Hello everyone, I’m a french student in economics and sociologic, to satisfy my curiosity I’ve made a quick survey that I posted on r/mbti on reddit and on tumblr through mbti-hodgepodge. I thank redditors and tumblr users who kindely accepted to go through my survey.

Now I was going to make a detailed sociologic approach to the results, not wanting to disappoint you but sadly the survey didn’t happen to produce a representative population, that means that types weren’t equivalent to the population repartition I’ve seen on websites about MBTI; now maybe this survey is challenging the actual type repartition but with only 185 answers on only two sources of answers, it was evident that the survey was biased.

I apologize in advance for any weird or wrong sentences , I may be hard to read…

So that may sound disappointing but I will only post the statistical results I have, analysis and conclusions are up to you. I don’t know MBTI as much as you and I will let you analyse those results with MBTI eyes. For example I’m not mentioning functions which I know is a big thing about MBTI, but I can only give you a serie of graphics with the promess of a longer, better and deeper survey.

Thank you.

Results

Population:



As you can see, and why I think the population is biased is because of the domination by INFJs, INFPs, INTJs, and INTPs; the survey lacked good representation from other types. One hypothesis that could be made is to say that the actual population of reddit and tumblr who looks for MBTI and is captivated by it are mainly from those types.

As a consequence ESFJs, ESFPs, ESTPs, ESTJs and ISTJs will not have any data to show.





Scores:

Note that every type isn’t listed due to lack of answers from every type

Average score for « How accurate do you think MBTI is? » according to types (5 being the maximum)

ENFP: 3,69

ENTJ: 4,38 ( most convinced)

ENTP: 3,71

INFJ: 3,96

INFP: 3,42

INTJ: 3,73

INTP: 3,68

ISTJ: 3,67

ISTP: 3,86

ISFP: 3,10 (least convinced)

Average score for « How has MBTI affected the way you look at society? » according to types (5 being the maximum)

ENFP: 3,85

ENTJ: 4,5 (most impacted)

ENTP: 3,79

INFJ: 3,57

INFP: 3,17

INTJ: 3,77

INTP: 3,65

ISTJ: 2,83

ISTP: 3,36

ISFP: 2,5 (least impacted)

Notes on Job/study domain:

The way I have classified jobs and studies into the different categories you’re going to see is totally arbitral, I was aiming to isolate the most popular jobs and studies as their own category like Psychology even if it could be placed in social science. I am very conscious of the lost of variety and accuracy this can lead to, but I think it was more pertinent to classify as shown.

ENFP:

It was quite fun to see the gender repartition for types, like many types have a typical gender attached to it, these are social expectations and I always had the prejudice that ENFPs were a « woman » kind of type, this number approves this, but it was not the case for every type.

If we consider litterature, music and cinema to be in the same category, we could think that ENFPs are mainly attracted by Art, but it’s hard to say that it’s because of the mbti type than it is about the majority of women in the type; looking deeper in the data, we can notice that the male ENFP population of the survey is mainly responsible for the computer related jobs.

I will not say much about sports, there’s no pattern to be identified if a type does more sport than another as differences are tiny.

ENTJ:

ENTJs offer this 50% of social science related jobs, I would have love to say this is quite an illustration of ENTJ’s constant research of power over others, but sadly the survey population in this type was reasonably low. Jumping to conclusions with such low population doesn’t guarantee anything, this was the main downside of the survey.

ENTP:

ENTPs seem to be mainly, schoolers, looking for a job or not wanting to tell the survey their job.

ENTPs present here a sufficiently huge difference to make hypothesis on their practice on sport and about their faith, but it is also a trend on the total to have a majority of people not doing a sport and not being religious.

INFJ:

Again I’ve always seen INFJs to be more of a feminine type, I was also surpised to see how many people were INFJ as I always thought they were rare.

This case is interesting, the high number of INFJs shows great diversity in jobs but only one dominate the others: Psychology; a job that suits them quite well according to the type description, but I’m sure more knowledgeable readers on MBTI will better understand the reason why.

INFP:

INFP offers great diversity of jobs with a Social/Psychology dominant, followed by Art and Design. Looking deeper in the data, there’s no typical behavior based on gender, it just looks random.

INTJ:

Here for example I’ve always thought that INTJ were mainly a Male type, and this just proves me wrong.

For Jobs, we can notice that INTJs don’t tend to go in the Artistitic branch, Music, cinema, litterature and Design only make 19% of total jobs while all the other jobs are dominant with the strongest being « science » (Science includes Astronomy, physics, Biology, Maths but Statistics was linked with « information & computer related »)

INTP:

INTPs don’t show a significant favorite job, but because they are the most numerous in this survey, they might just illustrate that types don’t really matter in the choices of your job. But to support this I would have to compare it with tan official job repartition effective. Nonetheless they present a dominant carrier of information & computer related jobs, which is actually mainly constitued of computer scientists and porgrammers.

ISTP:

ISTPs have a dominant for engineering and computer related jobs, which also confirms to me the idea I had of the ISTP, they seem to be quite suited for these jobs.

ISFP:

Now art for ISFPs is supposed to be dominant, and on the graphic you can see two big categories: « Art » (40%) followed by Scientific jobs (30%).

What is actually striking is the lack of anything else, but again the low population of ISFPs in this survey explains it all.

Conclusion:

Low population was determinant in the survey, but I wanted to stop it quite early and not look for too much answers because of how imporvised the survey was. Doing this gave me some insights on what should be worked on for a next survey, I’ve taken feedback during the survey but I would be glad if you could provide more in the comments.

I know these results are disappointing but the lack of preparation is the direct cause of it. Thanks for reading this and have a nice day.

I’d like to apologize for my lack of knowledge on different types, and if anyone has been offended by comments I made on types or even by this article.