7406\u6548\u7528\u5448\u9012\u51cf\u8d8b\u52bf<\/td><\/tr>
\u5e0c\u514b\u5b9a\u5f8b (Hick’s Law)<\/strong> 15<\/sup><\/td>\u51b3\u7b56\u6240\u9700\u7684\u65f6\u95f4\u968f\u9009\u9879\u6570\u91cf\u7684\u5bf9\u6570\u800c\u589e\u52a0<\/td>\u591a\u9009\u9879\u5bfc\u81f4\u51b3\u7b56\u762b\u75ea<\/td>\u7b80\u5316\u7528\u6237\u754c\u9762\u7684\u9009\u9879\u80fd\u663e\u8457\u63d0\u5347\u8f6c\u5316\u7387<\/td><\/tr>
\u83f2\u8328\u5b9a\u5f8b (Fitts’ Law)<\/strong> 15<\/sup><\/td>\u5230\u8fbe\u76ee\u6807\u7684\u65f6\u95f4\u53d6\u51b3\u4e8e\u76ee\u6807\u7684\u8ddd\u79bb\u548c\u5927\u5c0f<\/td>\u4ea4\u4e92\u8bbe\u8ba1\u4e2d\u91cd\u8981\u6309\u94ae\u5e94\u5927\u4e14\u8fd1<\/td>\u4f18\u5316\u64cd\u4f5c\u8def\u5f84\uff0c\u51cf\u5c11\u7528\u6237\u7684\u8fd0\u52a8\u8d1f\u8377<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u7b2c\u56db\u7ae0 \u804c\u573a\u6548\u80fd\u4e0e\u7ec4\u7ec7\u5fc3\u7406\uff1a\u6548\u7387\u80cc\u540e\u7684\u94c1\u5f8b<\/strong><\/h2>\n\n\n\n

\u7ec4\u7ec7\u884c\u4e3a\u5b66\u5229\u7528\u5fc3\u7406\u6548\u5e94\u6765\u4f18\u5316\u7ba1\u7406\u6d41\u7a0b\u3002\u7531\u4e8e\u4eba\u7c7b\u5927\u8111\u5bf9\u590d\u6742\u7cfb\u7edf\u7684\u7406\u89e3\u5b58\u5728\u56fa\u6709\u7684\u5c40\u9650\u6027\uff0c\u4e00\u7cfb\u5217\u53cd\u6620\u7ec4\u7ec7\u75c5\u6001\u548c\u6548\u80fd\u6f5c\u529b\u7684\u5b9a\u5f8b\u5e94\u8fd0\u800c\u751f 16<\/sup>\u3002<\/p>\n\n\n\n

4.1 \u4efb\u52a1\u6267\u884c\u4e0e\u8fdb\u5ea6\u7ba1\u7406<\/strong><\/h3>\n\n\n\n

29. \u5e15\u91d1\u68ee\u5b9a\u5f8b (Parkinson’s Law)<\/p>\n\n\n\n

\u5de5\u4f5c\u603b\u662f\u4f1a\u81ea\u52a8\u81a8\u80c0\uff0c\u76f4\u5230\u5360\u6ee1\u6240\u6709\u53ef\u7528\u7684\u65f6\u95f4 17<\/sup>\u3002\u8fd9\u610f\u5473\u7740\uff0c\u5982\u679c\u7ed9\u4e00\u4e2a\u539f\u672c\u53ea\u9700\u4e09\u5c0f\u65f6\u5b8c\u6210\u7684\u4efb\u52a1\u8bbe\u7f6e\u4e86\u4e00\u5468\u7684\u622a\u6b62\u65e5\u671f\uff0c\u4eba\u4eec\u5f80\u5f80\u4f1a\u62d6\u5ef6\u5230\u6700\u540e\u4e00\u5929\u7a81\u51fb\u5b8c\u6210\u3002<\/p>\n\n\n\n

30. \u970d\u592b\u65af\u5854\u7279\u5b9a\u5f8b (Hofstadter’s Law)<\/p>\n\n\n\n

\u5b8c\u6210\u4e00\u9879\u4efb\u52a1\u6240\u9700\u7684\u65f6\u95f4\u603b\u662f\u6bd4\u9884\u671f\u7684\u957f\uff0c\u5373\u4f7f\u4f60\u5df2\u7ecf\u8003\u8651\u5230\u4e86\u8fd9\u6761\u5b9a\u5f8b\u672c\u8eab 17<\/sup>\u3002\u8fd9\u53cd\u6620\u4e86\u4eba\u7c7b\u5728\u9884\u6d4b\u590d\u6742\u5de5\u7a0b\u8fdb\u5ea6\u65f6\u7684\u666e\u904d\u4e50\u89c2\u504f\u5dee\u3002<\/p>\n\n\n\n

31. \u5e03\u9c81\u514b\u65af\u5b9a\u5f8b (Brooks’ Law)<\/p>\n\n\n\n

\u5411\u4e00\u4e2a\u5df2\u7ecf\u843d\u540e\u7684\u8f6f\u4ef6\u9879\u76ee\u589e\u52a0\u4eba\u624b\uff0c\u53ea\u4f1a\u8ba9\u8be5\u9879\u76ee\u66f4\u52a0\u843d\u540e 17<\/sup>\u3002\u539f\u56e0\u662f\u65b0\u4eba\u7684\u57f9\u8bad\u6210\u672c\u548c\u6c9f\u901a\u8d1f\u8377\u7684\u5448\u6307\u6570\u7ea7\u589e\u957f\u3002<\/p>\n\n\n\n

32. \u970d\u6851\u6548\u5e94 (Hawthorne Effect)<\/p>\n\n\n\n

\u5f53\u5de5\u4eba\u610f\u8bc6\u5230\u81ea\u5df1\u6b63\u5728\u88ab\u89c2\u5bdf\u6216\u5173\u6ce8\u65f6\uff0c\u5176\u751f\u4ea7\u529b\u4f1a\u663e\u8457\u63d0\u5347\uff0c\u65e0\u8bba\u5de5\u4f5c\u73af\u5883\u672c\u8eab\u662f\u5426\u6709\u5b9e\u8d28\u6027\u6539\u5584 2\u3002\u8fd9\u5f3a\u8c03\u4e86\u8f6f\u6027\u53cd\u9988\u5728\u7ec4\u7ec7\u4e2d\u7684\u4f5c\u7528\u3002<\/p>\n\n\n\n

4.2 \u80fd\u529b\u8bc4\u4f30\u4e0e\u664b\u5347\u75c5\u6001<\/strong><\/h3>\n\n\n\n

33. \u5f7c\u5f97\u539f\u7406 (Peter Principle)<\/p>\n\n\n\n

\u5728\u5c42\u7ea7\u7ec4\u7ec7\u4e2d\uff0c\u5458\u5de5\u503e\u5411\u4e8e\u88ab\u63d0\u62d4\u5230\u4ed6\u4eec\u4e0d\u80fd\u80dc\u4efb\u7684\u804c\u4f4d\u4e0a\u3002\u56e0\u4e3a\u4ed6\u4eec\u56e0\u5728\u5f53\u524d\u5c97\u4f4d\u8868\u73b0\u4f18\u5f02\u800c\u83b7\u664b\u5347\uff0c\u76f4\u5230\u5230\u8fbe\u4e00\u4e2a\u4e0d\u518d\u8868\u73b0\u4f18\u5f02\u7684\u5c97\u4f4d\u5e76\u6ede\u7559\u3002<\/p>\n\n\n\n

34. \u9093\u5b81-\u514b\u9c81\u683c\u6548\u5e94 (Dunning-Kruger Effect)<\/p>\n\n\n\n

\u4f4e\u80fd\u529b\u8005\u5f80\u5f80\u4f1a\u7531\u4e8e\u65e0\u6cd5\u8bc6\u522b\u81ea\u5df1\u7684\u5c40\u9650\u6027\u800c\u4ea7\u751f\u8ba4\u77e5\u504f\u5dee\uff0c\u4ece\u800c\u8fc7\u5ea6\u81ea\u4fe1\uff1b\u800c\u9ad8\u80fd\u529b\u8005\u5219\u5bb9\u6613\u7531\u4e8e\u4f4e\u4f30\u81ea\u5df1\u7684\u76f8\u5bf9\u6c34\u5e73\u800c\u4ea7\u751f\u4e0d\u5fc5\u8981\u7684\u81ea\u6211\u6000\u7591 6<\/sup>\u3002<\/p>\n\n\n\n

35. \u8611\u83c7\u6548\u5e94 (Mushroom Effect)<\/p>\n\n\n\n

\u7ec4\u7ec7\u5bf9\u65b0\u4eba\u7684\u7ba1\u7406\u7b56\u7565\uff1a\u5c06\u5176\u653e\u7f6e\u5728\u9634\u6697\u89d2\u843d\uff08\u6253\u6742\uff09\uff0c\u5076\u5c14\u6d47\u70b9\u6c34\uff08\u5fae\u8584\u5956\u52b1\uff09\uff0c\u76f4\u5230\u5176\u6210\u957f\u5230\u80fd\u591f\u201c\u7834\u571f\u800c\u51fa\u201d 12<\/sup>\u3002<\/p>\n\n\n\n

36. \u74e6\u4f26\u8fbe\u6548\u5e94 (Wallenda Effect)<\/p>\n\n\n\n

\u4e3a\u4e86\u8fbe\u5230\u76ee\u7684\u800c\u8fc7\u5ea6\u7d27\u5f20\u3001\u60a3\u5f97\u60a3\u5931\uff0c\u53cd\u800c\u5bfc\u81f4\u5931\u8d25\u3002\u6e90\u81ea\u8d70\u94a2\u4e1d\u5927\u5e08\u74e6\u4f26\u8fbe\u56e0\u8fc7\u5ea6\u62c5\u5fc3\u52a8\u4f5c\u7ec6\u8282\u800c\u5760\u843d\u3002\u542f\u793a\uff1a\u4e13\u6ce8\u4e8e\u8fc7\u7a0b\u800c\u975e\u7ec8\u6781\u7126\u8651\u3002<\/p>\n\n\n\n

\u7b2c\u4e94\u7ae0 \u52a8\u673a\u3001\u60c5\u7eea\u4e0e\u81ea\u6211\u8c03\u8282\uff1a\u5185\u5728\u9a71\u52a8\u7684\u903b\u8f91<\/strong><\/h2>\n\n\n\n

\u81ea\u6211\u8ba4\u77e5\u662f\u5fc3\u7406\u8c03\u8282\u7684\u652f\u70b9\uff0c\u4f46\u8fd9\u4e2a\u652f\u70b9\u5f80\u5f80\u53d7\u5236\u4e8e\u4fdd\u62a4\u81ea\u5c0a\u7684\u672c\u80fd 18<\/sup>\u3002<\/p>\n\n\n\n

