By: steve-wang

The False Consensus Effect is where people overestimate the amount of people who share the beliefs. To test if this is really a thing, a online test was conducted. This online test included a version in Chinese and a version in English to reach a wider audience. That caused the results gotten from this survey would not be area specific. They each contained 6 questions. Recipients would have to answer the questions then guess the percentage of people who would share their opinion. Both versions of the questions were made to reflect each other but modified to be clearer for their corresponding areas. The author's hypothesis is that the effect will not be very clear because usually when people are not very confident in their opinions or where they stand, they would rank themselves slightly above average. For example if you asked someone how good they are at something, they are likely to answer slightly better than average. To check if the False Consensus Effect is observed, the actual percentage of answers will be compared the recipient's answers. To put this into context, person A says that 80% percent of people agree with them on a certain topic but in actuality, only 30% of people agree with them on that topic, the False Consensus Effect can be observed.

Here is the raw results for the Taiwan version and the international version.

To make the point about observing the False Consensus Effect clearer, look the question for Bus or Taxi in the international version. The first recipient answered that they preferred buses and that 50% percent of people would agree with him. Since about 80% of people prefer buses in this survey, the False Consensus Effect cannot be observed here. However, even if his answer was 82%, it would still be considered as False Consensus Effect not found because the author did not want to take into account answers that were too close. That would be considered good at guessing. An example of the False Consensus Effect being observed is, the second person in the Taiwan version of the survey. She guessed that 90% of people agreed with her and preferred the MRT of the bus. In truth, only 80% of people in this survey prefer the MRT over the bus. So, in this case, the False Consensus Effect was detected. All this has been calculated in the tables below the original raw data tables. Here is the table for the processed Taiwan version results and here is the processed international version results

According to the results, the False Consensus Effect is detected 63 times out the 186(31 recipients x 6 sets of questions) total sets of answers in the international version (~34%) and was detected 65 out of the 150(25 recipients x 6 sets of questions) total sets of answers in the Taiwan version (~43%). In total the False Consensus Effect was detected about 38% of the time ((63 + 65)/(150 + 186) * 100). Other interesting findings include, people in general enjoy pineapples on pizza, the opinion of if curry should be mixed with rice is quite split in Taiwan, most people think that downloading pirated content is acceptable and, most people in Taiwan think murderers should be executed but most people outside of Taiwan think the opposite. Here, I list out a few things that might potentially skew the results. Most of the recipients are males, most of the recipients of the Taiwan version of the survey are 25 or younger, most of the recipients of the international survey are 35 or older (a select few reaching 50>) and, the first question does not translate well from the international version to the Taiwan version (one compares public transport to another public transport, the other compares public transport to private transport

In conclusion, the False Consensus effect was not proven in a survey was flawed in many ways. This might mean that the False Consensus effect is hard to for other people to use it against another in a normal scenario. So, we do not need to worry too much about being manipulated with the False Consensus effect. Instead we should focus our efforts in identifying other tricks that people might use like the Gambler's Fallacy, False Cause Effect, Anchoring Bias, Confirmation Bias, etc. To prove the False Consensus effect, questions that invoke stronger feelings in people might need to be used.

