Tag Archives: statistics

Probability and Nanaya’s Predictive Power

When you get your Nanaya Romance report, one of the first things you’ll see is a chart predicting your odds of finding love over the next seven years. For everyone, this is a line that starts at 0% as we calculate odds based on the moment you take the test. As you meet people in time, your odds increase.

But what do these odds even mean? For instance, if you see your odds of finding a match are 50% three years from now, what does that actually mean for finding love? Is it actually a coin flip? How can we even test that this is accurate when the future hasn’t happened?

To better answer that question, let’s consider the odds of roulette. For those who have seen the move Run Lola Run, it’s hard to forget the scene at the casino. Lola, the movie’s protagonist, needs to raise 100,000 Deutsche Marks to save her boyfriend. She goes into a casino with hardly enough cash to enter and places everything on Black 20…

She wins, but why stop? She doubles down on Black 20…and wins again.

What are the odds? On a standard European roulette wheel there are 37 numbers, from 0 to 36. So the odds of a bet are 1/37. For a successful double-or-nothing wager those odds are (1/37)2. I could have told her that as she was walking in that it’s all but impossible to save her boyfriend in a casino. After all, casinos make money because are odds are always on their side.

It’s easy to make that argument. I can look at a roulette table and know how many choices there are. For any spin of the wheel, there are 37 possible outcomes and only one number will be picked. If you play an infinite number of games, you start to see what the odds 1/37 actually mean in practical terms. To some extent, the Nanaya algorithm works like this. We look at our database to determine the odds of the person you run into at work, through your friends, around town, etc. being the sort of person you would be compatible with and with which there may be mutual attraction. So these odds can be interpreted like the odds in roulette – if you play the game many times (i.e. meet a lot of people), you’ll start to see the effect of those odds.

The Nanaya algorithm predicts the number of people you’ll actually meet and how often you’ll meet them to create a probability distribution based on all those interactions and single-event probabilities. This tells us in time what the net odds are of finding love. But interpreting that probability is a lot trickier than a game of roulette.

Imagine Lola placing her first bet. She knows the odds are 1/37 – but does that practically matter when she can either win or lose. The odds can be 50% or even 99.9% and she can still lose. If you’re only playing one game – how you interpret odds becomes rather subjective.

Like a single game of roulette, we only live one life. So when Nanaya says your odds of finding love are, for instance, 75% four years from now – what does that mean? How can it even be confirmed?

One of the most famous examples of this is how Nate Silver applied statistical simulations to the presidential election of 2008. Even though there can only be one presidential election, he used poll data and their margins of error to simulate 10,000 virtual elections to see what all possible outcomes would look like. He took the average of all those possible outcomes to assess some prediction of the winner. So a result may look like Obama winning 5,800 of those virtual elections, thus giving Obama a 58% chance of winning the election.

“The most important thing to remember in reviewing your Nanaya results is that it’s not about the number itself, it’s about what you do with the number.”

But there’s a lot of subjectivity in this calculation and how it’s interpreted. This is a fundamental problem in the philosophy of probability. What odds mean to practical, subjective human beings has always been contested. After all there can only be one election. The paper The Probabilities of Unique Events by Khemlani, et al. has a great discussion of interpretation of probabilities and how subjective reasoning and belief plays into prediction and decision-making. For an overview of the entire subject, Wikipedia provides a glimpse into the rabbit hole of the philosophy of probabilities.

The way I personally perceive our Nanaya predicts is as a propensity. The odds indicate a degree of likelihood that an event will happen. Otherwise, living only a single life, it’s impossible to perceive the odds meaningfully. It gives us a basis for suggestions as how to improve odds and perform other calculations, so long as probabilities are treated consistently. Nate Silver’s guide to how he predicts senate campaigns is rather similar to how we’ve gone about what we’re doing. While for any person the odds are immediately unverifiable – the model is well-behaved, probabilistically determined*, and incredibly responsive to inputs. Because of this, we expect that no two Nanaya reports will be identical. Our model for predicting the odds of finding love was validated by people’s past decisions to leave and enter relationships.

To validate our modeling, there’ll be an extra question in our “Final Questions” portion of the questionnaire that asks if we can follow up for research. For those that select yes, we may send an email in the future to see if you’ve entered a long-term relationship by clicking “yes” or “no.” It’s by checking in on the many thousands lives of users that be certain Nanaya is calculating probabilities the way it should.