5.1 \u81ea\u6211\u4fdd\u62a4\u4e0e\u5f52\u56e0\u504f\u5dee<\/strong><\/h3>\n\n\n\n

37. \u81ea\u5229\u504f\u5dee (Self-serving Bias)<\/p>\n\n\n\n

\u5c06\u6210\u529f\u5f52\u56e0\u4e8e\u5185\u56e0\uff08\u80fd\u529b\u3001\u52aa\u529b\uff09\uff0c\u5c06\u5931\u8d25\u5f52\u56e0\u4e8e\u5916\u56e0\uff08\u8fd0\u6c14\u3001\u4ed6\u4eba\u963b\u788d\uff09 3<\/sup>\u3002\u8fd9\u5728\u77ed\u671f\u5185\u4fdd\u62a4\u4e86\u5fc3\u7406\u5065\u5eb7\uff0c\u4f46\u963b\u788d\u4e86\u53cd\u601d\u80fd\u529b\u3002<\/p>\n\n\n\n

38. \u57fa\u672c\u5f52\u56e0\u9519\u8bef (Fundamental Attribution Error)<\/p>\n\n\n\n

\u5728\u89e3\u91ca\u4ed6\u4eba\u884c\u4e3a\u65f6\uff0c\u8fc7\u5ea6\u5f3a\u8c03\u6027\u683c\u7279\u8d28\u800c\u5ffd\u7565\u60c5\u5883\u538b\u529b 4<\/sup>\u3002\u770b\u5230\u540c\u4e8b\u8fdf\u5230\uff0c\u6211\u4eec\u4f1a\u89c9\u5f97\u4ed6\u201c\u61d2\u6563\u201d\uff0c\u5374\u4e0d\u77e5\u9053\u4ed6\u53ef\u80fd\u906d\u9047\u4e86\u4e0d\u53ef\u6297\u529b\u3002<\/p>\n\n\n\n

39. \u805a\u5149\u706f\u6548\u5e94 (Spotlight Effect)<\/p>\n\n\n\n

\u4e2a\u4f53\u5f80\u5f80\u9ad8\u4f30\u4e86\u4ed6\u4eba\u5173\u6ce8\u81ea\u5df1\u5916\u8868\u548c\u884c\u4e3a\u7684\u7a0b\u5ea6 8<\/sup>\u3002\u4e8b\u5b9e\u4e0a\uff0c\u6bcf\u4e2a\u4eba\u90fd\u5fd9\u4e8e\u5173\u6ce8\u81ea\u5df1\u7684\u201c\u805a\u5149\u706f\u201d\u3002<\/p>\n\n\n\n

40. \u5192\u5145\u8005\u7efc\u5408\u75c7 (Imposter Syndrome)<\/p>\n\n\n\n

\u5373\u4fbf\u53d6\u5f97\u4e86\u5de8\u5927\u6210\u529f\uff0c\u4e2a\u4f53\u4ecd\u6df1\u611f\u81ea\u5df1\u662f\u4e2a\u201c\u9a97\u5b50\u201d\uff0c\u8ba4\u4e3a\u6210\u529f\u5168\u51ed\u8fd0\u6c14\uff0c\u5e76\u62c5\u5fc3\u6709\u4e00\u5929\u88ab\u63ed\u7a7f 11<\/sup>\u3002\u8fd9\u5e38\u89c1\u4e8e\u9ad8\u6210\u5c31\u7fa4\u4f53\u3002<\/p>\n\n\n\n

5.2 \u60c5\u611f\u9a71\u52a8\u4e0e\u52a8\u673a\u5f3a\u5316<\/strong><\/h3>\n\n\n\n

41. \u4e60\u5f97\u6027\u65e0\u52a9 (Learned Helplessness)<\/p>\n\n\n\n

\u5728\u7ecf\u5386\u4e86\u53cd\u590d\u7684\u3001\u65e0\u6cd5\u9003\u8131\u7684\u8d1f\u9762\u523a\u6fc0\u540e\uff0c\u4e2a\u4f53\u5373\u4fbf\u5728\u73af\u5883\u6539\u5584\u540e\u4e5f\u4f1a\u4e27\u5931\u5c1d\u8bd5\u7684\u52c7\u6c14 12<\/sup>\u3002\u8fd9\u662f\u6291\u90c1\u75c7\u7684\u91cd\u8981\u5fc3\u7406\u673a\u5236\u3002<\/p>\n\n\n\n

42. \u5b9c\u5bb6\u6548\u5e94 (IKEA Effect)<\/p>\n\n\n\n

\u4eba\u4eec\u4f1a\u5bf9\u81ea\u5df1\u4eb2\u624b\u53c2\u4e0e\u5236\u4f5c\u7684\u7269\u54c1\u7ed9\u4e88\u4e0d\u6210\u6bd4\u4f8b\u7684\u9ad8\u4f30\u503c 3<\/sup>\u3002\u5728\u5de5\u4f5c\u4e2d\u5f15\u5165\u201c\u53c2\u4e0e\u5f0f\u7ba1\u7406\u201d\uff0c\u80fd\u663e\u8457\u63d0\u5347\u5458\u5de5\u7684\u5fe0\u8bda\u5ea6\u3002<\/p>\n\n\n\n

43. \u635f\u5931\u89c4\u907f (Loss Aversion)<\/p>\n\n\n\n

\u4eba\u7c7b\u5bf9\u5931\u53bb\u7684\u6050\u60e7\u8fdc\u8d85\u5bf9\u83b7\u5f97\u7684\u6e34\u671b 7<\/sup>\u3002\u8fd9\u4f7f\u5f97\u201c\u7ef4\u6301\u73b0\u72b6\u201d\u6210\u4e3a\u4e86\u5927\u591a\u6570\u4eba\u7684\u9ed8\u8ba4\u9009\u62e9\u3002<\/p>\n\n\n\n

44. \u5cf0\u7ec8\u5b9a\u5f8b (Peak-end Rule)<\/p>\n\n\n\n

\u4eba\u4eec\u5bf9\u4e00\u6bb5\u7ecf\u5386\u7684\u8bc4\u4ef7\uff0c\u4e3b\u8981\u7531\u5176\u611f\u5b98\u9ad8\u5cf0\uff08\u6700\u5f3a\u70c8\u65f6\u523b\uff09\u548c\u7ed3\u5c3e\uff08\u6700\u540e\u65f6\u523b\uff09\u51b3\u5b9a\uff0c\u800c\u5ffd\u7565\u8fc7\u7a0b\u7684\u957f\u77ed 3<\/sup>\u3002\u5728\u5ba2\u6237\u4f53\u9a8c\u8bbe\u8ba1\u4e2d\uff0c\u4e00\u4e2a\u60ca\u559c\u7684\u7ed3\u5c3e\u6bd4\u5e73\u6de1\u7684\u5168\u8fc7\u7a0b\u66f4\u91cd\u8981\u3002<\/p>\n\n\n\n

\u7b2c\u516d\u7ae0 200\u9879\u5fc3\u7406\u5b66\u5168\u666f\u6548\u5e94\u901f\u67e5\u56fe\u9274<\/strong><\/h2>\n\n\n\n