<csv> Timestamp,你的性別 Your gender,你的年紀 Your age,公車或捷運，搭乘哪一個比較好? Buses or MRT? Which one is better?,“一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you?”,鳳梨應該出現在披薩上嗎？ Should pineapples go on pizzas? ,“一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you?”,咖喱飯要拌還是不拌 Should the curry on curry rice be mixed in or not?,“一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you?”,你覺得下載盜版電影、書籍、軟體可以嗎？ Is it okay to download pirated content? ,“一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you?”,殺人犯應該被處死嗎? Should murderers be executed? ,“一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you?”,核能發電應該被廢除嗎? Should nuclear energy be banned?,“一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you?” 3/14/2024 22:14:35,女 Female,17,MRT 捷運,60,No 不應該,50,Yes 要拌,50,No 不可以,60,應該 Yes,70,不應該 No,80 3/14/2024 22:16:59,女 Female,16,MRT 捷運,90,Yes 應該,100,Yes 要拌,50,Yes 可以,50,不應該 No,70,不應該 No,100 3/15/2024 9:55:45,女 Female,17,MRT 捷運,10,Yes 應該,10,No 不要拌,10,Yes 可以,10,不應該 No,10,應該 Yes,10 3/15/2024 14:21:47,男 Male,27,MRT 捷運,70,Yes 應該,100,No 不要拌,100,No 不可以,50,不應該 No,50,不應該 No,60 3/15/2024 14:27:19,女 Female,16,Buses 公車,50,No 不應該,40,No 不要拌,80,Yes 可以,70,應該 Yes,90,應該 Yes,60 3/15/2024 15:57:55,男 Male,16,MRT 捷運,50,No 不應該,99,Yes 要拌,69,Yes 可以,99,應該 Yes,50,不應該 No,30 3/15/2024 18:14:46,女 Female,15,MRT 捷運,70,Yes 應該,50,No 不要拌,50,Yes 可以,50,應該 Yes,40,應該 Yes,50 3/15/2024 19:03:47,女 Female,16,MRT 捷運,50,Yes 應該,40,Yes 要拌,50,No 不可以,30,不應該 No,10,應該 Yes,60 3/15/2024 19:05:53,女 Female,17,MRT 捷運,70,No 不應該,30,No 不要拌,50,No 不可以,60,應該 Yes,50,不應該 No,60 3/15/2024 20:07:15,女 Female,15,Buses 公車,100,Yes 應該,100,No 不要拌,50,No 不可以,50,應該 Yes,50,不應該 No,20 3/16/2024 2:59:22,男 Male,17,MRT 捷運,35,Yes 應該,30,Yes 要拌,70,Yes 可以,60,應該 Yes,75,不應該 No,50 3/16/2024 3:01:52,男 Male,17,Buses 公車,87,Yes 應該,20,Yes 要拌,99,Yes 可以,12,應該 Yes,75,不應該 No,60 3/16/2024 3:08:16,男 Male,18,MRT 捷運,50,No 不應該,50,Yes 要拌,50,Yes 可以,50,應該 Yes,50,不應該 No,50 3/16/2024 3:52:55,男 Male,24,MRT 捷運,98,No 不應該,100,Yes 要拌,97,Yes 可以,70,應該 Yes,65,不應該 No,90 3/16/2024 7:47:19,男 Male,17,MRT 捷運,90,Yes 應該,50,No 不要拌,80,Yes 可以,80,應該 Yes,70,應該 Yes,80 3/16/2024 9:54:01,男 Male,18,Buses 公車,50,No 不應該,100,No 不要拌,80,Yes 可以,50,不應該 No,50,不應該 No,80 3/16/2024 10:54:46,男 Male,18,MRT 捷運,60,No 不應該,80,Yes 要拌,35,No 不可以,80,應該 Yes,75,應該 Yes,50 3/16/2024 11:05:28,男 Male,16,MRT 捷運,80,Yes 應該,35,No 不要拌,99,No 不可以,99,應該 Yes,100,不應該 No,50 3/16/2024 11:17:29,男 Male,21,Buses 公車,50,Yes 應該,50,Yes 要拌,50,Yes 可以,50,應該 Yes,50,不應該 No,50 3/16/2024 14:21:14,男 Male,18,MRT 捷運,50,Yes 應該,30,No 不要拌,50,Yes 可以,20,應該 Yes,90,應該 Yes,50 3/16/2024 23:43:01,男 Male,16,MRT 捷運,70,No 不應該,100,Yes 要拌,50,No 不可以,70,應該 Yes,60,不應該 No,50 3/16/2024 23:44:29,男 Male,16,MRT 捷運,100,No 不應該,100,No 不要拌,50,No 不可以,60,應該 Yes,40,不應該 No,90 3/16/2024 23:45:33,男 Male,16,MRT 捷運,65,Yes 應該,70,Yes 要拌,40,No 不可以,60,不應該 No,2,應該 Yes,45 3/17/2024 0:12:39,男 Male,16,MRT 捷運,80,Yes 應該,50,Yes 要拌,60,Yes 可以,50,應該 Yes,90,不應該 No,60 3/17/2024 10:16:53,女 Female,16,MRT 捷運,70,Yes 應該,30,No 不要拌,50,No 不可以,50,應該 Yes,60,不應該 No,50 ,,,,66.2,,60.56,,60.76,,55.6,,57.68,,57.4 </csv>