Love may come easily, but predicting love and interpreting probabilities is a tricky subject. The most important thing to remember in reviewing your Nanaya results is that it’s not about the number itself, it’s about what you do with the number. Our goal is that Nanaya helps you reflect on what makes you truly happy and your life goals – and that’s a whole lot more than a single number.

Odds & Ends

*The way we currently model sociological interactions is wholly deterministic, based on the inputs from the questionnaire. We have ideas for how to modify this in the future, but given the complexity of human interactions it’s unclear if probabilistically-derived social modeling using our data set will yield better results than our deterministic models.

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..

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.

Percentiles

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.

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.

¿Qué nación es el mejor amante? Pregunte Nanaya

Vamos a ir directamente al grano.

Most Romantic Nations

International Net Romance Scores.

¿Puntuación más alta, mejores amantes?

Ok, así que es muy difícil salir con todo un país, pero podemos describir la población de un país. Entonces, ¿cómo podemos decir en qué país es “el mejor amante” o simplemente “más romántico?”

Llevamos a nuestra base de datos de personalidades mundiales, escogimos los países con la mayor cantidad de datos y rasgos ponderados que impactan el romance para llegar a diferentes puntuaciones de romance.

Se nos ocurrió con tres tipos de puntuaciones románticas y descubrimos:

  • Países mediterráneos tienen las poblaciones más románticos y los países de América Latin tienen la menos. Naciones de habla inglesa están en el medio
  • El amor puede ser un lenguaje universal, pero el idioma nacional es menos importante que la proximidad geográfica y la cultura compartida.
  • Los países más románticos tenían más divorcios para cada matrimonio.
  • Los países más románticos tenían niveles del desempleo más altos. Pero Nanaya necesita más datos para confirmar esta relación.

¿Cómo lo hicimos esto?

Nanaya será un servicio que puede pronosticar su amor y vida social – pero corriendo el Nanaya algoritmo necesita una gran base de datos de personalidades. Desde mediados de enero, tiene Nanaya pruebas de personalidad alojados para construir esa base de datos. A diferencia de muchas pruebas de personalidad en línea, esta prueba fue construido sobre los cimientos de la psicología científica, produciendo resultados repetibles.

En las últimas semanas, hemos tenido más de 15.000 usuarios en todo el mundo toman la prueba principal de la personalidad. Si usted no ha tomado, hágalo aquí .

Podemos tomar los resultados de las pruebas de personalidad numéricos para determinar qué hace que un buen amante, ya sea para una aventura caliente o un largo plazo, relación estable:

  • Puntuación de Fling Caliente. Flings calientes son todos acerca de la aventura y la exploración, del mundo y de sí. A parte de esto es ser social y carismático. Sin estos rasgos, nadie da el primer paso. Consideración es importante, de esa manera usted puede leer las emociones de los demás y actuar en consecuencia, pero arrastra a los demás en valor.
  • Puntuación de Relación Estable. Relaciones estables son un asunto diferente. Cosas como la fiabilidad y seriedad comienzan a ser más importante para hacer una relación pasada. Para ser claros, esto es más de un término descriptivo que algo que se ha correlacionado.
  • Puntuación de Romance Neto. La relación correcta es una mezcla de una aventura caliente y relación estable. He añadido y normalizado los puntajes para llegar a la clasificación en la parte superior.

Sin duda, lo que lo convierte en una aventura caliente y una relación estable se relacionan – pero no son exactamente los mismos. Diseñé las puntuaciones de “aventura caliente” y “relación estable” pesando los diferentes rasgos de personalidad diferentemente. A continuación, calculamos estas partituras para las distribuciones de personalidades en los países en que tuvimos la mayor cantidad de datos. Hay muchos más países en nuestra base de datos que los de este estudio, pero no hay suficiente para resultados “significativos”.


Mejores Naciones para Romance

A continuación se muestra un gráfico de burbujas que muestra las puntuaciones de Fling Caliente y de Relación Estable para estos países.