6.1 \u5b66\u4e60\u4e0e\u8ba4\u77e5\u6df1\u6f5c (45-80)<\/strong><\/h3>\n\n\n\n
    \n
  1. \u95f4\u9694\u6548\u5e94 (Spacing Effect)<\/strong>\uff1a\u5c06\u5b66\u4e60\u5185\u5bb9\u5206\u6563\u5728\u4e0d\u540c\u65f6\u95f4\uff0c\u8bb0\u5fc6\u6548\u679c\u4f18\u4e8e\u96c6\u4e2d\u7a81\u51fb 11<\/sup>\u3002<\/li>\n\n\n\n
  2. \u6d4b\u8bd5\u6548\u5e94 (Testing Effect)<\/strong>\uff1a\u63d0\u53d6\u7ec3\u4e60\uff08\u8003\u8bd5\uff09\u6bd4\u5355\u7eaf\u7684\u518d\u6b21\u9605\u8bfb\u66f4\u6709\u5229\u4e8e\u957f\u671f\u5b58\u50a8 11<\/sup>\u3002<\/li>\n\n\n\n
  3. \u751f\u6210\u6548\u5e94 (Generation Effect)<\/strong>\uff1a\u81ea\u5df1\u6982\u62ec\u4ea7\u51fa\u7684\u4fe1\u606f\u6bd4\u88ab\u52a8\u9605\u8bfb\u7684\u4fe1\u606f\u8bb0\u5fc6\u66f4\u6df1 11<\/sup>\u3002<\/li>\n\n\n\n
  4. \u81ea\u8003\u6548\u5e94 (Testing Effect)<\/strong>\uff1a\u81ea\u6d4b\u662f\u6253\u7834\u201c\u719f\u7ec3\u5e7b\u89c9\u201d\u7684\u6700\u4f73\u624b\u6bb5\u3002<\/li>\n\n\n\n
  5. \u8bed\u5883\u4f9d\u5b58\u8bb0\u5fc6 (Context-dependent Memory)<\/strong>\uff1a\u5728\u5b66\u4e60\u65f6\u7684\u73af\u5883\u8fdb\u884c\u590d\u8bd5\uff0c\u80fd\u83b7\u5f97\u66f4\u9ad8\u7684\u63d0\u53d6\u7387 7<\/sup>\u3002<\/li>\n\n\n\n
  6. \u72b6\u6001\u4f9d\u5b58\u8bb0\u5fc6<\/strong>\uff1a\u751f\u7406\u6216\u60c5\u7eea\u72b6\u6001\uff08\u5982\u6e05\u9192\u6216\u9189\u9152\uff09\u4e00\u81f4\u65f6\uff0c\u8bb0\u5fc6\u63d0\u53d6\u66f4\u5bb9\u6613\u3002<\/li>\n\n\n\n
  7. \u8054\u89c9\u6548\u5e94 (Synesthesia)<\/strong>\uff1a\u591a\u91cd\u611f\u5b98\u523a\u6fc0\uff08\u8272\u3001\u97f3\u3001\u55c5\uff09\u5171\u540c\u53c2\u4e0e\u8bb0\u5fc6\u3002<\/li>\n\n\n\n
  8. \u5143\u8ba4\u77e5\u504f\u8bef<\/strong>\uff1a\u5bf9\u81ea\u5df1\u8ba4\u77e5\u8fc7\u7a0b\u7684\u8ba4\u77e5\u5931\u51c6\uff0c\u5bfc\u81f4\u76f2\u76ee\u81ea\u4fe1\u3002<\/li>\n\n\n\n
  9. \u5fc3\u6d41\u4f53\u9a8c (Flow)<\/strong>\uff1a\u5728\u9ad8\u5ea6\u6311\u6218\u4e0e\u9ad8\u5ea6\u6280\u80fd\u5339\u914d\u65f6\u4ea7\u751f\u7684\u5fd8\u6211\u4e13\u6ce8\u3002<\/li>\n\n\n\n
  10. \u76ae\u683c\u9a6c\u5229\u7fc1\u6548\u5e94 (Pygmalion Effect)<\/strong>\uff1a\u4ed6\u4eba\u7684\u9ad8\u671f\u5f85\u4f1a\u8f6c\u5316\u4e3a\u4e2a\u4f53\u7684\u5b9e\u9645\u8868\u73b0 11<\/sup>\u3002<\/li>\n\n\n\n
  11. \u6208\u83b1\u59c6\u6548\u5e94 (Golem Effect)<\/strong>\uff1a\u6d88\u6781\u671f\u671b\u5bfc\u81f4\u8868\u73b0\u4e0b\u964d\u7684\u503e\u5411 11<\/sup>\u3002<\/li>\n\n\n\n
  12. \u9178\u8461\u8404\u6548\u5e94 (Sour Grapes)<\/strong>\uff1a\u56e0\u5f97\u4e0d\u5230\u800c\u8d2c\u4f4e\u76ee\u6807\uff0c\u4ee5\u7f13\u89e3\u8ba4\u77e5\u5931\u8c03 12<\/sup>\u3002<\/li>\n\n\n\n
  13. \u751c\u67e0\u6aac\u6548\u5e94<\/strong>\uff1a\u5bf9\u5df2\u7ecf\u62e5\u6709\u7684\u7cdf\u7cd5\u7ed3\u679c\u8fdb\u884c\u8fc7\u5ea6\u7f8e\u5316\u3002<\/li>\n\n\n\n
  14. \u7834\u7a97\u6548\u5e94 (Broken Windows)<\/strong>\uff1a\u73af\u5883\u4e2d\u7684\u5fae\u5c0f\u7834\u574f\u82e5\u4e0d\u4fee\u8865\uff0c\u4f1a\u6697\u793a\u72af\u7f6a\u4ee3\u4ef7\u6781\u4f4e 12<\/sup>\u3002<\/li>\n\n\n\n
  15. \u9e1f\u7b3c\u6548\u5e94 (Birdcage Effect)<\/strong>\uff1a\u5076\u7136\u83b7\u5f97\u4e00\u4ef6\u4e0d\u9700\u8981\u7684\u4e1c\u897f\uff0c\u4f1a\u4e0d\u65ad\u6dfb\u52a0\u66f4\u591a\u4e1c\u897f\u6765\u5339\u914d\u5b83 12<\/sup>\u3002<\/li>\n\n\n\n
  16. \u8d1d\u52c3\u89c4\u5f8b (Bebb Law)<\/strong>\uff1a\u5f53\u539f\u523a\u6fc0\u8fc7\u5f3a\uff0c\u540e\u7eed\u7684\u540c\u7c7b\u523a\u6fc0\u5fc5\u987b\u5927\u5e45\u589e\u52a0\u624d\u80fd\u88ab\u5bdf\u89c9 12<\/sup>\u3002<\/li>\n\n\n\n
  17. \u51b7\u70ed\u6c34\u6548\u5e94<\/strong>\uff1a\u5224\u65ad\u6807\u51c6\u968f\u5fc3\u7406\u53c2\u7167\u70b9\u7684\u53d8\u5316\u800c\u5267\u70c8\u6ce2\u52a8 12<\/sup>\u3002<\/li>\n\n\n\n
  18. \u7011\u5e03\u5fc3\u7406\u6548\u5e94<\/strong>\uff1a\u65e0\u5fc3\u4e4b\u8a00\u5728\u4ed6\u4eba\u5fc3\u4e2d\u5f15\u53d1\u6301\u7eed\u4e0d\u65ad\u7684\u6ce2\u6f9c 12<\/sup>\u3002<\/li>\n\n\n\n
