Someone forwards a cheating statistic with “See, I told you” underneath. A survey result has arrived in your relationship wearing a detective’s coat.
Who cheats more, men or women? Historical US survey research found higher male reports of extramarital sex. Keep the population, period and question attached. The result is not a worldwide ranking of trustworthiness or evidence about the person beside you.
Start with the finding and its actual scope
Labrecque and Whisman’s 2017 study examined nine General Social Survey waves from 2000 to 2016. Its published abstract describes US probability samples, with past-year and lifetime extramarital sex examined among ever-married adults.
Men were more likely than women to report both. This is a historical US finding, not a current worldwide percentage.
The measured behaviour was extramarital sex, not all emotional or digital breaches. The result cannot tell you what your partner has done.
Source:Labrecque and Whisman: US survey research, published abstract (2017)
Check who was asked, what was asked and over what period
Before sharing a percentage, look for its population, exact question, time window and collection period. “Ever-married” includes a different group from “currently married”, and neither describes everyone who is dating. A lifetime question differs from one about the past year.
For a concrete example of wording, the 2006 GSS questionnaire’s EVSTRAY item asks about sex with someone other than a spouse while married. It is not an all-purpose question about secrecy, emotional involvement or whether another connection was consensually permitted. Read what the item actually asks before giving it a broader meaning.
NORC advises users to consult question wording, response codes and survey methods, and to use appropriate weights when analysing GSS data. A row of raw counts is not automatically a population estimate. This guide is explaining published findings, not presenting a new analysis of the latest data.
Source:NORC: 2006 GSS questionnaire, EVSTRAY, PDF page 132;NORC General Social Survey: wording, sampling and weights
Check what each percentage is counting
Here is an invented arithmetic example, not a research result. Imagine 100 ever-married respondents. Twenty say they had sex outside a marriage at some point, while two report it in the past year. 20% and 2% could both describe that imaginary group, because they answer different questions.
Now imagine comparing one of those figures with a survey of people recruited through an affair-seeking website. The participants and recruitment method have changed too. A larger percentage would not by itself establish that cheating increased in the general population.
When a headline reports an increase, ask whether comparable samples, questions and periods were used. If the source does not make those details clear, leave the claim unresolved. Uncertainty is a reason to check the source, not a space to fill with a story about how men or women are naturally wired.
Bring the conversation back to the commitment in your relationship
An original exchange might begin: “That article worried me. I know it cannot tell me what you have done. I want to clarify what we mean by exclusivity.” Discuss a real situation, such as pursuing dates or exchanging romantic messages, rather than asking someone to defend a whole gender.
If you know a commitment was broken, name the conduct and ask relevant questions. If you do not, keep that distinction visible. Group data should not become a reason for account searches, restrictions on friendships or demands that a partner constantly prove innocence.
You can decide whether the relationship offered suits you without a statistical prediction. The related guides explore what counts as cheating, past infidelity and practical trust. Fear, coercion or threats call for confidential specialist help rather than a shared debate over percentages.
A useful source tells you what was measured. A useful relationship conversation concerns the choices you are actually making together.