Romance Scores Grouped by Language Spoken

Bubblechart of Romance Scores with grouping by language. Red is Spanish, green is Portuguese, blue is English, and grey is Greek. The size of the circle denotes scaled standard deviation of the national personality distribution.
Gráfico de burbujas de puntuaciones de Romance Neto con la agrupación por idioma. Rojo es el español, el verde es portugués, el azul es Inglés, y el gris es el griego. El tamaño del círculo denota la desviación estándar de la distribución ajustada a escala de las personalidades dentro de cada país.

Esperamos que estos resultados sean algo relacionado. El hecho de que están en una línea significa que están altamente correlacionados y tiene perfecto sentido en función de cómo diseñamos las puntuaciones. Dicho esto, no son exactamente iguales. Las diferencias surgen si las clasificamos separadamente.

Ranking of Hot Fling & Stable Relationship Scores

Ranking of studied countries for Hot Fling and Stable Relationship.
Ranking of studied countries for Hot Fling and Stable Relationship.

Lo sentimos reportar, Argentina. Si ayuda, esto es sólo un número y el amor no es un número.

Sin embargo, nuestra primera suposición de que el lenguaje era un rasgo cultural unificador estaba equivocado. Vamos a tratar de una manera diferente de agrupación. Tenga en cuenta, los resultados no cambian!

Romance Scores by Cultural Grouping

Bubblechart of Romance Scores with grouping by “culture.” Red is Latin American, Blue is English speaking/Protestant, and grey is Mediterranean (yes, we know Portugal is on the other side of Gibraltar). The size of the circle denotes is again based on standard deviation of national personality distribution.
Gráfico de burbujas de puntuaciones de romance con agrupación por “cultura”. El rojo es de América Latina, El azul es de habla Inglés / protestante, y el gris es mediterráneo (sí, sabemos que Portugal está en el otro lado de Gibraltar). El tamaño de los círculos denota que se basa de nuevo en la desviación estándar de la distribución de personalidades dentro de cada país.

Estas metodologías de agrupación nos dan tanto una distribución más sensata, más apretada.

Ahora hay algo único acerca de los países mediterráneos que conduce a mejores amantes? Grecia no es un país católico, mientras que España y Portugal si son predominantemente. Una característica unificadora es que todos tienen un desempleo relativamente alto.

Bueno, hay un pensamiento, ¿quizas el desempleo y la puntuación romántica tienen una relación? Sólo tendremos que recoger la Puntuación de Hot Fling Puntuación ya que hay una correlación fundamental entre las puntuaciones de Relación Estable y de Romance Neto.

Hot Fling Score and Unemployment

Is this a geometric correlation!? Maybe we just need more data. Notice US & UK are almost entirely overlapping.
¿Sería una correlación geométrica? Quizás, sólo necesitamos más datos. Aviso de EEUU y Reino Unido son casi en su totalidad de superposición.

¡Caramba! Así que cuanto más amorosa y apasionada una nación, ¿menos probable es que va a estar en el trabajo o que las instituciones nacionales sean estables? Hay un montón de historia, los acontecimientos recientes, y otras métricas que requieren profundidad para probar esto. Soy escéptico, pero es interesante.

Bueno, si hay una correlación, ¡no es una lineal! Tal vez vamos a volver a esta correlación cuando tenemos más datos. Para los curiosos, sacamos nuestros datos de desempleo basado en los valores de enero 2015 aquí .


¿Qué hay de Género?

Así que para un país y rasgo dado, qué parecen ser las diferencias entre hombres y mujeres?

 

Por lo general, los hombres y las mujeres tendrán distribuciones muy similares para un rasgo dado en un país específico. Consideramos que la “seriedad” de los griegos de abajo.

A histogram of the trait of Thoughtfulness of Greeks. Here we see the Greeks are very thoughtful, with a distribution skewed toward 100, which is the most Thoughtful score. Note that men and women are nearly identical.
Un histograma de la característica de consideración entre los griegos. Aquí vemos los griegos son muy pensativos, con una distribución sesgada hacia 100, que es la puntuación más pensativo. Tenga en cuenta que los hombres y las mujeres son casi idénticos.

Pero esto puede ser contrastada por unos pocos casos que sesgan los resultados entre hombres y mujeres, como en las dos puntuaciones de romance diferentes. Aquí, nos fijamos en el carisma de los brasileños.

Esto es sólo una breve descripción de la diferencia que hace el género. ¡Estén atentos al blog Nanaya para futuros puestos en discusiones sobre el impacto y el papel del género en la psicología y la sociología!