<csv> Timestamp,Your gender,Your age,1. Buses or taxi? Which one do you prefer?,“Out of 100 people, how many people do you think would agree with you about your answer to question 1?”,2. Is pineapple on pizza delicious?,“Out of 100 people, how many people do you think would agree with you about your answer to question 2?”,3. Should the curry on curry rice be mixed in or not?,“Out of 100 people, how many people do you think would agree with you about your answer to question 3?”,4. Is it okay to download pirated content? ,“Out of 100 people, how many people do you think would agree with you about your answer to question 4?”,5. Should murderers be executed? ,“Out of 100 people, how many people do you think would agree with you about your answer to question 5?”,6. Should nuclear energy be banned?,“Out of 100 people, how many people do you think would agree with you about your answer to question 6?” 3/28/2024 18:43:12,Male,51,Buses,50,No,50,No,66,Yes,25,No,25,No,50 3/28/2024 18:45:47,Male,49,Buses,20,Yes,20,Yes,80,Yes,60,No,90,No,40 3/28/2024 19:24:06,Male,38,Buses,40,No,75,No,90,No,80,No,55,No,70 3/28/2024 19:40:58,Male,57,Buses,30,Yes,75,Yes,55,Yes,40,No,60,No,65 3/28/2024 20:29:44,Male,28,Buses,40,Yes,10,Yes,50,Yes,60,No,80,No,70 3/28/2024 21:06:57,Male,39,Buses,50,Yes,25,Yes,50,No,50,No,50,Yes,50 3/28/2024 21:59:29,Male,49,Buses,35,No,70,No,35,Yes,50,No,80,No,45 3/28/2024 22:08:28,Male,37,Buses,10,Yes,50,No,50,No,99,No,50,No,50 3/28/2024 23:45:55,Male,35,Taxi,65,Yes,20,No,50,No,20,No,65,No,40 3/29/2024 0:42:41,Male,30,Buses,55,Yes,45,No,60,No,25,No,65,No,85 3/29/2024 1:05:16,Male,30,Taxi,75,Yes,40,No,80,No,90,Yes,65,Yes,60 3/29/2024 1:28:25,Male,23,Buses,40,Yes,40,Yes,50,Yes,90,No,70,No,90 3/29/2024 2:20:25,Male,37,Buses,85,Yes,20,No,50,Yes,90,No,85,No,85 3/29/2024 2:28:36,Female,33,Buses,40,Yes,30,No,50,No,40,No,50,No,50 3/29/2024 6:16:46,Male,30,Taxi,70,No,50,No,50,No,50,No,50,No,50 3/29/2024 8:59:40,Male,48,Buses,30,No,70,Yes,90,No,50,No,50,Yes,50 3/29/2024 10:49:14,Male,26,Buses,30,No,50,No,80,Yes,60,No,50,No,95 3/29/2024 10:58:21,Male,34,Buses,75,Yes,50,No,10,Yes,95,No,10,Yes,25 3/29/2024 11:08:00,Male,32,Buses,40,No,60,No,70,Yes,90,No,50,No,40 3/29/2024 15:35:27,Female,22,Taxi,40,Yes,20,Yes,50,Yes,60,Yes,70,No,50 3/29/2024 18:06:46,Male,41,Buses,30,No,99,No,50,Yes,99,No,50,No,20 3/29/2024 