The death of intentional dating: How strategic ambiguity became the default
It starts the same way every time. A match. A few days of easy conversation. Then the question, delivered with the casual weightlessness of someone ordering coffee: "So, what are you looking for here?" She has learned to pause before answering. If she says "something serious", she risks scaring him off. If she says "casual", she risks being treated as disposable. If she says "I don't know", she lies. So she says something carefully hedged: "Open to whatever feels right." She has just performed strategic ambiguity to avoid being penalised for honesty.
The man on the other side of the screen has no such calculation. He says "let's see where things go" and means it exactly as stated: he will see where things go, with her, and with the family-arranged candidates his mother is curating and with the other matches in his queue.
In 1962, mathematicians Gale and Shapley solved the stable matching problem. Their algorithm guaranteed a stable outcome when participants are assumed to state their preferences honestly, a condition that later game-theoretic analysis formalised as a necessary input, though the 1962 paper itself focuses on proving stability rather than specifying preference-elicitation requirements [1]. Modern dating violates every assumption the algorithm requires. Preferences are rarely stated honestly. "Looking for something serious" is a positioning choice to maximise matches, not a declaration of intent. "Open to where things go" is not a preference at all, it is the deliberate withholding of one.
Strategic ambiguity, the "let's see where things go" vagueness that has become the default mode of urban Indian dating, is not confusion. It is not emotional unavailability. It is a rational strategy for navigating a system that rewards flexibility and penalises commitment. And it is affecting intentional dating.
The algorithm and the honest preference
The stable matching problem goes as follows: how do you pair two groups so that no pair of people would both prefer each other over their current matches [1]? The deferred acceptance algorithm guaranteed a stable outcome. The elegance of the Gale–Shapley algorithm depends entirely on one idealisation: that participants honestly state their preferences. If everyone ranks their options truthfully, the algorithm finds the best stable match for everyone. It is a mathematical proof of what most people intuitively want from dating: a system that produces genuine, mutual outcomes.
Modern dating operates under conditions that violate assumptions the algorithm requires. The algorithm breaks because one party is consistently operating on fabricated inputs. Research on online dating confirms this gap. Dating platforms are effective at what they were designed to do: matching people based on similarity and proximity. But they are systematically poor at producing relational success, the communication, conflict resolution and mutual commitment that make relationships last [2]. The platform's job ends at the match.
The asymmetry that explains everything
Before examining how strategic ambiguity works, it is worth sitting with a single statistic. A pan-India survey of 3,400 urban singles conducted by the dating platform Aisle found that 97% of women across generations prefer commitment over casual dating. Among men, that figure was between 80-87%, depending on age group [3]. These figures are drawn from Aisle’s proprietary platform report and should be read as indicative rather than representative: users of a relationship-focused app are self-selected toward commitment, which likely inflates both figures relative to the broader urban singles population. Nearly ten percentage points separate what women are on apps to find from what men report wanting. This gap is significant and represents the structural condition that makes strategic ambiguity rational for one party and costly for the other.
A separate platform, Rebounce, reports a similar asymmetry: 64.6% of female users state they are looking for marriage, compared to 53% of male users [4]. This data comes directly from Rebounce’s internal user statistics and has not been independently verified; no methodology or sample size is publicly disclosed. The pattern holds across platforms and age groups. Women want clarity, resolution and direction. This structural dating app preference asymmetry makes vagueness a rational response to mismatched goals in a market with no penalty for delay.
The vagueness trap: How strategic ambiguity functions
The signature phrase of this arrangement is familiar to every woman who has spent time on Indian dating apps. “Not looking for anything specific, Open to whatever happens, Let's see where things go, I'm figuring out my relationship goals, I don't want to put pressure on anything”. These phrases are not communication failures. They are not shy. They are not gentle non-commitment from someone who might, with enough patience, come around.
They are strategic ambiguity deployed to preserve flexibility. Research on romantic uncertainty in dating app contexts finds that ambiguous signals function as holding patterns; users facing unclear relational outcomes systematically prefer exit decisions rather than acting on incomplete information [5]. A person facing an ambiguous situation, “Is he interested? Will he commit? Should I stay or go?”, will typically choose inaction because staying feels less risky than leaving. Leaving produces unknown outcomes. Staying, however unsatisfying, produces known discomfort.
Ambiguous loss: Why she cannot grieve what was never named
There is a psychological framework that explains what happens when a relationship ends without ending, and when grief has no ritual to contain it. That framework is ambiguous loss theory, and it is the missing piece in understanding why women remain trapped after the arrangement fades.
Research applying ambiguous loss theory to dating finds that the "lack of clear information as to whether an anticipated partner, who is psychologically present yet physically absent, will materialise at some point" creates "ambivalence about holding on to the prospect that the anticipated spouse will materialise versus moving on through accepting and grieving the loss" [6]. The woman cannot decide whether to keep hoping or to give up, because the man refuses to give her the information she needs.
One of key insights is that rituals matter. Human beings need rituals to mark endings, funerals, memorials, even a simple conversation, because rituals tell our brains that something is finished. When an ambiguous arrangement ends, there are no rituals. The woman is left with a loss she cannot name, and therefore cannot fully grieve [6].
This is grief without social recognition mourning that no cultural script acknowledges as legitimate [7]. When a woman loses a spouse to death, her community rallies around her. When she loses a situationship to ambiguity, the response is often dismissive: "But you weren't even together." She learns to hide her grief, to perform being fine, because admitting that it mattered would invite dismissal [7].
