Tag Archives: psychology

Introducing Nanaya Romantic Personality

After several years of running Nanaya we’ve built up one of the largest databases of romantic outcomes to ever exist. Unlike dating sites, Nanaya has data on how people actual live their lives and have romances in the real world – not just in the “Tinderverse.” We also have plenty of data on people in relationships. Unlike Facebook, Nanaya has data on personal values, experiences, and accurate personality data. What all this means is that our research is going to be a lot more complete and accurate than what anyone else can hope to do.

Over the course of our research, we’ve identified personality traits that have significant impact on romantic outcomes. As a result, we’ve developed the brand new Nanaya Romantic Personality Quiz. In about 30 questions, we can describe romantic personality and outcomes better than anything that exists, whether it’s Myers Briggs or any other personality test. But more on that later!

There are free and premium versions of this quiz. The free version is shorter and offers your approximated Nanaya Romantic Personality Type. For users who want an accurate answer, they can opt to pay for Nanaya Premium.

So what does Nanaya Romantic Personality describe?

Nanaya Romantic Personality

There are four dimensions to Nanaya Romantic Personality. For each dimension, there are two traits that describe each side of the dimension. As we detail below, each trait is associated with a letter.

That means everyone is described by a four-letter Nanaya Romantic Personality Type. For anyone who has taken the Myers Briggs assessment, this should sound very familiar!

So let’s learn a little bit about the dimensions and traits that define them.

Dimension #1: Energy

Energy describes how actively people approach the relationships they are in. At one end of the spectrum, people are more expressive, creative, playful, and intensive. We describe these people as Passionate, represented by the letter A. One the other end of the spectrum, people tend to be more reserved (not necessarily “introverted”), calm, and sober. We describe these people as Tranquil, represented by the letter I.

Dimension #2: Confidence

Confidence describes how much reassurance and emotional validation people need from their partners to be satisfied in a relationship. At one end of the spectrum, people are more independent, daring, and self-satisfied. We describe these people at Secure, represented by the letter S. At the other end, people are more cautious, deliberate, and needing of attention. We describe these people as Careful, represented by the letter C.

Dimension #3: Determination

Determination describes how much people are able to define and stay dedicated to achieving their personal goals. For some people, these personal goals can be relationship goals but not always! On one side of the spectrum, people are more focused, strict, and consistent. We describe these people as Rigid, represented by the letter R. On the other side of the spectrum, people are more lenient, open-minded, and able to adjust to the decisions of others. We describe these people as more Flexible, represented by the letter R.

Dimension #4: Lifestyle

Lifestyle describes how open people are to new experiences. “New experiences” doesn’t always mean living an adventurous lifestyle. On one end of the spectrum, people are more satisfied living a varied life, always trying new things. We describe these people as Wild, represented by the letter W. On the other side of the spectrum, people are more content to fall into routines, stay in on weekend nights, and attend to create comforts. We describe these people as Tame, represented by the letter T.

To be clear, Wild can mean something as simple as people who are open-minded to trying new restaurants. Conversely, people who always going mountain climbing or traveling to the same, exotic vacation spots don’t necessarily qualify as Wild.

Nanaya Romantic Personality Types

When all four dimensions are added together, we can define someone’s Romantic Personality. For instance, I’m ACRW: Passionate, Cautious, Rigid, and Wild. Nanaya data tells ACRWs like me that we tend to stay single longer, and are more content being so, living more exciting romantic lives than other Romantic Personality Types. Given all this information, the Nanaya Romantic Personality Report gives tips and suggestions how to get to the romantic goals I choose…without having anyone’s heart broken.

I don’t want to share too much, though! Find out your Nanaya Romantic Personality by taking our quiz!

Why Use Nanaya Romantic Personality?

Using online dating in the United States, it’s common to see people describe themselves by their Myers Briggs type. But let’s face it: Myers Briggs sucks and has little to no place describing relationship dynamics and romantic outcomes. There is no shortage of source online that detail why. At Nanaya, we encourage people to follow up with academic sources. But for your reading and viewing pleasure, consider these places to start: 1, 2, 3.

So why don’t people use any other personality test? There simply isn’t a free, easy-to-use Romantic Personality Test online that’s valid and linked to romantic outcomes. At Nanaya, we want to change this.