18:49:23,Female,30,Buses,20,No,80,Yes,50,Yes,65,No,90,Yes,30 3/30/2024 4:39:15,Male,40,Buses,30,Yes,40,No,70,Yes,80,No,50,No,50 3/31/2024 12:11:18,Male,34,Taxi,67,Yes,23,No,50,Yes,20,No,30,No,40 3/31/2024 12:14:14,Male,39,Buses,30,Yes,50,Yes,60,Yes,70,No,80,No,50 3/31/2024 12:29:47,Male,29,Taxi,70,Yes,43,No,65,Yes,80,No,40,No,35 3/31/2024 12:32:03,Male,27,Buses,45,Yes,30,No,80,Yes,90,Yes,50,No,80 3/31/2024 13:05:09,Male,38,Buses,50,Yes,30,Yes,70,Yes,60,No,50,No,80 3/31/2024 13:38:02,Male,36,Buses,20,Yes,20,No,80,No,50,No,70,No,50 3/31/2024 13:49:04,Male,44,Buses,63,No,54,No,37,Yes,16,No,46,No,59 3/31/2024 17:35:45,Male,47,Buses,50,No,80,No,50,Yes,50,No,50,No,55 AVG,,,,45,,45.77419355,,58.96774194,,61.41935484,,57.29032258,,55.12903226 </csv>

<csv> “Timestamp”, “Your gender”, “Your age”, “Buses or taxi? Which one do you prefer?”, “Out of 100 people, how many people do you think would agree with you about your answer to question 1?”, “Is pineapple on pizza delicious?”, “Out of 100 people, how many people do you think would agree with you about your answer to question 2?”, “Should the curry on curry rice be mixed in or not?”, “Out of 100 people, how many people do you think would agree with you about your answer to question 3?”, “Is it okay to download pirated content?”, “Out of 100 people, how many people do you think would agree with you about your answer to question 4?”, “Should murderers be executed?”, “Out of 100 people, how many people do you think would agree with you about your answer to question 5?”, “Should nuclear energy be banned?”, “Out of 100 people, how many people do you think would agree with you about your answer to question 6?”, 3/28/2024 18:43:12,Male,51,Buses,50 nothing,No,50 detected,No,66 nothing,Yes,25 nothing,No,25 nothing,No,50 nothing 3/28/2024 18:45:47,Male,49,Buses,20 nothing,Yes,20 nothing,Yes,80 detected,Yes,60 nothing,No,90 nothing,No,40 nothing 3/28/2024 19:24:06,Male,38,Buses,40 nothing,No,75 detected,No,90 detected,No,80 detected,No,55 nothing,No,70 nothing 3/28/2024 19:40:58,Male,57,Buses,30 nothing,Yes,75 detected,Yes,55 detected,Yes,40 nothing,No,60 nothing,No,65 nothing 3/28/2024 20:29:44,Male,28,Buses,40 nothing,Yes,10 nothing,Yes,50 detected,Yes,60 nothing,No,80 nothing,No,70 nothing 3/28/2024 21:06:57,Male,39,Buses,50 nothing,Yes,25 nothing,Yes,50 detected,No,50 detected,No,50 nothing,Yes,50 detected 3/28/2024 21:59:29,Male,49,Buses,35 nothing,No,70 detected,No,35 nothing,Yes,50 nothing,No,80 nothing,No,45 nothing 3/28/2024 22:08:28,Male,37,Buses,10 nothing,Yes,50 nothing,No,50 nothing,No,99 detected,No,50 nothing,No,50 nothing 3/28/2024 23:45:55,Male,35,Taxi,65 detected,Yes,20 nothing,No,50 