Researchers Present the Rating of Ideal Life Partner Traits

An international research team surveyed over 10,000 respondents across 43 countries to examine how closely the ideal image of a romantic partner aligns with the actual partners people choose, and how this alignment shapes their romantic satisfaction. Based on the survey, the researchers compiled two ratings—qualities of an ideal life partner and the most valued traits in actual partners. The results have been published in the Journal of Personality and Social Psychology.
For many years, researchers have believed that satisfaction in a romantic relationship depends on how well one’s partner fits the ideal image of them, including factors such as intelligence, sense of humor, and appearance. This idea is supported by the ‘matching hypothesis.’ Scientists have repeatedly tested this theory, but results proved to be contradictory. Perhaps this is due to differences in the participants’ marital status. As a rule, the hypothesis was confirmed in studies with people in long-term relationships, but failed in experiments with participants who have not yet found a partner.
An international team of scientists from more than 40 countries, including researchers from HSE University, conducted the largest-scale verification of the matching hypothesis. The global survey involved 10,358 respondents from 43 countries, including Russia.
The researchers asked the participants to rate those traits they considered most desirable in an ideal partner and then to apply these criteria to real people they knew personally. People in a relationship described their current partner, while singles described a person with whom they would like to be in a romantic relationship.
Based on the results, the authors compiled a rating of ideal partner traits (stated preferences) and a rating of traits that influence the evaluation of a real romantic partner (revealed preferences).
It turned out that the stated and revealed preferences mostly coincided, albeit with some interesting discrepancies. For instance, such qualities as ‘confident,’ ‘a good listener,’ ‘patient,’ and ‘calm’ showed a significantly higher rating in the list of stated preferences vs revealed ones. On the other hand, such attributes as ‘attractive,’ ‘a good lover,’ ‘beautiful body,’ ‘sexy,’ and ‘smells good’ have a much higher rating among the revealed preferences. Moreover, the ‘good lover’ attribute was rated highest in terms of revealed preferences, while holding the 12th position out of 35 in terms of ideal preferences.
The researchers also looked into the differences between men and women in categories most important to people: attractiveness (the average of ‘attractive,’ ‘beautiful body,’ and ‘sexy’) and earning potential (the average of ‘ambitious,’ ‘financially secure,’ and ‘good job’). As a rule, men underestimated the importance they attached to concepts such as ‘attractiveness,’ ‘beautiful body,’ and ‘sexuality’ by about six ranks, while women underestimated these three traits by 13 ranks. As for ‘ambition,’ ‘financial security,’ and ‘good job,’ men undervalued them by an average of four ranks in their rating of ideal traits, while women, on the contrary, overvalued these traits to the same degree.

‘It turns out that both sexes underestimate the importance of attractiveness, but women much more so than men: the features they do not consider important turn out to be among the highest priorities in real life. At the same time, men underestimate—while women, on the contrary, overestimate—the importance of such qualities as ambition, financial security, and having a good job. As a result, despite the differences in the stated attitudes, in real life, men’s and women’s preferences are largely the same,’ explains Albina Gallyamova, a junior research fellow at the HSE Centre for Sociocultural Research. ‘However, the question remains: are our real preferences being adjusted due to the changing social structure, or are we actually much less different from each other in terms of basic attitudes than we think?’
The data obtained will help to better understand how people establish and maintain relationships. Therefore, the impact of perfect matching is slightly lower for long-term partners than for those seeking a relationship. ‘Our research shows that while matching one’s ideal does play a role, it should not be overestimated. People can form successful relationships with partners who do not fully meet their ideal criteria,’ Albina Gallyamova explains.
See also:
HSE Researchers Train Neural Network to Predict Protein–Protein Interactions More Accurately
Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of predicting protein–protein interactions with 95% accuracy. GSMFormer-PPI integrates three types of protein data (including information about protein surface properties) to analyse relationships between proteins, rather than simply combining datasets as in previous models. The solution could accelerate the discovery of disease molecular mechanisms, biomarkers, and potential therapeutic targets. The paper has been published in Scientific Reports.
HSE Scientists Uncover Mechanism Behind Placental Lipid Metabolism Disorders in Preeclampsia
Scientists at HSE University have discovered that in preeclampsia—one of the most severe complications of pregnancy—the placenta remodels its lipid metabolism, reducing its own cholesterol synthesis while increasing cholesterol transfer to the foetus. This compensatory mechanism helps sustain foetal nutrition but accelerates placental deterioration and may lead to preterm birth. The study findings have been published in Frontiers in Molecular Biosciences.