  19. \u7a7a\u767d\u6548\u5e94 (Blank Effect)<\/strong>\uff1a\u9002\u5ea6\u7684\u7559\u767d\u80fd\u6fc0\u53d1\u53d7\u4f17\u7684\u8054\u60f3\u4e0e\u53c2\u4e0e\u611f 12<\/sup>\u3002<\/li>\n\n\n\n
  20. \u915d\u917f\u6548\u5e94 (Incubation Effect)<\/strong>\uff1a\u9047\u5230\u74f6\u9888\u65f6\u6682\u65f6\u653e\u4e0b\uff0c\u6f5c\u610f\u8bc6\u5f80\u5f80\u5728\u4f11\u606f\u65f6\u627e\u5230\u7b54\u6848 12<\/sup>\u3002<\/li>\n\n\n\n
  21. \u6697\u793a\u6548\u5e94 (Suggestion)<\/strong>\uff1a\u65e0\u610f\u8bc6\u5730\u63a5\u53d7\u4ed6\u4eba\u7684\u610f\u89c1\u6216\u73af\u5883\u7ebf\u7d22\u7684\u6307\u5f15 13<\/sup>\u3002<\/li>\n\n\n\n
  22. \u89e6\u6469\u6548\u5e94<\/strong>\uff1a\u8eab\u4f53\u63a5\u89e6\uff08\u5982\u62e5\u62b1\uff09\u5bf9\u751f\u7406\u548c\u5fc3\u7406\u5065\u5eb7\u7684\u6781\u5927\u4fc3\u8fdb\u4f5c\u7528 13<\/sup>\u3002<\/li>\n\n\n\n
  23. \u6d77\u6f6e\u6548\u5e94<\/strong>\uff1a\u7ec4\u7ec7\u5bf9\u4eba\u624d\u7684\u5f15\u529b\u5982\u6708\u4eae\u5f15\u53d1\u6f6e\u6c50\uff0c\u51b3\u5b9a\u4e86\u6d41\u52a8\u65b9\u5411 13<\/sup>\u3002<\/li>\n\n\n\n
  24. \u8d1d\u5c14\u6548\u5e94<\/strong>\uff1a\u5353\u8d8a\u9886\u5bfc\u8005\u5e94\u5177\u6709\u7518\u4e3a\u4eba\u68af\u7684\u80f8\u6000\uff0c\u9009\u62d4\u6bd4\u81ea\u5df1\u5f3a\u7684\u4eba 13<\/sup>\u3002<\/li>\n\n\n\n
  25. \u6697\u793a\u611f\u5e94<\/strong>\uff1a\u7fa4\u4f53\u4e2d\u7684\u60c5\u7eea\u548c\u884c\u4e3a\u5177\u6709\u6781\u5f3a\u7684\u4f20\u67d3\u6027 13<\/sup>\u3002<\/li>\n\n\n\n
  26. \u81ea\u6211\u53c2\u7167\u6548\u5e94 (Self-reference Effect)<\/strong>\uff1a\u4e0e\u81ea\u6211\u5f62\u8c61\u6302\u94a9\u7684\u4fe1\u606f\u6700\u5bb9\u6613\u8fdb\u5165\u957f\u65f6\u8bb0\u5fc6 12<\/sup>\u3002<\/li>\n\n\n\n
  27. \u9a6c\u592a\u6548\u5e94 (Matthew Effect)<\/strong>\uff1a\u8d44\u6e90\u79ef\u7d2f\u4e2d\u7684\u5f3a\u8005\u6108\u5f3a\u3001\u5f31\u8005\u6108\u5f31\u73b0\u8c61 11<\/sup>\u3002<\/li>\n\n\n\n
  28. \u523a\u732c\u6cd5\u5219<\/strong>\uff1a\u4eba\u9645\u4ea4\u5f80\u4e2d\u9700\u8981\u5bfb\u627e\u90a3\u4e2a\u201c\u51b7\u6696\u81ea\u77e5\u201d\u7684\u6700\u4f18\u8ddd\u79bb\u3002<\/li>\n\n\n\n
  29. \u624b\u8868\u5b9a\u5f8b<\/strong>\uff1a\u5b58\u5728\u4e24\u4e2a\u4ee5\u4e0a\u51b2\u7a81\u6807\u51c6\u65f6\uff0c\u4f1a\u5bfc\u81f4\u51b3\u7b56\u762b\u75ea\u3002<\/li>\n\n\n\n
  30. \u5965\u5361\u59c6\u5243\u5200<\/strong>\uff1a\u82e5\u65e0\u5fc5\u8981\uff0c\u52ff\u589e\u5b9e\u4f53\u2014\u2014\u8ffd\u6c42\u6700\u7b80\u5355\u7684\u89e3\u91ca\u3002<\/li>\n\n\n\n
  31. \u58a8\u83f2\u5b9a\u5f8b (Murphy’s Law)<\/strong>\uff1a\u53ea\u8981\u5b58\u5728\u51fa\u9519\u7684\u53ef\u80fd\u6027\uff0c\u8be5\u9519\u8bef\u5c31\u4e00\u5b9a\u4f1a\u53d1\u751f 12<\/sup>\u3002<\/li>\n\n\n\n
  32. \u6d77\u683c\u529b\u65af\u6548\u5e94<\/strong>\uff1a\u51a4\u51a4\u76f8\u62a5\u5bfc\u81f4\u7684\u4ec7\u6068\u87ba\u65cb\uff0c\u6700\u7ec8\u4f7f\u53cc\u65b9\u90fd\u53d7\u5230\u6bc1\u706d\u6027\u6253\u51fb 12<\/sup>\u3002<\/li>\n\n\n\n
  33. \u7f04\u9ed8\u6548\u5e94 (Mumble Effect)<\/strong>\uff1a\u56e0\u62c5\u5fc3\u6743\u5a01\u60e9\u7f5a\u800c\u9009\u62e9\u95ed\u5634\u6216\u53ea\u8bf4\u597d\u542c\u7684\u8bdd 12<\/sup>\u3002<\/li>\n\n\n\n
  34. \u98de\u8f6e\u6548\u5e94<\/strong>\uff1a\u521d\u59cb\u6781\u5176\u8270\u96be\uff0c\u4f46\u60ef\u6027\u79ef\u7d2f\u540e\u7684\u7206\u53d1\u529b\u60ca\u4eba\u3002<\/li>\n\n\n\n
  35. \u91ce\u9a6c\u7ed3\u5c40<\/strong>\uff1a\u56e0\u7410\u788e\u5c0f\u4e8b\u4ea7\u751f\u5267\u70c8\u60c5\u7eea\uff0c\u5bfc\u81f4\u4e25\u91cd\u7684\u81ea\u6211\u5fc3\u7406\u4f24\u5bb3 12<\/sup>\u3002<\/li>\n\n\n\n
  36. \u8fc7\u5ea6\u7406\u7531\u6548\u5e94<\/strong>\uff1a\u8fc7\u5206\u7684\u5916\u90e8\u5956\u52b1\u4f1a\u627c\u6740\u539f\u6709\u7684\u5185\u5728\u5174\u8da3\uff08\u5265\u593a\u611f\uff09\u3002<\/li>\n<\/ol>\n\n\n\n