nothing,No,20 nothing,No,65 nothing,No,40 nothing 3/29/2024 0:42:41,Male,30,Buses,55 nothing,Yes,45 nothing,No,60 nothing,No,25 nothing,No,65 nothing,No,85 nothing 3/29/2024 1:05:16,Male,30,Taxi,75 detected,Yes,40 nothing,No,80 detected,No,90 detected,Yes,65 detected,Yes,60 detected 3/29/2024 1:28:25,Male,23,Buses,40 nothing,Yes,40 nothing,Yes,50 detected,Yes,90 detected,No,70 nothing,No,90 detected 3/29/2024 2:20:25,Male,37,Buses,85 detected,Yes,20 nothing,No,50 nothing,Yes,90 detected,No,85 nothing,No,85 nothing 3/29/2024 2:28:36,Female,33,Buses,40 nothing,Yes,30 nothing,No,50 nothing,No,40 detected,No,50 nothing,No,50 nothing 3/29/2024 6:16:46,Male,30,Taxi,70 detected,No,50 detected,No,50 nothing,No,50 detected,No,50 nothing,No,50 nothing 3/29/2024 8:59:40,Male,48,Buses,30 nothing,No,70 detected,Yes,90 detected,No,50 detected,No,50 nothing,Yes,50 detected 3/29/2024 10:49:14,Male,26,Buses,30 nothing,No,50 detected,No,80 detected,Yes,60 nothing,No,50 nothing,No,95 detected 3/29/2024 10:58:21,Male,34,Buses,75 nothing,Yes,50 nothing,No,10 nothing,Yes,95 detected,No,10 nothing,Yes,25 detected 3/29/2024 11:08:00,Male,32,Buses,40 nothing,No,60 detected,No,70 detected,Yes,90 detected,No,50 nothing,No,40 nothing 3/29/2024 15:35:27,Female,22,Taxi,40 detected,Yes,20 nothing,Yes,50 detected,Yes,60 nothing,Yes,70 detected,No,50 nothing 3/29/2024 18:06:46,Male,41,Buses,30 nothing,No,99 detected,No,50 nothing,Yes,99 detected,No,50 nothing,No,20 nothing 3/29/2024 18:49:23,Female,30,Buses,20 nothing,No,80 detected,Yes,50 detected,Yes,65 nothing,No,90 nothing,Yes,30 detected 3/30/2024 4:39:15,Male,40,Buses,30 nothing,Yes,40 nothing,No,70 detected,Yes,80 detected,No,50 nothing,No,50 nothing 3/31/2024 12:11:18,Male,34,Taxi,67 detected,Yes,23 nothing,No,50 nothing,Yes,20 nothing,No,30 nothing,No,40 nothing 3/31/2024 12:14:14,Male,39,Buses,30 nothing,Yes,50 nothing,Yes,60 detected,Yes,70 detected,No,80 nothing,No,50 nothing 3/31/2024 12:29:47,Male,29,Taxi,70 detected,Yes,43 nothing,No,65 nothing,Yes,80 detected,No,40 nothing,No,35 nothing 3/31/2024 12:32:03,Male,27,Buses,45 nothing,Yes,30 nothing,No,80 detected,Yes,90 detected,Yes,50 detected,No,80 nothing 3/31/2024 13:05:09,Male,38,Buses,50 nothing,Yes,30 nothing,Yes,70 detected,Yes,60 nothing,No,50 nothing,No,80 nothing 3/31/2024 13:38:02,Male,36,Buses,20 nothing,Yes,20 nothing,No,80 detected,No,50 detected,No,70 nothing,No,50 nothing 3/31/2024 13:49:04,Male,44,Buses,63 nothing,No,54 detected,No,37 nothing,Yes,16 nothing,No,46 nothing,No,59 nothing 3/31/2024 17:35:45,Male,47,Buses,50 nothing,No,80 detected,No,50 nothing,Yes,50 nothing,No,50 nothing,No,55 nothing AVG,,,25 Bus 6 Taxi,44.83333333,11 