HSE Experts Reveal Low Accuracy of Technology Forecasts in Transportation
HSE researchers evaluated the accuracy of technology forecasts in the transportation sector over the past 50 years and found that the average accuracy rate does not exceed 25%, with the lowest accuracy observed in aviation and rail transport. According to the scientists, this is due to limitations of the forecasting method and the inherent complexities of the sector. The study findings have been published in Technological Forecasting and Social Change.
Wearable Device Data and Saliva Biomarkers Help Assess Stress Resilience
A team of scientists, including researchers from HSE University, has proposed a method for assessing stress resilience using physiological markers derived from wearable devices and saliva samples. The participants who adapted better to stress showed higher heart rate variability, higher zinc concentrations in saliva, and lower potassium levels. The findings were published in the Journal of Molecular Neuroscience.
When Circumstances Are Stronger Than Habits: How Financial Stress Affects Smoking Cessation
HSE researchers have found that the likelihood of quitting smoking rises with increasing financial struggles. While low levels of financial difficulties do not affect smoking behaviour, moderate financial stress can increase the probability of quitting by 13% to 21%. Responses to high financial stress differ by gender: men are almost 1.5 times more likely to give up cigarettes than under normal conditions, whereas no significant effect is observed on women’s decisions to quit smoking. These conclusions are based on data from the Russia Longitudinal Monitoring Survey (RLMS-HSE) for 2000–2023 and have been published in Monitoring of Public Opinion: Economic and Social Changes.
HSE Researchers Propose New Method of Verbal Fluency Analysis for Early Detection of Cognitive Impairment
Researchers from the HSE Center for Language and Brain and the Mental Health Research Centre have proposed a new method of linguistic analysis that enables the distinction between normal and pathological ageing. Using this approach, they showed that patterns in patients’ word choices during verbal fluency tests allow clinicians to more accurately differentiate clinically significant impairments from subjective memory complaints. Incorporating this type of analysis into clinical practice could improve the accuracy of early dementia diagnosis. The results have been published in Applied Neuropsychology: Adult.
How the Brain Processes a Word: HSE Researchers Compare Reading Routes in Adults and Children
Researchers from the HSE Center for Language and Brain used magnetoencephalography to study how the brains of adults and children respond to words during reading. They showed that in children the brain takes longer to process words that are frequently used in everyday speech, while rare words and pseudowords are processed in the same way—slowly and in parts. With age, the system is reorganised: high-frequency words shift to a fast route, whereas new letter combinations are still analysed slowly. The study was published in the journal Psychophysiology.
How Neural Networks Detect and Interpret Wordplay: New Insights from HSE Researchers
An international team including researchers from the HSE Faculty of Computer Science has presented KoWit-24, an annotated dataset of 2,700 Russian-language Kommersant news headlines containing wordplay. The dataset enables an assessment of how artificial intelligence detects and interprets wordplay. Experiments with five large language models show that even advanced systems still make mistakes, and that interpreting wordplay is more challenging for them than detecting it. The results were presented at the RANLP conference; the paper is available on Arxiv.org, and the dataset and the code for reproducing the experiments are available on GitHub.
HSE Economists Find That Auction Prices Depend on Artist’s Life Story
Researchers from the Centre for Big Data in Economics and Finance at the HSE Faculty of Economic Sciences have found that facts from an artist’s life are statistically significant in pricing a painting, alongside such traditional characteristics as the material, the size of the canvas, or the presence of the artist’s signature. This conclusion is based on an analysis of prices for 15,000 works by 158 artists sold since 1999 by the major auction houses Sotheby’s and Christie’s. The article has been published in the journal Empirical Studies of the Arts.
HSE Physicists Propose Unified Theory for Describing Electric Double Layer
To develop more efficient batteries and catalysts, it is essential to understand the processes occurring at the metal–solution interface in the electric double layer (EDL). Physicists at HSE MIEM have proposed a unified theoretical model of the EDL that simultaneously accounts for selective adsorption of ions on the surface and partial charge transfer between ions and the metal—phenomena that had previously been described separately. The model’s predictions are consistent with experimental data. In the future, it may be used in the development of batteries, supercapacitors, and catalysts. The study has been published in Electrochimica Acta.