Puntuación romántico y éxito romántico

Ahora todo esto es para el entretenimiento, si no vemos una correlación real entre la puntuación romántico y la realidad. Pero, ¿que es una buena revisión de la realidad?

Necesitamos un indicador disponible públicamente que nos dice que las personas están entrando en relaciones a largo plazo, mientras seguiendo la frecuencia en cual la gente están dejando sus relaciones. Mi conjetura es que los países más románticos, más van a ser capaces de mantener relaciones con un menor número de divorcios por cada matrimonio. Bien, hay un nombre para ese indicador: proporción de la tasa de divorcios en contraste a la nupcialidad (datos desde aquí ). Desafortunadamente, no hay tasa de divorcios a disposición del público de Argentina, pero por lo demás tenemos el siguiente.

Hot Fling Score Vs Divorce-to-Marriage Rate Ratio

Hot Fling Score vs. Divorce-to-Marriage Rate Ratio.  R2 is 0.61, P=0.0368, T=2.83
Hot Fling Score vs. Divorce-to-Marriage Rate Ratio. R2 is 0.61, P=0.0368, T=2.83

Hmm… Aquí, Grecia es un caso atípico. ¿Por qué? Podría haber muchas razones, tal vez para ser cubierto en otra entrada del blog en el futuro. Dicho esto, mirando a nuestro valor de P-test que hacemos vemos algunos de correlaciónes lineales. Si tuviéramos una buena razón para tomar Grecia fuera de la imagen, al igual que algún rasgo cultural único invisible en este nivel de datos (por ejemplo, Cristiandad Ortodoxa), tendríamos lo siguiente:

Hot Fling Score Vs Divorce-to-Marriage Rates Ratio (no Greece)

Hot Fling Score vs. Divorce-to-Marriage Rate Ratio with Greece removed.  R2 is 0.99, P<0.00009, T=20.52
Hot Fling Score vs. Divorce-to-Marriage Rate Ratio with Greece removed. R2 is 0.99, P<0.00009, T=20.52

Así que resulta que mi suposición era errónea – completamente equivocado, pero de la mejor manera posible. Más datos nacionales sería genial, pero simplemente no tenía idea de que no habría esta fuerte   de una correlación lineal.

Incluso con Grecia, mientras que la puntuación de romanace es un predictor de éxito a largo plazo, la más romántica de la nación los más divorcios habrá. Más intercambios de romance y más intercambios emocionales pueden permitir más espacio para el crecimiento de nuevas oportunidades románticas dentro de las grietas de las relaciónes anteriores. ¡Esto se aplica incluso en países católicos!

Sólo tenemos unos pocos países de tamaño estadísticamente significativa, pero espero que podamos hacer de nuevo este estudio después de ver cómo este indicador puede cambiar. Incluso con Grecia, nuestro valor de P-Test todavía indica correlación.

 


 Odds & Ends

Hay un sesgo de la muestra que pasa a través de todos los países en que es bastante uniforme: eran lo suficientemente interesado como para tomar una prueba de personalidad en Nanaya. Esta gente es un poco más joven y más urbano que toda la población nacional. Tal vez un post más adelante se discutirá cómo podemos controlar estadísticamente estudios Nanaya.

¿No te gusta lo que ves? ¿Quieres ver incluido su país?   Tome la prueba de personalidad y hacer grandes datos. Cuantas más personas toman la prueba de personalidad, la Nanaya pronto estará disponible.

Si desea presentar un reclamo, envíe invectivas y maldiciones a info@nanaya.co, todavía te queremos.

A través del poder de la Internet, esa misma dirección de correo electrónico también trabaja para la retroalimentación positiva y preguntas.

Las puntuaciones de Fling Caliente, Relación Estable, y Romance Neto son indicadores sintéticos y no son parte de un algoritmo Nanaya.

Los datos se extrae de la base de datos Nanaya como de 31 de enero 2015 en alrededor de 15.200 usuarios. Ha crecido un poco desde ese punto.

Los gráficos de burbujas generosamente se trazaron por Jackie Wisniewski. Traducción proporcionada por Desiree Esther Gerringer-Salazar. Histogramas y análisis se realizaron en Mathematica.