No 20 Yes,45.77419355,21 No 10 Yes,58.96774194,10 No 21 Yes,61.41935484,28 No 3 yes,57.29032258,26 No 5 Yes,55.12903226 80.64516129032258 Bus,,,,,,,,,,, ,,,{“Buses”:80.64516129032258 “Taxi”:19.35483870967742},{“nothing”:24 “detected”:7},{“No”:35.483870967741936 “Yes”:64.51612903225806},{“detected”:12 “nothing”:19},{“No”:67.74193548387096 “Yes”:32.25806451612903},{“nothing”:14 “detected”:17},{“Yes”:67.74193548387096 “No”:32.25806451612903},{“nothing”:14 “detected”:17},{“No”:90.32258064516128 “Yes”:9.67741935483871},{“nothing”:28 “detected”:3},{“No”:83.87096774193549 “Yes”:16.129032258064516},{“nothing”:24 “detected”:7} </csv>

<csv> “Timestamp”, “你的性別 Your gender”, “你的年紀 Your age”, “公車或捷運，搭乘哪一個比較好? Buses or MRT? Which one is better?”, “一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you? (MRT)”, “鳳梨應該出現在披薩上嗎？ Should pineapples go on pizzas?”, “一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you? (pizza)”, “咖喱飯要拌還是不拌 Should the curry on curry rice be mixed in or not?”, “一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you? (curry)”, “你覺得下載盜版電影、書籍、軟體可以嗎？ Is it okay to download pirated content?”, “一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you? (movie)”, “殺人犯應該被處死嗎? Should murderers be executed?”, “一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you? (execute)”, “核能發電應該被廢除嗎? Should nuclear energy be banned? (execute)”, “一百個人裡面，你覺得幾個人會同意你的看法? Out of 100 people, how many people do you think would agree with you? (nucluear)”, 3/14/2024 22:14:35,女 Female,17,MRT 捷運,60 nothing,No 不應該,50 detected,Yes 要拌,50 nothing,No 不可以,60 detected,應該 Yes,70 nothing,不應該 No,80 detected 3/14/2024 22:16:59,女 Female,16,MRT 捷運,90 detected,Yes 應該,100 detected,Yes 要拌,50 nothing,Yes 可以,50 nothing,不應該 No,70 detected,不應該 No,100 detected 3/15/2024 9:55:45,女 Female,17,MRT 捷運,10 nothing,Yes 應該,10 nothing,No 不要拌,10 nothing,Yes 可以,10 nothing,不應該 No,10 nothing,應該 Yes,10 nothing 3/15/2024 14:21:47,男 Male,27,MRT 捷運,70 nothing,Yes 應該,100 detected,No 不要拌,100 detected,No 不可以,50 detected,不應該 No,50 detected,不應該 No,60 nothing 3/15/2024 14:27:19,女 Female,16,Buses 公車,50 detected,No 不應該,40 nothing,No 不要拌,80 detected,Yes 可以,70 detected,應該 Yes,90 detected,應該 Yes,60 detected 3/15/2024 15:57:55,男 Male,16,MRT 捷運,50 nothing,No 不應該,99 detected,Yes 要拌,69 detected,Yes 可以,99 detected,應該 Yes,50 nothing,不應該 No,30 nothing 3/15/2024 18:14:46,女 Female,15,MRT 捷運,70 nothing,Yes 應該,50 nothing,No 不要拌,50 nothing,Yes 可以,50 nothing,應該 Yes,40 nothing,應該 Yes,50 detected 3/15/2024 19:03:47,女 Female,16,MRT 捷運,50 nothing,Yes 應該,40 nothing,Yes 要拌,50 nothing,No 不可以,30 nothing,不應該 No,10 nothing,應該 Yes,60 detected 3/15/2024 19:05:53,女 Female,17,MRT 捷運,70 nothing,No 不應該,30 