At Nanaya, we have partnered with Traitify, who provide our accurate and validated personality testing. We evaluated this data, along with romantic outcome data, to determine a combination of dimensions that are valid, easy to interpret, and have implications for romantic outcomes.

For those familiar with the Big 5 assessment, the canonical personality assessment used in psychology research, you’ll notice that Nanaya Romantic Personality dimensions are eerily similar. This was not by design but the result we arrived at through data analysis. The fact that our research led us to the canonical solution offers some additional validation that what Nanaya offers should provide our users with a meaningful, valid personality type. However, because people are most familiar with Myers Briggs, we have structured our results so people can more easily relate to the results of their assessment.

Finally, as described above, our free Romantic Personality Quiz approximates their Nanaya Romantic Personality. For users who want an accurate assessment, our premium Romantic Personality Quiz and Future Prediction Test will offer a detailed, validated personality test served by Traitfy. Premium Romantic Personality users will also receive a detailed report of their personality beyond romantic personality.

Making Sense of Nanaya Report Scores

The Nanaya algorithm does a lot of heavy lifting to determine your romantic future, generating thousands of numbers that tell us a lot about your next seven years of romance. Unfortunately, unless you’re a computer it’s hard to actually to make sense of them.

When Nanaya comes out in a few weeks, you’ll notice several different scores in your personalized four page report. These scores break down those thousands of numbers into something bite-sized and easy-to-understand. Let’s go over what scores exist in Nanaya romance and friendship prediction reports.

Report Scores

Want to know how you’re perceived as a lover or a friend? We have you covered with Romance and Friendship Scores. These scores are directly calculated from the algorithm using algebraic formulas and range from 0-10.* However, your personality test results will be scored from -100 to 100.

The Romance Scores are:

  • Hot Fling: This score tells you how well suited your personality is for short-term romances. In particular, there are certain traits that make more likely to be successfully at wooing people and having a good time. In short, people who are more outgoing, less serious, and more adventurous will be the type of people who can get someone’s attention and affection – if only for a night.This study by Schmitt and Shackelford does a good job of describing what sort of personalities go into our Hot Fling score. Our personality test is a little bit more detailed than the Big Five assessment, so we we’re able to develop a more nuanced short-term romance score.

    Finally, this score doesn’t actually come from our algorithm but through reading research by folks like Schmitt and Shackelford. Of course, Nanaya can’t comment on your physical appearance and how it would affect your score – but because the science and technology exists, we certainly could.

  • Slow Burn: This score is the long-term romance version of Hot Fling, describing how well suited you are to keeping a long-term relationship going. Being positive, committed, and thoughtful are important here, but so are some of the aspects of the Hot Fling score. Being creative, open to new experiences, and expressiveness are traits shared by both scores. Because of that, it is possible to score highly in both. A good lover can also be a good partner!Like Hot Fling, this does not come from the algorithm but reviewing the literature on relationship psychology.
  • Romantic Selectivity: This one is tells us how picky you are, as simple as that. If you were to imagine every trait, value, lifestyle choice, and facet of identity a circle – you’d have a Venn diagram with the intersection being the perfect match. Romantic Selectivity tells you how small that intersection is. The higher the Romantic Selectivity score the pickier you are! This is the one Nanaya score you don’t want to score highly on! That said, even if you have a high selectivity score you might still be in luck if you’re social and interact in the right groups of people.
    The Venn diagram to your heart.
    The Venn diagram to your heart.

    This is calculated from the Nanaya algorithm. *There’s a chance that some early users might see a score above 10. After the first 10,000 users, we’ll readjust the way we score this.

  • Romantic Opportunity While we’ll have a nifty chart telling you your odds of finding love, it has a lot of lines and numbers that might be confusing. We boil that one chart down into one score: Romantic Opportunity. It’s essentially your maximum chance of finding a good match within the seven years. Higher your score, higher your odds. Simple as that!This is computed directly from the Nanaya algorithm.