    6.2 \u793e\u4f1a\u535a\u5f08\u4e0e\u6743\u529b\u573a\u57df (81-120)<\/strong><\/h3>\n\n\n\n
      \n
    1. \u8bc1\u5b9e\u504f\u89c1 (Confirmation Bias)<\/strong>\uff1a\u53ea\u770b\u90a3\u4e9b\u652f\u6301\u81ea\u5df1\u89c2\u70b9\u7684\u8bc1\u636e 5<\/sup>\u3002<\/li>\n\n\n\n
    2. \u56de\u58f0\u5ba4\u6548\u5e94 (Echo Chamber)<\/strong>\uff1a\u5728\u76f8\u4f3c\u5708\u5b50\u4e2d\u4e0d\u65ad\u5f3a\u5316\u539f\u6709\u504f\u89c1\u3002<\/li>\n\n\n\n
    3. \u9006\u53cd\u5fc3\u7406 (Reactance)<\/strong>\uff1a\u5f53\u9009\u62e9\u6743\u53d7\u5230\u5a01\u80c1\u65f6\uff0c\u4f1a\u4ea7\u751f\u5f3a\u70c8\u7684\u53cd\u5411\u64cd\u4f5c\u6b32\u671b\u3002<\/li>\n\n\n\n
    4. \u4e92\u60e0\u539f\u7406 (Reciprocity)<\/strong>\uff1a\u53d7\u4eba\u6069\u60e0\u540e\u4ea7\u751f\u7684\u5f3a\u70c8\u8865\u507f\u538b\u529b\u3002<\/li>\n\n\n\n
    5. \u6743\u5a01\u504f\u89c1 (Authority Bias)<\/strong>\uff1a\u5bf9\u5934\u8854\u3001\u5236\u670d\u6216\u5730\u4f4d\u4ea7\u751f\u76f2\u76ee\u4fe1\u4efb 3<\/sup>\u3002<\/li>\n\n\n\n
    6. \u7a00\u7f3a\u6548\u5e94 (Scarcity)<\/strong>\uff1a\u8d8a\u662f\u5f97\u4e0d\u5230\u7684\u3001\u5269\u4f59\u6781\u5c11\u7684\uff0c\u8d8a\u89c9\u5f97\u73cd\u8d35 7<\/sup>\u3002<\/li>\n\n\n\n
    7. \u793e\u4f1a\u8ba4\u540c (Social Proof)<\/strong>\uff1a\u8ff7\u832b\u65f6\u8ddf\u968f\u5927\u4f17\u7684\u9009\u62e9\u3002<\/li>\n\n\n\n
    8. \u627f\u8bfa\u4e00\u81f4\u6027<\/strong>\uff1a\u4e00\u65e6\u505a\u51fa\u516c\u5f00\u627f\u8bfa\uff0c\u4f1a\u62fc\u547d\u7ef4\u62a4\u884c\u4e3a\u7684\u8fde\u8d2f\u6027\u3002<\/li>\n\n\n\n
    9. \u559c\u597d\u6548\u5e94 (Liking)<\/strong>\uff1a\u4eba\u4eec\u66f4\u5bb9\u6613\u63a5\u53d7\u81ea\u5df1\u559c\u6b22\u7684\u4eba\u6240\u63d0\u51fa\u7684\u8bf7\u6c42\u3002<\/li>\n\n\n\n
    10. \u6050\u60e7\u8bc9\u6c42 (Fear Appeal)<\/strong>\uff1a\u901a\u8fc7\u6e32\u67d3\u707e\u96be\u6027\u540e\u679c\u6765\u9a71\u52a8\u9632\u5fa1\u6027\u884c\u4e3a\u3002<\/li>\n\n\n\n
    11. \u7b2c\u4e09\u4eba\u6548\u5e94<\/strong>\uff1a\u8ba4\u4e3a\u5a92\u4f53\u4fe1\u606f\u53ea\u5f71\u54cd\u522b\u4eba\uff0c\u4e0d\u5f71\u54cd\u81ea\u5df1\u3002<\/li>\n\n\n\n
    12. \u6c89\u9ed8\u7684\u87ba\u65cb<\/strong>\uff1a\u5f53\u4e2a\u4eba\u53d1\u73b0\u81ea\u5df1\u7684\u89c2\u70b9\u662f\u5c11\u6570\u6d3e\u65f6\uff0c\u4f1a\u8d8b\u4e8e\u6c89\u9ed8\u4ee5\u9632\u5b64\u7acb\u3002<\/li>\n\n\n\n
    13. \u7fa4\u4f53\u6781\u5316<\/strong>\uff1a\u5728\u7fa4\u4f53\u8ba8\u8bba\u4e2d\uff0c\u539f\u672c\u4e2d\u7acb\u7684\u89c2\u70b9\u4f1a\u8d70\u5411\u6781\u7aef\u3002<\/li>\n\n\n\n
    14. \u56e2\u4f53\u8ff7\u601d (Groupthink)<\/strong>\uff1a\u4e3a\u4e86\u7fa4\u4f53\u548c\u8c10\u800c\u538b\u5236\u6279\u5224\u6027\u601d\u7ef4\u3002<\/li>\n\n\n\n
    15. \u53bb\u4e2a\u6027\u5316 (Deindividuation)<\/strong>\uff1a\u8eab\u5904\u533f\u540d\u7fa4\u4f53\u4e2d\u65f6\uff0c\u4e2a\u4f53\u7684\u793e\u4f1a\u51c6\u5219\u7ea6\u675f\u529b\u964d\u4f4e\u3002<\/li>\n\n\n\n
    16. \u53d7\u5bb3\u8005\u504f\u89c1 (Victim Blaming)<\/strong>\uff1a\u4e3a\u4e86\u7ef4\u6301\u201c\u516c\u6b63\u4e16\u754c\u201d\u4fe1\u5ff5\u800c\u8d23\u5907\u53d7\u96be\u8005\u3002<\/li>\n\n\n\n
    17. \u672c\u65cf\u504f\u89c1 (In-group Bias)<\/strong>\uff1a\u5929\u7136\u8ba4\u4e3a\u81ea\u5df1\u7684\u65cf\u7fa4\u6bd4\u5916\u90e8\u65cf\u7fa4\u66f4\u4f18\u79c0 3<\/sup>\u3002<\/li>\n\n\n\n
    18. \u5916\u7fa4\u4f53\u540c\u8d28\u6027\u504f\u5dee<\/strong>\uff1a\u8ba4\u4e3a\u201c\u4ed6\u4eec\u201d\u90fd\u662f\u4e00\u6837\u7684\uff0c\u800c\u201c\u6211\u4eec\u201d\u662f\u4e2a\u6027\u9c9c\u660e\u7684 9<\/sup>\u3002<\/li>\n\n\n\n
    19. \u516c\u6b63\u4e16\u754c\u5047\u8bbe (Just-World Hypothesis)<\/strong>\uff1a\u8ba4\u4e3a\u4e16\u754c\u662f\u516c\u5e73\u7684\uff0c\u53d7\u82e6\u5fc5\u6709\u539f\u56e0 6<\/sup>\u3002<\/li>\n\n\n\n
    20. \u9519\u8bef\u5f52\u56e0 (Misattribution)<\/strong>\uff1a\u5fc3\u8df3\u52a0\u901f\u65f6\uff0c\u5206\u4e0d\u6e05\u662f\u6050\u60e7\u8fd8\u662f\u5fc3\u52a8\u3002<\/li>\n\n\n\n
    21. \u540a\u6865\u6548\u5e94<\/strong>\uff1a\u5728\u5371\u9669\u5883\u9047\u4e2d\u4ea7\u751f\u7684\u751f\u7406\u6fc0\u8d77\u88ab\u8bef\u8ba4\u4e3a\u604b\u7231\u611f\u3002<\/li>\n\n\n\n
    22. \u8a79\u59c6\u65af-\u5170\u683c\u7406\u8bba<\/strong>\uff1a\u5148\u6709\u751f\u7406\u53cd\u5e94\uff08\u6d41\u6cea\uff09\uff0c\u540e\u6709\u5fc3\u7406\u611f\u89c9\uff08\u60b2\u4f24\uff09\u3002<\/li>\n\n\n\n
    23. \u574e\u519c-\u5df4\u5fb7\u7406\u8bba<\/strong>\uff1a\u751f\u7406\u6fc0\u6d3b\u4e0e\u5fc3\u7406\u611f\u53d7\u540c\u65f6\u53d1\u751f\uff0c\u4e92\u4e0d\u4e3a\u56e0\u679c\u3002<\/li>\n\n\n\n
    24. \u60c5\u7eea\u611f\u67d3 (Emotional Contagion)<\/strong>\uff1a\u4e00\u4e2a\u4eba\u54ed\uff0c\u5468\u56f4\u4eba\u4e5f\u611f\u5230\u538b\u6291\u3002<\/li>\n\n\n\n
    25. \u5b89\u6170\u5242\u6548\u5e94 (Placebo Effect)<\/strong>\uff1a\u5fc3\u7406\u9884\u671f\u5bfc\u81f4\u7684\u751f\u7406\u75c7\u72b6\u771f\u5b9e\u6539\u5584 11<\/sup>\u3002<\/li>\n\n\n\n
    26. \u53cd\u5b89\u6170\u5242\u6548\u5e94 (Nocebo Effect)<\/strong>\uff1a\u575a\u4fe1\u836f\u7269\u6709\u5bb3\u65f6\u51fa\u73b0\u7684\u771f\u5b9e\u4e0d\u826f\u53cd\u5e94 11<\/sup>\u3002<\/li>\n\n\n\n
    27. \u767d\u718a\u6548\u5e94 (Ironic Process Theory)<\/strong>\uff1a\u8d8a\u662f\u4e0d\u60f3\u53bb\u60f3\uff0c\u90a3\u4ef6\u4e8b\u8d8a\u6325\u4e4b\u4e0d\u53bb\u3002<\/li>\n\n\n\n
    28. \u66dd\u5149\u6548\u5e94 (Mere Exposure Effect)<\/strong>\uff1a\u4ec5\u4ec5\u56e0\u4e3a\u591a\u6b21\u9732\u9762\u5c31\u589e\u52a0\u4e86\u597d\u611f\u5ea6 3<\/sup>\u3002<\/li>\n\n\n\n
    29. \u51fa\u4e11\u6548\u5e94 (Pratfall Effect)<\/strong>\uff1a\u4f18\u79c0\u7684\u4eba\u5076\u5c14\u7684\u5c0f\u5931\u8bef\u53cd\u800c\u4f7f\u5176\u66f4\u5177\u9b45\u529b 11<\/sup>\u3002<\/li>\n\n\n\n
    30. \u7f8e\u4e3d\u504f\u89c1<\/strong>\uff1a\u4eba\u7c7b\u5bf9\u7f8e\u5b66\u7279\u5f81\u7684\u8fdb\u5316\u6027\u504f\u5411\uff0c\u5f71\u54cd\u4e86\u53f8\u6cd5\u548c\u62db\u8058\u516c\u5e73\u3002<\/li>\n\n\n\n
    31. \u9996\u56e0\u6548\u5e94 (Primacy Effect)<\/strong>\uff1a\u521d\u6b21\u89c1\u9762\u7684\u4e09\u79d2\u949f\u51b3\u5b9a\u4e86\u957f\u671f\u5b9a\u52bf 8<\/sup>\u3002<\/li>\n\n\n\n
    32. \u8fd1\u56e0\u6548\u5e94 (Recency Effect)<\/strong>\uff1a\u6700\u540e\u4e00\u6b21\u4e92\u52a8\u7684\u8d28\u91cf\u62b9\u6740\u4e86\u4e4b\u524d\u7684\u529f\u52b3 8<\/sup>\u3002<\/li>\n\n\n\n
    33. \u9ad8\u5cf0\u7ed3\u5c3e\u5b9a\u5f8b (Peak-end Rule)<\/strong>\uff1a\u7ed3\u5c40\u7684\u611f\u53d7\u5b9a\u4e49\u4e86\u5168\u8fc7\u7a0b\u7684\u4ef7\u503c 3<\/sup>\u3002<\/li>\n\n\n\n
    34. \u6c89\u6d78\u6548\u5e94<\/strong>\uff1a\u6c89\u8ff7\u4e8e\u6e38\u620f\u6216\u5c0f\u8bf4\u65f6\u4ea7\u751f\u7684\u8de8\u65f6\u95f4\u7ef4\u5ea6\u9519\u89c9\u3002<\/li>\n\n\n\n
    35. \u8521\u683c\u5c3c\u514b\u6548\u5e94<\/strong>\uff1a\u90a3\u79cd\u201c\u6ca1\u505a\u5b8c\u201d\u7684\u9a9a\u75d2\u611f\u6700\u96be\u5e73\u590d\u3002<\/li>\n\n\n\n
    36. \u805a\u5149\u706f\u6548\u5e94<\/strong>\uff1a\u5176\u5b9e\u6ca1\u4eba\u50cf\u4f60\u90a3\u6837\u76ef\u7740\u4f60\u7684\u90a3\u9897\u75d8\u75d8\u3002<\/li>\n\n\n\n
    37. \u5192\u5145\u8005\u7efc\u5408\u75c7<\/strong>\uff1a\u6210\u529f\u80cc\u540e\u7684\u6781\u5ea6\u5fc3\u865a\u4e0e\u81ea\u6211\u6000\u7591\u3002<\/li>\n\n\n\n
    38. \u9093\u5b81-\u514b\u9c81\u683c\u6548\u5e94<\/strong>\uff1a\u534a\u6876\u6c34\u6700\u5bb9\u6613\u6643\u8361\u3002<\/li>\n\n\n\n
    39. \u786e\u8ba4\u504f\u5dee<\/strong>\uff1a\u4eba\u4eec\u53ea\u613f\u610f\u9605\u8bfb\u90a3\u4e9b\u4e0e\u81ea\u5df1\u7acb\u573a\u4e00\u81f4\u7684\u62a5\u7eb8\u3002<\/li>\n\n\n\n
    40. \u654c\u5bf9\u5a92\u4f53\u6548\u5e94 (Hostile Media Effect)<\/strong>\uff1a\u4e2d\u7acb\u62a5\u9053\u88ab\u53cc\u65b9\u90fd\u89c6\u4e3a\u5bf9\u65b9\u7684\u4f20\u58f0\u7b52 2<\/sup>\u3002<\/li>\n<\/ol>\n\n\n\n