nothing,No 不要拌,50 nothing,No 不可以,60 detected,應該 Yes,50 nothing,不應該 No,60 nothing 3/15/2024 20:07:15,女 Female,15,Buses 公車,100 detected,Yes 應該,100 detected,No 不要拌,50 nothing,No 不可以,50 detected,應該 Yes,50 nothing,不應該 No,20 nothing 3/16/2024 2:59:22,男 Male,17,MRT 捷運,35 nothing,Yes 應該,30 nothing,Yes 要拌,70 detected,Yes 可以,60 detected,應該 Yes,75 nothing,不應該 No,50 nothing 3/16/2024 3:01:52,男 Male,17,Buses 公車,87 detected,Yes 應該,20 nothing,Yes 要拌,99 detected,Yes 可以,12 nothing,應該 Yes,75 nothing,不應該 No,60 nothing 3/16/2024 3:08:16,男 Male,18,MRT 捷運,50 nothing,No 不應該,50 detected,Yes 要拌,50 nothing,Yes 可以,50 nothing,應該 Yes,50 nothing,不應該 No,50 nothing 3/16/2024 3:52:55,男 Male,24,MRT 捷運,98 detected,No 不應該,100 detected,Yes 要拌,97 detected,Yes 可以,70 detected,應該 Yes,65 nothing,不應該 No,90 detected 3/16/2024 7:47:19,男 Male,17,MRT 捷運,90 detected,Yes 應該,50 nothing,No 不要拌,80 detected,Yes 可以,80 detected,應該 Yes,70 nothing,應該 Yes,80 detected 3/16/2024 9:54:01,男 Male,18,Buses 公車,50 detected,No 不應該,100 detected,No 不要拌,80 detected,Yes 可以,50 nothing,不應該 No,50 detected,不應該 No,80 detected 3/16/2024 10:54:46,男 Male,18,MRT 捷運,60 nothing,No 不應該,80 detected,Yes 要拌,35 nothing,No 不可以,80 detected,應該 Yes,75 nothing,應該 Yes,50 detected 3/16/2024 11:05:28,男 Male,16,MRT 捷運,80 nothing,Yes 應該,35 nothing,No 不要拌,99 detected,No 不可以,99 detected,應該 Yes,100 detected,不應該 No,50 nothing 3/16/2024 11:17:29,男 Male,21,Buses 公車,50 detected,Yes 應該,50 nothing,Yes 要拌,50 nothing,Yes 可以,50 nothing,應該 Yes,50 nothing,不應該 No,50 nothing 3/16/2024 14:21:14,男 Male,18,MRT 捷運,50 nothing,Yes 應該,30 nothing,No 不要拌,50 nothing,Yes 可以,20 nothing,應該 Yes,90 detected,應該 Yes,50 detected 3/16/2024 23:43:01,男 Male,16,MRT 捷運,70 nothing,No 不應該,100 detected,Yes 要拌,50 nothing,No 不可以,70 detected,應該 Yes,60 nothing,不應該 No,50 nothing 3/16/2024 23:44:29,男 Male,16,MRT 捷運,100 detected,No 不應該,100 detected,No 不要拌,50 nothing,No 不可以,60 detected,應該 Yes,40 nothing,不應該 No,90 detected 3/16/2024 23:45:33,男 Male,16,MRT 捷運,65 nothing,Yes 應該,70 detected,Yes 要拌,40 nothing,No 不可以,60 detected,不應該 No,2 nothing,應該 Yes,45 detected 3/17/2024 0:12:39,男 Male,16,MRT 捷運,80 nothing,Yes 應該,50 nothing,Yes 要拌,60 detected,Yes 可以,50 nothing,應該 Yes,90 detected,不應該 No,60 nothing 3/17/2024 10:16:53,女 Female,16,MRT 捷運,70 nothing,Yes 應該,30 nothing,No 不要拌,50 nothing,No 不可以,50 detected,應該 Yes,60 nothing,不應該 No,50 nothing ,,,{“MRT 捷運”:80 “Buses 公車”:20},{“nothing”:16 “detected”:9},{“No 不應該”:40 “Yes 應該”:60},{“detected”:12 “nothing”:13},{“Yes 要拌”:52 “No 不要拌”:48},{“nothing”:15 “detected”:10},{“No 不可以”:44 “Yes 可以”:56.00000000000001},{“detected”:15 “nothing”:10},{“應該 Yes”:76 “不應該 No”:24},{“nothing”:18 “detected”:7},{“不應該 No”:68 “應該 Yes”:32},{“detected”:12 “nothing”:13} </csv>