The Friendship Scores are:

  • Fun Friend: This is the Hot Fling score for friendship – specifically, how does your personality suit you as a fun person to be around. People who are out-going, light-hearted, and not serious score well – but the traits and values going into Hot Fling are certainly not here. For instance, you don’t need to be open to new experiences to necessarily be a fun friend.This is not calculated from the Nanaya algorithm.
  • Best Friend: By now you might be catching the pattern! This is the Slow Burn score for friendship. But like Fun Friend, some traits and values important to romance are certainly not important to friendship. While shared traits include those related to conscientiousness and patience, independence plays a bigger role here while being deliberate in your actions does not.This is not calculated from the Nanaya algorithm.
  • Social Growth: For Social Growth, we take all the different equations in the Nanaya algorithm for social interaction and add the results in a way that expresses to us what your propensity is for expanding your social circle in the next seven years. This number is the result of hundreds of calculations that we boil down into a single number. The higher your score, the more likely you’ll be to make more friends and, directly, to find love. If you were to say you were interested in moving to a new city in the next seven years, the value will change – not only based on you leaving the city but the size and demographics of the city or cities you’re interested in moving to.This comes directly from the Nanaya algorithm. *Some scores early on may be greater than 10. After the first 10,000 users, we’ll fix that.


There’s nothing more esoteric than getting a mystery score on a personality test. I mean what does a Hot Fling score of “5” really mean? Percentiles are a good way to place a meaning to those numbers. A percentile is the percent of people in the population who score below you. If you are in the 80th percentile, that means 80% of the population has scored below you.

Source: https://www.mathsisfun.com/data/images/percentile-80.gif
Source: https://www.mathsisfun.com/data/images/percentile-80.gif

For every score, we report your percentile compared to people of the same gender and orientation in your area! That gives you a good idea of what that Hot Fling score of “5” means. That 5 might not sound impressive, but if it puts you in the 90th percentile, that might be something to brag about on Facebook.

Even though it’s technically impossible to score in the 100th percentile (you can’t score better than 100% of the population because you are in the population), we defined it so you can to stay consistent with other scoring. Rejoice!

Match Scores

Nanaya is the first service that finds match scores between you and groups of people – not just specific people. For instance, we rank how compatible each US state is to you – each with a match score. If you log in with Facebook, you’ll have a chance to see how you match romantically and socially with people on your friends list.

These are calculated with a special distance formula – much like how folks at OkCupid and eHarmony calculate the same thing. The figure below gives you a rough idea of how it’s done. If there’s some imaginary plane of all possible traits and values, you are assigned a point, think like (x,y) from Algebra I, as a single individual. We have come up with a way to assign a single point for groups of many different people – and each group assigned a point accordingly. We simply look to see who’s closest! Below, Group C would score highest because it’s the closest to you in traits and values. Group D scores lowest because it is the furthest. Our calculations are far more complicated that this, but this the general principle.

A simplified explanation of match scores. Yes, simplified.
A simplified explanation of match scores. Yes, simplified.

*For the first 10,000 users, the maximum scores for every set of matches (i.e. US states, job types, Facebook friends) will be set at 100 artificially. So Group C would be assigned a match score of 100, even though it is possible to get closer to your point.

Odds & Ends

Names for scores are subject to change. Even though we’re close to done, we’ve been putting a lot more work into the algorithm and the site than branding!

*Warning: math discussion.  If you’ve been scratching your head over all those asterisks, it’s because we’re cursed…cursed by dimensionality. Specifically, the report and match scores and are calculated over enough dimensions that it becomes increasingly difficult to really know how much of these highly dimensional, continuous spaces are sensibly occupiable. Solution #1 is to use the boundary condition on all the inputs – but this is a really big parametric space and it actually isn’t clear what edge conditions are. Moreover that input parameter space is about equal in size to the space of Nanaya algorithm-derived report scores and well above the dimensionality of personality and match scores. Minimally, we can get some idea but it’s a very rough approximation. We’re currently checking boundary conditions in our testing which is why scores ought to converge to less than 10 but we don’t expect that to actually happen. Otherwise, Solution #2 is to let reality dictate the solution – let users fill the space so we can analyze it and see what’s occupied. This will obviously be something we tweak in time, but it will cause scores to vary in time for the first few ten thousands of users.

As always, direct all questions, media inquiries, mathematical and metaphysical objections, and invectives to info@nanaya.co. Don’t worry, we’ll always love you.

Which Careers Make for the Best Lovers?