      6.3 \u7ecf\u6d4e\u7406\u6027\u4e0e\u51b3\u7b56\u626d\u66f2 (121-160)<\/strong><\/h3>\n\n\n\n
        \n
      1. \u6c89\u6ca1\u6210\u672c\u8c2c\u8bef (Sunk Cost)<\/strong>\uff1a\u56e0\u4e3a\u7535\u5f71\u7968\u4e70\u4e86\uff0c\u54ea\u6015\u518d\u96be\u770b\u4e5f\u8981\u5750\u5b8c 1<\/sup>\u3002<\/li>\n\n\n\n
      2. \u635f\u5931\u538c\u6076<\/strong>\uff1a\u4e22\u6389100\u5757\u7684\u75db\u82e6\uff0c\u9700\u8981\u6361\u5230200\u5757\u624d\u80fd\u62b5\u6d88\u3002<\/li>\n\n\n\n
      3. \u7980\u8d4b\u6548\u5e94<\/strong>\uff1a\u4e00\u65e6\u4e1c\u897f\u53d8\u6210\u81ea\u5df1\u7684\uff0c\u4f30\u503c\u5c31\u83ab\u540d\u7ffb\u4e86\u4e00\u500d 3<\/sup>\u3002<\/li>\n\n\n\n
      4. \u73b0\u72b6\u504f\u5dee<\/strong>\uff1a\u6362\u4e2a\u624b\u673a\u5957\u9910\u592a\u9ebb\u70e6\uff0c\u54ea\u6015\u73b0\u6709\u7684\u5f88\u8d35\u3002<\/li>\n\n\n\n
      5. \u5fc3\u7406\u8d26\u6237 (Mental Accounting)<\/strong>\uff1a\u8d62\u6765\u7684\u94b1\u82b1\u5f97\u8c6a\u723d\uff0c\u8d5a\u6765\u7684\u94b1\u6263\u5f97\u8981\u547d\u3002<\/li>\n\n\n\n
      6. \u5c0f\u6570\u5b9a\u5f8b\u503e\u5411<\/strong>\uff1a\u628a\u5076\u7136\u7684\u51e0\u6b21\u6210\u529f\u5f53\u6210\u4e86\u5fc5\u7136\u7684\u89c4\u5f8b\u3002<\/li>\n\n\n\n
      7. \u951a\u5b9a\u6548\u5e94<\/strong>\uff1a\u5148\u62a5\u4ef7\u7684\u4eba\u5728\u5fc3\u7406\u4e0a\u5360\u9886\u4e86\u9ad8\u5730\u3002<\/li>\n\n\n\n
      8. \u6846\u67b6\u6548\u5e94<\/strong>\uff1a\u6362\u79cd\u8bf4\u6cd5\uff0c\u624b\u672f\u540c\u610f\u7387\u4ece50%\u53d8\u523080%\u3002<\/li>\n\n\n\n
      9. \u53ef\u5f97\u6027\u504f\u5dee<\/strong>\uff1a\u6700\u8fd1\u770b\u8fc7\u7684\u4e00\u573a\u7a7a\u96be\u65b0\u95fb\uff0c\u8ba9\u4eba\u51b3\u5b9a\u6539\u5750\u9ad8\u94c1\u3002<\/li>\n\n\n\n
      10. \u4ee3\u8868\u6027\u542f\u53d1\u6cd5<\/strong>\uff1a\u89c9\u5f97\u90a3\u4e2a\u6234\u773c\u955c\u7684\u4eba\u4e00\u5b9a\u662f\u5927\u5b66\u6559\u6388\uff0c\u800c\u4e0d\u662f\u519c\u6c11\u3002<\/li>\n\n\n\n
      11. \u5bf9\u6bd4\u6548\u5e94<\/strong>\uff1a\u5148\u770b\u4e2a\u70c2\u623f\u5b50\uff0c\u518d\u770b\u4e2a\u666e\u901a\u623f\u5b50\uff0c\u666e\u901a\u623f\u5b50\u53d8\u8c6a\u5b85\u3002<\/li>\n\n\n\n
      12. \u7a00\u7f3a\u6548\u5e94<\/strong>\uff1a\u6700\u540e\u4e09\u4ef6\uff0c\u624b\u6162\u65e0\uff0c\u5bfc\u81f4\u4e86\u975e\u7406\u6027\u62a2\u8d2d\u3002<\/li>\n\n\n\n
      13. \u8bf1\u9975\u6548\u5e94<\/strong>\uff1a30\u5143\u7684\u5c0f\u676f\u548c50\u5143\u7684\u5927\u676f\u4e4b\u95f4\uff0c\u653e\u4e2a45\u5143\u7684\u4e2d\u676f\uff0c\u4eba\u4eec\u5168\u9009\u5927\u676f\u3002<\/li>\n\n\n\n
      14. \u4ef7\u683c\u6697\u793a<\/strong>\uff1a\u8d8a\u8d35\u7684\u836f\u6548\u679c\u8d8a\u597d\u7684\u9519\u89c9\u3002<\/li>\n\n\n\n
      15. \u5fc3\u7406\u5b9a\u4ef7<\/strong>\uff1a.99\u5c3e\u6570\u5e26\u6765\u7684\u6781\u4f4e\u4ef7\u683c\u8054\u60f3\u3002<\/li>\n\n\n\n
      16. \u9762\u989d\u6548\u5e94<\/strong>\uff1a\u4e00\u767e\u5757\u6574\u949e\u80fd\u62ff\u5f88\u4e45\uff0c\u4e00\u65e6\u7834\u5f00\uff0c\u77ac\u95f4\u82b1\u5149\u3002<\/li>\n\n\n\n
      17. \u652f\u4ed8\u75db\u82e6<\/strong>\uff1a\u5237\u5361\u65f6\u795e\u7ecf\u56de\u8def\u7684\u8d1f\u9762\u53cd\u9988\u4f4e\u4e8e\u4ed8\u73b0\u3002<\/li>\n\n\n\n
      18. \u72c4\u5fb7\u7f57\u6548\u5e94<\/strong>\uff1a\u4e3a\u4e86\u914d\u4e0a\u4e00\u53cc\u6602\u8d35\u7684\u76ae\u978b\uff0c\u4e70\u4e86\u4e00\u5957\u66f4\u8d35\u7684\u897f\u88c5 11<\/sup>\u3002<\/li>\n\n\n\n
      19. \u5355\u4f4d\u6548\u5e94<\/strong>\uff1a\u540c\u6837\u7684\u86cb\u7cd5\uff0c\u5207\u62108\u5757\u5403\u7684\u4eba\u6bd4\u5207\u62104\u5757\u5403\u7684\u4eba\u66f4\u6709\u9971\u8179\u611f\u3002<\/li>\n\n\n\n
      20. \u786e\u5b9a\u6027\u6548\u5e94<\/strong>\uff1a\u4eba\u4eec\u75af\u72c2\u8ffd\u6c42100%\u7684\u786e\u5b9a\uff0c\u54ea\u6015\u4e3a\u6b64\u727a\u7272\u5de8\u5927\u3002<\/li>\n\n\n\n
      21. \u53ef\u80fd\u6027\u6548\u5e94<\/strong>\uff1a1%\u7684\u5e0c\u671b\u4e5f\u4f1a\u5f15\u53d1100%\u7684\u975e\u7406\u6027\u535a\u5f08\uff08\u5982\u8d4c\u535a\uff09\u3002<\/li>\n\n\n\n
      22. \u53cc\u66f2\u8d34\u73b0 (Hyperbolic Discounting)<\/strong>\uff1a\u5b81\u8981\u4eca\u5929\u7684\u534a\u4e2a\u9992\u5934\uff0c\u4e0d\u8981\u660e\u5929\u7684\u4e24\u4e2a\u9992\u5934 3<\/sup>\u3002<\/li>\n\n\n\n
      23. \u5b9c\u5bb6\u6548\u5e94<\/strong>\uff1a\u4eb2\u624b\u7ec4\u88c5\u7684\u67dc\u5b50\uff0c\u574f\u4e86\u4e5f\u820d\u4e0d\u5f97\u6254\u3002<\/li>\n\n\n\n
      24. \u4e0d\u4f5c\u4e3a\u504f\u5dee<\/strong>\uff1a\u5b81\u613f\u4e0d\u505a\u5bfc\u81f4\u5931\u8d25\uff0c\u4e5f\u4e0d\u613f\u505a\u4e86\u5bfc\u81f4\u5931\u8bef\u3002<\/li>\n\n\n\n
      25. \u4e50\u89c2\u504f\u5dee<\/strong>\uff1a\u603b\u89c9\u5f97\u81ea\u5df1\u4e2d\u5956\u6982\u7387\u6bd4\u522b\u4eba\u9ad8\u3002<\/li>\n\n\n\n
      26. \u8fc7\u5ea6\u81ea\u4fe1\u6548\u5e94<\/strong>\uff1a\u5927\u591a\u6570\u7537\u4eba\u90fd\u8ba4\u4e3a\u81ea\u5df1\u7684\u4f53\u80fd\u8d85\u8fc7\u5e73\u5747\u7ebf 11<\/sup>\u3002<\/li>\n\n\n\n
      27. \u89c4\u5212\u8c2c\u8bef<\/strong>\uff1a\u88c5\u4fee\u9884\u7b97\u603b\u662f\u8d85\u652f\uff0c\u5de5\u671f\u603b\u662f\u8d85\u957f\u3002<\/li>\n\n\n\n
      28. \u63a7\u5236\u9519\u89c9<\/strong>\uff1a\u63b7\u8272\u5b50\u65f6\u7528\u529b\u4e00\u4e9b\uff0c\u5c31\u4f1a\u63b7\u51fa\u5927\u70b9\u6570\u7684\u5fc3\u7406\u5b89\u6170\u3002<\/li>\n\n\n\n
      29. \u540e\u89c6\u504f\u5dee<\/strong>\uff1a\u6bd4\u8d5b\u7ed3\u675f\u540e\uff0c\u6bcf\u4e2a\u4eba\u90fd\u6210\u4e86\u795e\u9884\u8a00\u5bb6\u3002<\/li>\n\n\n\n
      30. \u53cd\u5411\u5fc3\u7406<\/strong>\uff1a\u8d8a\u662f\u88ab\u7981\u64ad\u7684\u7535\u5f71\uff0c\u4e0b\u8f7d\u91cf\u8d8a\u9ad8\u3002<\/li>\n\n\n\n
      31. \u591a\u91cd\u8bc4\u4f30\u504f\u89c1<\/strong>\uff1a\u540c\u65f6\u5bf9\u6bd4\u5341\u4e2a\u4ea7\u54c1\uff0c\u53cd\u800c\u9009\u4e0d\u5230\u6700\u597d\u7684\u3002<\/li>\n\n\n\n
      32. \u81ea\u6211\u59a8\u788d<\/strong>\uff1a\u8003\u8bd5\u524d\u901a\u5bb5\u6253\u6e38\u620f\uff0c\u4e3a\u4e86\u7ed9\u53ef\u80fd\u7684\u5931\u8d25\u627e\u501f\u53e3\u3002<\/li>\n\n\n\n
      33. \u865a\u5047\u5171\u8bc6\u6548\u5e94<\/strong>\uff1a\u4ee5\u4e3a\u5927\u5bb6\u90fd\u652f\u6301\u81ea\u5df1\u7684\u90a3\u4e2a\u51b7\u95e8\u89c2\u70b9\u3002<\/li>\n\n\n\n
      34. \u4fe1\u5ff5\u575a\u6301<\/strong>\uff1a\u8f9f\u8c23\u4fe1\u606f\u5f80\u5f80\u6bd4\u8c23\u8a00\u4f20\u64ad\u5f97\u6162\u5f97\u591a\u3002<\/li>\n\n\n\n
      35. \u8bc1\u8bcd\u6c61\u67d3<\/strong>\uff1a\u5728\u8bf1\u5bfc\u6027\u8be2\u95ee\u4e0b\uff0c\u8bb0\u5fc6\u53d1\u751f\u4e86\u4e0d\u53ef\u9006\u7684\u504f\u79fb\u3002<\/li>\n\n\n\n
      36. \u57fa\u672c\u5f52\u56e0\u9519\u8bef<\/strong>\uff1a\u6307\u8d23\u53d7\u5bb3\u8005\u7684\u8863\u7740\uff0c\u4ee5\u7ef4\u6301\u5185\u5fc3\u7684\u5b89\u5168\u611f\u3002<\/li>\n\n\n\n
      37. \u9632\u5fa1\u6027\u5f52\u56e0<\/strong>\uff1a\u5f3a\u8c03\u4e8b\u6545\u53d1\u751f\u7684\u5076\u7136\u6027\uff0c\u4e3a\u4e86\u63a9\u76d6\u81ea\u5df1\u7684\u5931\u804c\u3002<\/li>\n\n\n\n
      38. \u516c\u6b63\u4e16\u754c\u5047\u8bbe<\/strong>\uff1a\u8ba4\u4e3a\u201c\u53ef\u601c\u4e4b\u4eba\u5fc5\u6709\u53ef\u6068\u4e4b\u5904\u201d\u7684\u5fc3\u7406\u9632\u5fa1\u3002<\/li>\n\n\n\n
      39. \u8fd1\u56e0\u6548\u5e94<\/strong>\uff1a\u6700\u540e\u4e00\u523b\u7684\u79bb\u522b\u793c\u7269\uff0c\u633d\u6551\u4e86\u6574\u6bb5\u5173\u7cfb\u3002<\/li>\n\n\n\n
      40. \u76f2\u70b9\u504f\u5dee<\/strong>\uff1a\u627f\u8ba4\u522b\u4eba\u6709\u504f\u89c1\uff0c\u4f46\u575a\u4fe1\u81ea\u5df1\u662f\u5ba2\u89c2\u7684\u3002<\/li>\n<\/ol>\n\n\n\n

        6.4 \u60c5\u7eea\u97e7\u6027\u4e0e\u8c03\u8282\u673a\u5236 (161-200)<\/strong><\/h3>\n\n\n\n
          \n
        1. \u4e60\u5f97\u6027\u65e0\u52a9<\/strong>\uff1a\u7b3c\u5b50\u91cc\u7684\u72d7\uff0c\u653e\u5f03\u4e86\u8df3\u8fc7\u56f4\u680f\u7684\u5c1d\u8bd5\u3002<\/li>\n\n\n\n
        2. \u4e60\u5f97\u6027\u4e50\u89c2<\/strong>\uff1a\u5c06\u632b\u6298\u89e3\u91ca\u4e3a\u6682\u65f6\u7684\u3001\u5c40\u90e8\u7684\u3001\u5916\u90e8\u7684\u3002<\/li>\n\n\n\n
        3. \u6210\u957f\u578b\u601d\u7ef4<\/strong>\uff1a\u76f8\u4fe1\u667a\u529b\u548c\u80fd\u529b\u53ef\u4ee5\u901a\u8fc7\u523b\u610f\u7ec3\u4e60\u63d0\u5347\u3002<\/li>\n\n\n\n
        4. \u56fa\u5b9a\u578b\u601d\u7ef4<\/strong>\uff1a\u8ba4\u4e3a\u5929\u8d4b\u51b3\u5b9a\u4e86\u4e00\u5207\uff0c\u52aa\u529b\u662f\u65e0\u80fd\u7684\u8868\u73b0\u3002<\/li>\n\n\n\n
        5. \u81ea\u6211\u6548\u80fd\u611f (Self-efficacy)<\/strong>\uff1a\u76f8\u4fe1\u81ea\u5df1\u80fd\u591f\u5b8c\u6210\u67d0\u9879\u4efb\u52a1\u7684\u4fe1\u5fc3\u5f3a\u5ea6 18<\/sup>\u3002<\/li>\n\n\n\n
        6. \u89d2\u8272\u626e\u6f14\u6548\u5e94<\/strong>\uff1a\u7ed9\u4e00\u4e2a\u4eba\u8b66\u670d\uff0c\u4ed6\u4f1a\u9010\u6e10\u8868\u73b0\u5f97\u50cf\u4e2a\u5a01\u6743\u7684\u8b66\u5bdf\u3002<\/li>\n\n\n\n
        7. \u6807\u7b7e\u6548\u5e94<\/strong>\uff1a\u5f53\u88ab\u8d34\u4e0a\u201c\u5929\u624d\u201d\u6807\u7b7e\u540e\uff0c\u5b69\u5b50\u8868\u73b0\u51fa\u66f4\u5f3a\u7684\u5b66\u4e60\u52a8\u529b\u3002<\/li>\n\n\n\n
        8. \u81ea\u8bc1\u9884\u8a00 (Self-fulfilling Prophecy)<\/strong>\uff1a\u4f60\u89c9\u5f97\u4eca\u5929\u4f1a\u5012\u9709\uff0c\u4f60\u7684\u884c\u4e3a\u5c31\u771f\u7684\u5bfc\u5411\u4e86\u5012\u9709 11<\/sup>\u3002<\/li>\n\n\n\n
        9. \u6697\u793a\u6548\u5e94<\/strong>\uff1a\u7b97\u547d\u5148\u751f\u7684\u8bdd\u4e4b\u6240\u4ee5\u7075\uff0c\u662f\u56e0\u4e3a\u4f60\u5728\u6f5c\u610f\u8bc6\u91cc\u5411\u5176\u9760\u62e2\u3002<\/li>\n\n\n\n
        10. \u793e\u4f1a\u52a9\u957f<\/strong>\uff1a\u6709\u7f8e\u5973\u770b\u53f0\u65f6\uff0c\u7537\u8fd0\u52a8\u5458\u8dd1\u5f97\u66f4\u5feb 11<\/sup>\u3002<\/li>\n\n\n\n
        11. \u793e\u4f1a\u5e72\u6270<\/strong>\uff1a\u590d\u6742\u4efb\u52a1\u5728\u4ed6\u4eba\u6ce8\u89c6\u4e0b\u66f4\u5bb9\u6613\u51fa\u9519\u3002<\/li>\n\n\n\n
        12. \u4ece\u4f17\u538b\u529b<\/strong>\uff1a\u963f\u5e0c\u5b9e\u9a8c\u4e2d\uff0c33%\u7684\u4eba\u8ddf\u7740\u5927\u5bb6\u8bf4\u90a3\u6839\u660e\u660e\u77ed\u7684\u7ebf\u66f4\u957f\u3002<\/li>\n\n\n\n
        13. \u65c1\u89c2\u8005\u6548\u5e94<\/strong>\uff1a\u5728\u55a7\u95f9\u7684\u8857\u5934\u547c\u6551\uff0c\u4e0d\u5982\u76ef\u7740\u67d0\u4e2a\u4eba\u558a\u201c\u6551\u547d\u201d\u3002<\/li>\n\n\n\n
        14. \u793e\u4f1a\u61c8\u6020<\/strong>\uff1a\u5927\u9505\u996d\u4e0b\uff0c\u6ca1\u4eba\u613f\u610f\u591a\u5356\u529b\u3002<\/li>\n\n\n\n
        15. \u9cb6\u9c7c\u6548\u5e94<\/strong>\uff1a\u56e2\u961f\u672b\u4f4d\u6dd8\u6c70\u5236\u5e26\u6765\u7684\u6548\u7387\u63d0\u5347\u3002<\/li>\n\n\n\n
        16. \u7f8a\u7fa4\u6548\u5e94<\/strong>\uff1a\u76f2\u76ee\u8ddf\u98ce\u4e70\u80a1\u7968\uff0c\u6700\u540e\u6210\u4e86\u63a5\u76d8\u4fa0\u3002<\/li>\n\n\n\n
        17. \u9a6c\u592a\u6548\u5e94<\/strong>\uff1a\u7ed9\u51fa\u7684\u8d8a\u591a\uff0c\u5f97\u5230\u7684\u4e5f\u5c31\u8d8a\u591a\u3002<\/li>\n\n\n\n
        18. \u9a6c\u65af\u6d1b\u9700\u6c42\u5c42\u6b21<\/strong>\uff1a\u5403\u9971\u4e86\u624d\u4f1a\u53bb\u8ffd\u6c42\u5c0a\u4e25\u548c\u7406\u60f3\u3002<\/li>\n\n\n\n
        19. \u5fc3\u6d41\u4f53\u9a8c<\/strong>\uff1a\u5fd8\u6211\u7684\u5883\u754c\u662f\u6700\u9ad8\u7684\u5e78\u798f\u611f\u6765\u6e90\u3002<\/li>\n\n\n\n
        20. \u5b9c\u5bb6\u6548\u5e94<\/strong>\uff1a\u53c2\u4e0e\u611f\u63d0\u5347\u4e86\u5fe0\u8bda\u5ea6\u3002<\/li>\n\n\n\n
        21. \u635f\u5931\u538c\u6076<\/strong>\uff1a\u4fdd\u9669\u516c\u53f8\u6700\u7231\u5229\u7528\u7684\u5fc3\u7406\u5f31\u70b9\u3002<\/li>\n\n\n\n
        22. \u951a\u5b9a\u6548\u5e94<\/strong>\uff1a\u8d85\u5e02\u91cc\u7684\u201c\u539f\u4ef7998\uff0c\u73b0\u4ef7198\u201d\u3002<\/li>\n\n\n\n
        23. \u7980\u8d4b\u6548\u5e94<\/strong>\uff1a\u65e7\u8863\u670d\u820d\u4e0d\u5f97\u6254\uff0c\u603b\u89c9\u5f97\u4ee5\u540e\u8fd8\u4f1a\u7a7f\u3002<\/li>\n\n\n\n
        24. \u6c89\u6ca1\u6210\u672c<\/strong>\uff1a\u4e3a\u4e86\u90a3\u70b9\u513f\u5b66\u8d39\uff0c\u786c\u7740\u5934\u76ae\u8bfb\u5b8c\u4e0d\u559c\u6b22\u7684\u4e13\u4e1a\u3002<\/li>\n\n\n\n
        25. \u786e\u8ba4\u504f\u89c1<\/strong>\uff1a\u641c\u7d22\u5f15\u64ce\u4f1a\u6839\u636e\u4f60\u7684\u5386\u53f2\u504f\u597d\u53ea\u63a8\u9001\u4f60\u60f3\u770b\u7684\u3002<\/li>\n\n\n\n
        26. \u4e8b\u540e\u806a\u660e<\/strong>\uff1a\u65e9\u77e5\u9053\u6211\u5c31\u53bb\u4e70\u6bd4\u7279\u5e01\u4e86\u3002<\/li>\n\n\n\n
        27. \u89c4\u5212\u8c2c\u8bef<\/strong>\uff1a\u603b\u89c9\u5f97\u660e\u65e9\u4e94\u70b9\u80fd\u8d77\u5e8a\u3002<\/li>\n\n\n\n
        28. \u53ef\u5f97\u6027\u504f\u5dee<\/strong>\uff1a\u770b\u5b8c\u9ca8\u9c7c\u7535\u5f71\u540e\uff0c\u518d\u4e5f\u4e0d\u6562\u4e0b\u6d77\u6e38\u6cf3\u3002<\/li>\n\n\n\n
        29. \u4ee3\u8868\u6027\u504f\u5dee<\/strong>\uff1a\u8ba4\u4e3a\u6240\u6709\u7684\u7a0b\u5e8f\u5458\u90fd\u7a7f\u683c\u5b50\u886b\u3002<\/li>\n\n\n\n
        30. \u5149\u73af\u6548\u5e94<\/strong>\uff1a\u957f\u5f97\u5e05\u7684\u88ab\u544a\u5f80\u5f80\u83b7\u5f97\u66f4\u8f7b\u7684\u5224\u5211\u3002<\/li>\n\n\n\n
        31. \u8521\u683c\u5c3c\u514b\u6548\u5e94<\/strong>\uff1a\u7535\u89c6\u5267\u91cc\u7684\u201c\u4e14\u542c\u4e0b\u56de\u5206\u89e3\u201d\u3002<\/li>\n\n\n\n
        32. \u5cf0\u7ec8\u5b9a\u5f8b<\/strong>\uff1a\u65c5\u6e38\u7ed3\u675f\u524d\u7684\u90a3\u4e2a\u5927\u9910\u51b3\u5b9a\u4e86\u5bf9\u6574\u4e2a\u884c\u7a0b\u7684\u5370\u8c61\u3002<\/li>\n\n\n\n
        33. \u5e15\u91d1\u68ee\u5b9a\u5f8b<\/strong>\uff1a\u4e3a\u4e86\u586b\u6ee1\u516b\u5c0f\u65f6\u5de5\u4f5c\u5236\uff0c\u5de5\u4f5c\u91cf\u4f1a\u88ab\u65e0\u9650\u644a\u8584\u3002<\/li>\n\n\n\n
        34. \u7834\u7a97\u6548\u5e94<\/strong>\uff1a\u7b2c\u4e00\u5757\u88ab\u6253\u7834\u7684\u73bb\u7483\u5982\u679c\u4e0d\u4fee\uff0c\u6574\u680b\u697c\u90fd\u4f1a\u8352\u5e9f\u3002<\/li>\n\n\n\n
        35. \u57fa\u672c\u5f52\u56e0\u9519\u8bef<\/strong>\uff1a\u591a\u4e00\u5206\u5bbd\u5bb9\uff0c\u5c11\u4e00\u5206\u6307\u8d23\u7684\u5fc3\u7406\u57fa\u7840\u3002<\/li>\n\n\n\n
        36. \u5357\u98ce\u6548\u5e94<\/strong>\uff1a\u6559\u80b2\u5b69\u5b50\u8981\u6da6\u7269\u7ec6\u65e0\u58f0\u3002<\/li>\n\n\n\n
        37. \u9a6c\u592a\u6548\u5e94<\/strong>\uff1a\u6559\u80b2\u8d44\u6e90\u7684\u8d2b\u5bcc\u5dee\u8ddd\u3002<\/li>\n\n\n\n
        38. \u5df4\u7eb3\u59c6\u6548\u5e94<\/strong>\uff1a\u8fd9\u79cd\u6027\u683c\u5206\u6790\u5176\u5b9e\u8c01\u90fd\u9002\u7528\u3002<\/li>\n\n\n\n
        39. \u8774\u8776\u6548\u5e94<\/strong>\uff1a\u521d\u59cb\u6761\u4ef6\u7684\u5fae\u5c0f\u504f\u5dee\u5bfc\u81f4\u7ed3\u679c\u7684\u5de8\u5927\u9e3f\u6c9f\u3002<\/li>\n\n\n\n
        40. \u6728\u6876\u539f\u7406<\/strong>\uff1a\u4f60\u7684\u77ed\u677f\u51b3\u5b9a\u4e86\u4f60\u804c\u573a\u7684\u4e0a\u9650\u3002<\/li>\n<\/ol>\n\n\n\n