A little over a month ago, I used Nanaya’s database of personalities to figure out which nation had the best lovers. Now that we’re almost at 20,000 users, Nanaya has enough data to see which industries have the best lovers. Below are the composite scores:

Career List

But there are averaged between men and women. Looking at men and women separately, they break down as follows:

Career Gender

Of course, this is just an overview. Drilling deeper into the data we can take away the following conclusions:

  • Across industries, the scores are very close but distributions are not identical.
  • While genders as a whole are generally identical, men and women in the same industry do have slightly different personalities.
  • Based on the previous post, there’s a strong correlation between higher romance score and divorce rate. Data here appears to reinforce that conclusion.
  • Gender gap in industry-specific employment shows up in the Nanaya data set.

First a technical clarification between “career” and “industry.” There are many different careers that exist across industries, e.g. a secretary can be employed in just about any of these industries. While the specific career might be the same, the workplace environment and potential dating pool can be drastically different.

What did we actually find out?

No matter what you do, we’re all pretty similar

Jak’s favorite type of chart is the bar and whisker chart. The one below looks at the distribution of romance scores across industries. It’s worthwhile to note how similar they are.

Bar and wisker chart of romance scores across industries. Box encompases interquartile range (IQR) and whiskers encompas 1.5xIQR.
Bar and wisker chart of romance scores across industries. Box encompases interquartile range (IQR) and whiskers encompas 1.5xIQR.

Maybe if we break down personality traits beyond romance, we’d see some larger differences. The ones we do see are pretty sensible:

  • The retired are less romantic. Here I stress that we determine romantic as a set of traits that generally indicate spontaneity and willingness to grow. By the time someone retires, they’ve closed most of the chapters of their life.
  • Students are the most represented group, at over 5,000 but also have the largest standard deviation. No matter the profession later in life, you probably were a college student so “student” is a bit of a catch-all.

When broken down into gender, the workplace does look different – but only by a little.

Let’s consider the distribution of all romantic scores for men and women.


They’re nearly identical. But this does break down a little bit when we look at each career. In fact, for most we see nearly identical peaks but varying behavior at the tails. Interestingly, we see a role–reversal between men and women in law and medicine.



So does this mean that the match made in heaven is a male doctor and female attorney? No. These are aggregate scores and no individual is an aggregate. As much as it seems careers may be similar, the distribution of personalities and the nuances of culture do vary! Maybe more on that another time.

Romance & divorce

A remarkable finding from the post on nations was the relationship between high romance and marriage-to-divorce rate ratio. While we don’t have any real marriage rates for industries, we can look at divorce rates for occupations based on the 2000 US Census.

Topping the high divorce rate list:

  • Dancers and Choreographers
  • Bartenders
  • Massage Therapists
  • Gaming Cage Workers
  • Extruding and Forming Machine Setters

The jobs with the lowest divorce rates are:

  • Agricultural Engineers
  • Optometrists
  • Military Members
  • Clergy
  • Transit and Railroad Police

We do see entertainment and creative at the top of both lists while agriculture, military, and transit (sort of) are at the bottom of both! Interesting!

Unfortunately, we have he least amount of data on those in the military, at about 200 people, so it’s hard to say if those values are really indicative. It is interesting that women and men are on the opposite ends of the spectrum, even if it is generally narrow.

Gender gap & employment

Notably, we had almost an even number of men and women in the military which is surprising given the reality, at least in US and uniformed service.

Screen Shot 2015-04-14 at 10.23.57 PM

Being an engineer, I wondered how well Nanaya demographics covered the gender gap seen in America. As of 2012, about 22.2% of engineers in America are women. In the Nanaya database 40% of people in technology & engineering are women.

Both of these anomalously high values make sense given that the majority of people who have taken the Nanaya personality test are not American! As a topical contrast, about 70% of women studying science and engineering in Iran are women.

Ok, so what does this mean for romance?

You might not want to date someone you work with but it’s not uncommon to date people you’ve met through people you work with or through work itself. So when it comes to your romantic odds, where you work and what you do is a major factor.

The data uncovered implies that there are some differences across industries, but they’re not major. What may make even more difference is how you interact with people through work. For instance, a straight woman working in retail sales will have a higher chance of meeting people if she works for a store catering to both genders as opposed to only women. When it’s ready Nanaya will take these into account.

How did we do this?

The same romantic score methodology was used as the post on nations. You can check that out here.

Odds & Ends

There’s an obvious sample bias: respondents were interested enough to take a personality test on Nanaya. This crowd is a bit younger, more male, and more urban.

Most industry data is quite large (~2,000) but the retired and those in the military are below 1,000. Data set was pulled in early April with over 19,000 respondents. People can select up to three “jobs” on the demographic screen to account for careers overlapping industries – this certainly contributes to similarity across industries!

Relationship Scores are synthetic metrics and aren’t a part of a Nanaya algorithm.

Don’t like what you see? The more people take the personality test, the sooner Nanaya will be available.

If you want to complain, send invectives and curses to info@nanaya.co, we’ll still love you.

Bar & whisker chart plotted in Tableau Public & histograms curiously done in Mathematica.

Women Aren’t Crazy

Nor are men. Or if women are crazy, then everyone’s crazy.

How do we know?

Over the past two months we’ve been building the database for the Nanaya algorithm – the first app that can scientifically forecast your love life and help you make romantic and social decisions. A major part of the algorithm requires searching through a database of personality traits.

Well measuring “crazy” is easier said than done. “Crazy” could mean a lot of things but I’m pretty sure people aren’t playing armchair psychologist when they accuse someone of it. Instead, let’s consider common relationship complaints of what “crazy” implies from what we’ve analyzed in our database.

  • Rational – this personality type encompasses a lot of other traits regarding how self-consistent and procedural someone is. More irrational, the more they may appear as “crazy.”
  • Extreme ­– a trait contrasting with moderation. A person who is more extreme will lend itself to excess in their behavior. A partner may view someone who is extreme in their beliefs or behavior to be “crazy.”
  • Impulsive – a trait contrasting with inhibited. A person who is more impulse will exercise less self-control. A partner might see “crazy” manifested as impulsiveness.


Do note there are more men than women in the database. Also, it’s worth mentioning that gender isn’t fed into the personality test even though we ask for it.

Seems that men and women are essentially identical when it comes to these traits. These distributions are very similar. We can break out the actual descriptive stats with the table below.

It bears mentioning that this data is international and about 20% of the data reflects America. If you’re interested in what a regional breakdown looks like, check out our last post on which nation is the best lover.

So there’s really no difference in gender when it comes to these traits. Surprised?

 Obligatory Discussion

I have no idea where the notion that “women are crazy” first entered my mind when I was a boy. Playground talk involved cuties more than calling anyone crazy. I don’t remember my father expressing that when I was a boy. I can chalk it up to media or Hollywood, but even childhood memories of “I Love Lucy” seem relatively on par with mainstream dialogue on sexism. After a bit of thought, I still have no idea.

The bottom line is that the where and when I first heard “women are crazy” is as irrelevant as it is inevitable. “Women are crazy” is a popular, but non-scientific idea and it goes back a bit in history.

Of course, similar things can be said of men who are crazy in their own ways, chalked up as being emotionally insensitive and hormonally driven to commit acts of violence. There’s something troubling in the timeless pattern of young men always being the ones happy to march to war.

I wouldn’t blame “crazy” for failed relationships but I do blame people for using the label as an excuse to not be better listeners.

The distributions seen above are exactly that: distributions. For the psychology nerds out there, you can note the wider standard deviation on Rational as it is a synthetic score. That wider standard deviation implies that people really are different.

There’s nothing more “average” than not actually being average. Just as everyone is unique in their own way, what they’ll be compatible with will be just as unique. Of course that uniqueness comes with not just personality, but social context, history, and desires as well.

More reason to build Nanaya – to actually have a romance app that looks at the big picture and the small details to help you make decisions. Please help out and take the personality testThe more people take the personality test, the sooner Nanaya will be available.

 Odds and Ends

If you want to complain about methodologies, gender-normative color selection, or anything else, send invectives and curses to info@nanaya.co, we’ll still love you. Through the power of the internet, that very same email also works for positive feedback and questions.

Data was pulled from the Nanaya dataset as of early March at around 17,000 users.

Histograms & analysis done in Mathematica.