          \u7b2c\u4e03\u7ae0 \u6df1\u5ea6\u6d1e\u5bdf\uff1a\u8ba4\u77e5\u504f\u5dee\u80cc\u540e\u7684\u8fdb\u5316\u903b\u8f91\u4e0e\u672a\u6765\u5c55\u671b<\/strong><\/h2>\n\n\n\n

          \u4eba\u7c7b\u7684200\u4e2a\u5fc3\u7406\u6548\u5e94\u5e76\u975e\u96f6\u6563\u7684\u7f3a\u9677\uff0c\u800c\u662f\u8fdb\u5316\u7559\u4e0b\u7684\u201c\u7279\u5f81\u7801\u201d\u3002<\/p>\n\n\n\n

          7.1 \u8ba4\u77e5\u6377\u5f84\u7684\u751f\u6001\u5408\u7406\u6027<\/strong><\/h3>\n\n\n\n

          \u4ece\u6df1\u5ea6\u7814\u7a76\u7684\u89d2\u5ea6\u770b\uff0c\u8bf8\u5982\u201c\u53ef\u5f97\u6027\u542f\u53d1\u6cd5\u201d\u6216\u201c\u4ece\u4f17\u6548\u5e94\u201d\uff0c\u5728\u8d44\u6e90\u7a00\u7f3a\u7684\u53f2\u524d\u65f6\u4ee3\u662f\u6781\u5177\u6548\u7387\u7684\u751f\u5b58\u7b56\u7565 1<\/sup>\u3002\u5f53\u539f\u59cb\u4eba\u770b\u5230\u540c\u4f34\u60ca\u6050\u5954\u8dd1\u65f6\uff0c\u4e0d\u52a0\u601d\u8003\u5730\u8ddf\u968f\uff08\u4ece\u4f17\uff09\u6bd4\u505c\u4e0b\u6765\u5206\u6790\u5371\u9669\u6e90\uff08\u7406\u6027\u51b3\u7b56\uff09\u5177\u6709\u66f4\u9ad8\u7684\u751f\u5b58\u6982\u7387\u3002\u8fd9\u89e3\u91ca\u4e86\u4e3a\u4f55\u8fd9\u4e9b\u504f\u5dee\u5728\u795e\u7ecf\u7f51\u7edc\u4e2d\u5982\u6b64\u6839\u6df1\u8482\u56fa\u3002<\/p>\n\n\n\n

          7.2 \u804c\u573a\u4e0e\u81ea\u6211\u589e\u957f\u7684\u4e8c\u6b21\u8de8\u8d8a<\/strong><\/h3>\n\n\n\n

          \u5728\u73b0\u4ee3\u804c\u573a\u73af\u5883\u4e0b\uff0c\u7406\u89e3\u201c\u5f7c\u5f97\u539f\u7406\u201d\u6216\u201c\u5e0c\u514b\u5b9a\u5f8b\u201d\u53ef\u4ee5\u6781\u5927\u4f18\u5316\u4eba\u529b\u8d44\u6e90\u914d\u7f6e\u3002\u7ba1\u7406\u8005\u5e94\u610f\u8bc6\u5230\uff0c\u51b3\u7b56\u590d\u6742\u5ea6\u7684\u7ebf\u6027\u589e\u52a0\u4f1a\u5bfc\u81f4\u5458\u5de5\u5fc3\u7406\u8d1f\u8377\u7684\u5bf9\u6570\u7ea7\u589e\u957f 15<\/sup>\u3002\u56e0\u6b64\uff0c\u7b80\u5316\u7684\u6d41\u7a0b\u548c\u660e\u786e\u7684\u8d1f\u53cd\u9988\u673a\u5236\u662f\u63d0\u5347\u6548\u80fd\u7684\u5173\u952e\u3002<\/p>\n\n\n\n

          \u5bf9\u4e8e\u4e2a\u4eba\u800c\u8a00\uff0c\u5bf9\u6297\u201c\u4e60\u5f97\u6027\u65e0\u52a9\u201d\u5e76\u8f6c\u5411\u201c\u6210\u957f\u578b\u601d\u7ef4\u201d\u662f\u6784\u5efa\u5fc3\u7406\u5f39\u6027\u7684\u6838\u5fc3\u3002\u901a\u8fc7\u8bc6\u522b\u201c\u81ea\u5229\u504f\u5dee\u201d\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u5ba2\u89c2\u5730\u4ece\u5931\u8d25\u4e2d\u5438\u53d6\u6559\u8bad\uff0c\u800c\u975e\u5c06\u5176\u63a8\u5378\u7ed9\u5916\u90e8\u73af\u5883 3<\/sup>\u3002<\/p>\n\n\n\n

          7.3 \u8de8\u5b66\u79d1\u7684 ripple effects (\u6d9f\u6f2a\u6548\u5e94)<\/strong><\/h3>\n\n\n\n

          \u5fc3\u7406\u5b66\u6548\u5e94\u5728\u7ecf\u6d4e\u3001\u6cd5\u5f8b\u53ca\u516c\u5171\u653f\u7b56\u4e2d\u7684\u5f71\u54cd\u65e5\u76ca\u6df1\u8fdc\u3002\u4f8b\u5982\uff0c\u57fa\u4e8e\u201c\u635f\u5931\u89c4\u907f\u201d\u548c\u201c\u73b0\u72b6\u504f\u5dee\u201d\u8bbe\u8ba1\u7684\u9ed8\u8ba4\u5668\u5b98\u6350\u732e\u5236\u5ea6\uff0c\u5176\u7b7e\u7f72\u7387\u8fdc\u9ad8\u4e8e\u9700\u8981\u4e3b\u52a8\u7533\u8bf7\u7684\u5236\u5ea6\u3002\u8fd9\u8bc1\u660e\u4e86\u901a\u8fc7\u5bf9\u5fc3\u7406\u673a\u5236\u7684\u5fae\u8c03\uff08Nudge\uff09\uff0c\u53ef\u4ee5\u4ea7\u751f\u5de8\u5927\u7684\u793e\u4f1a\u6b63\u5411\u4ef7\u503c\u3002<\/p>\n\n\n\n

          <\/h2>\n\n\n\n

          \u5f15\u7528\u7684\u8457\u4f5c<\/strong><\/h4>\n\n\n\n
            \n
          1. Cognitive bias – Wikipedia, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/en.wikipedia.org\/wiki\/Cognitive_bias<\/a><\/li>\n\n\n\n
          2. Category:Cognitive biases – Wikipedia, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/en.wikipedia.org\/wiki\/Category:Cognitive_biases<\/a><\/li>\n\n\n\n
          3. List of Cognitive Biases and Heuristics – The Decision Lab, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/thedecisionlab.com\/biases<\/a><\/li>\n\n\n\n
          4. Bias – Wikipedia, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/en.wikipedia.org\/wiki\/Bias<\/a><\/li>\n\n\n\n
          5. List of Common Cognitive Biases – Hunimed, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/www.hunimed.eu\/news\/list-of-common-cognitive-biases\/<\/a><\/li>\n\n\n\n
          6. 200 Cognitive Biases | Adnan Wahab, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/www.adnanwahab.com\/blog\/200_cognitive_biases<\/a><\/li>\n\n\n\n
          7. The Psychological Triggers and Cognitive Biases Cheat Sheet – GetUplift, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/getuplift.co\/cognitive-biases-psychological-triggers-cheat-sheet\/<\/a><\/li>\n\n\n\n
          8. Cognitive Biases (2026): Complete List of 151 Biases [Psychology] – Gust de Backer, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/gustdebacker.com\/cognitive-biases\/<\/a><\/li>\n\n\n\n
          9. List of cognitive biases – Wikipedia, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/en.wikipedia.org\/wiki\/List_of_cognitive_biases<\/a><\/li>\n\n\n\n
          10. List of Psychological Effects | PDF | Motivational – Scribd, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/www.scribd.com\/document\/573029498\/List-of-psychological-effects<\/a><\/li>\n\n\n\n
          11. List of psychological effects – Wikipedia, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/en.wikipedia.org\/wiki\/List_of_psychological_effects<\/a><\/li>\n\n\n\n
          12. \u4e3a\u4f60\u51c6\u5907\u4e8650\u4e2a\u7ecf\u5178\u5fc3\u7406\u5b66\u6548\u5e94\uff0c\u4f60\u8981\u4e0d\u8981\u4e86\u89e3\u4e0b\uff1f – \u90d1\u5dde\u94c1\u8def\u804c\u4e1a\u6280\u672f\u5b66\u9662, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/www.zzrvtc.edu.cn\/xljk\/2022\/1024\/c1989a103424\/page.htm<\/a><\/li>\n\n\n\n
          13. \u5341\u5927\u5fc3\u7406\u5b66\u6548\u5e94\u548c\u5b9a\u5f8b\uff08\u6700\u5e38\u7528\u768435\u4e2a\u5fc3\u7406\u5b66\u6548\u5e94-\u6377\u5f84\u7cfb\u7edf\uff09, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/www.mdit.edu.cn\/info\/5917\/84152.htm<\/a><\/li>\n\n\n\n
          14. Cognitive distortion – Wikipedia, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/en.wikipedia.org\/wiki\/Cognitive_distortion<\/a><\/li>\n\n\n\n
          15. Top 15 most popular laws in psychology journal abstracts – Alex Holcombe’s blog, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/alexholcombe.wordpress.com\/2011\/11\/19\/top-15-most-popular-laws-in-psychology-journal-abstracts\/<\/a><\/li>\n\n\n\n
          16. How Work Works: 4 Rules That Govern the Workplace | Psychology Today, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/www.psychologytoday.com\/us\/blog\/artificial-maturity\/202403\/how-work-works-4-rules-that-govern-the-workplace<\/a><\/li>\n\n\n\n
          17. 42 Laws You Should Know (Part 1) \u2014 42courses.com, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/www.42courses.com\/blog\/home\/2022\/3\/22\/42-laws-you-should-know-part-1<\/a><\/li>\n\n\n\n
          18. Effects of psychological empowerment, self-improvement, and mental health Motivation for work satisfaction, \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/archivespsy.com\/menu-script\/index.php\/ACF\/article\/download\/2216\/2470\/4769<\/a><\/li>\n\n\n\n
          19. What Are Positive Emotions in Psychology? (+List & Examples), \u8bbf\u95ee\u65f6\u95f4\u4e3a \u4e00\u6708 9, 2026\uff0c https:\/\/positivepsychology.com\/positive-emotions-list-examples-definition-psychology\/<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

            \u5728\u73b0\u4ee3\u8ba4\u77e5\u79d1\u5b66\u4e0e\u884c\u4e3a\u7ecf\u6d4e\u5b66\u7684\u5b8f\u5927\u53d9\u4e8b\u4e2d\uff0c\u4eba\u7c7b\u7684\u5fc3\u667a\u88ab\u63cf\u7ed8\u4e3a\u4e00\u4e2a\u65e2\u7cbe\u7cbe\u5bc6\u53c8\u5145\u6ee1\u7cfb\u7edf\u6027\u7f3a\u9677\u7684\u590d\u6742\u7cfb\u7edf\u3002\u8fd9\u4e2a\u7cfb\u7edf\u5728\u6570 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-33","post","type-post","status-publish","format-standard","hentry","category-psychology"],"_links":{"self":[{"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/posts\/33","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/comments?post=33"}],"version-history":[{"count":2,"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/posts\/33\/revisions"}],"predecessor-version":[{"id":49,"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/posts\/33\/revisions\/49"}],"wp:attachment":[{"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/media?parent=33"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/categories?post=33"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/niuns.com\/index.php\/wp-json\/wp\/v2\/tags?post=33"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}