The man, meanwhile, maintains plausible deniability. Because there was no formal relationship, no formal ending, he can tell himself it just "fizzled out" as a mutual fading, no one's fault. The ambiguity that protected his flexibility also protects him from accountability.
The honest bio revolution: Gen Z's rejection of ambiguity
Not everyone is playing the ambiguity game. A quiet revolution is visible in the dating profile itself. A shift toward a more intentional dating app culture is underway: 57% of daters aged 24–35 say they are not using apps for "timepass" but to explore genuine connections. The bios have changed. Instead of "here for a good time," they now read: "Dating with purpose," "Looking for something meaningful," and "Still figuring things out, but open to connection" [8].
36% of users aged 20-30 now openly address unresolved personal issues or emotional concerns in their profiles. Instead of witty taglines designed to attract attention, they offer straightforward reflections on readiness and expectations [8].
Ravi Mittal, Founder and CEO of QuackQuack, observes: "Dating apps are increasingly turning into a safe space where young users not only find their perfect partner but also find themselves. They are far more self-aware now and express their emotional and relationship needs early, sometimes clearly mentioning them in their bios" [8].
Another report found that 60% of respondents feel tired of swipe-led dating platforms, describing the experience as repetitive and superficial [9]. The rejection of ambiguity is not wishful thinking. It is a documented shift.
What intentional dating would require
The death of intentional dating is not inevitable. It is a design choice. And like any design choice, it can be unmade. Intentional dating would require three things that currently do not exist in the Indian dating app ecosystem.
First, it would require “consequence architectures” that make strategic ambiguity expensive. A man who marks "long-term relationship" in his preferences but whose behaviour consistently indicates otherwise should face some accountability mechanism, for the gap between stated intent and actual behaviour that currently imposes costs on the women who match with him in good faith.
Second, it would require a “cultural shift in how ambiguity is interpreted”. Vague intentions should not be read as openness. They should be read as what they are: a refusal to offer clarity, which is itself a form of answer.
The data suggests younger users are already moving in this direction. A Hinge D.A.T.E. report found that 84% of Gen Z want to build deeper connections [10]. A Forbes Health survey found that 52% of Gen Z (vs. 49% of Millennials) report long-term connection as their goal [11]. The desire for intentionality exists. The infrastructure has to catch up to support it.
Third, it would require women to stop absorbing the cost of men's ambivalence. This is the hardest one, because the cost is not evenly distributed. The woman who walks away loses time, emotional investment and the opportunity cost of not having been elsewhere. The man who walked away loses, what exactly? An option he was not sure he wanted. The asymmetry is baked into the structure. Undoing it would require women to systematically refuse the terms of engagement that currently govern heterosexual dating: availability without clarity.
The reframe
Strategic ambiguity is a rational adaptation to a system that rewards flexibility and penalises commitment, that gives men all the benefits of intimacy without any of the accountability, that asks women to perform availability without clarity, yet blames them when the accumulated weight of that arrangement becomes too heavy to carry.
The death of intentional dating is not a tragedy. It is a predictable outcome of a system designed to produce exactly this result. The question is not whether women can learn to navigate it better. They already navigate it with remarkable sophistication, building safety infrastructure, sharing red-flag typologies, cross-referencing LinkedIn profiles, delaying WhatsApp migrations, performing the cognitive labour that the platforms should have built into their architecture. The question is whether the system will be allowed to continue to transfer its costs to the people least able to refuse them.
References:
1. Gale D, Shapley LS. College admissions and the stability of marriage. Am Math Monthly. 1962;69(1):9–15.
2. Finkel EJ, Eastwick PW, Karney BR, Reis HT, Sprecher S. Online dating: a critical analysis from the perspective of psychological science. Psychol Sci Public Interest. 2012;13(1):3–66.
3. Aisle. The State of Dating in India Report. 2025. [Proprietary platform data; self-selected sample. Figures are indicative, not population-representative.]
4. Rebounce platform data. User preference statistics. 2025. [Internal platform data; methodology and sample size not publicly disclosed.]
5. Portolan L, McAlister J. Jagged love: narratives of romance on dating apps during COVID-19. Sex Cult. 2022;26:354–372.
6. Jackson JB. The ambiguous loss of singlehood: conceptualising and treating the never-married. Contemp Fam Ther. 2018;40(2):137–146.
7. Boss P. Ambiguous Loss: Learning to Live with Unresolved Grief. Harvard University Press; 1999.
8. News18. Honest bios, clear intent and real chemistry: the dating checklist update Gen Z is setting in 2026. March 2026. [Statistics sourced from QuackQuack platform data; primary methodology not disclosed.]
9. The Report Cube. India Dating App Market Report 2025–2034. [Commercial report; methodology and sample size not publicly available.]
10. Hinge. D.A.T.E. Report. 2025. [Platform-published; sample drawn from Hinge users, self-selected toward relationship-seeking.]
11. Forbes Health Survey. Dating trends across generations. 2025.
The death of intentional dating: How strategic ambiguity became the default
It starts the same way every time. A match. A few days of easy conversation. Then the question, delivered with the casual weightlessness of someone ordering coffee: "So, what are you looking for here?" She has learned to pause before answering. If she says "something serious", she risks scaring him off. If she says "casual", she risks being treated as disposable. If she says "I don't know", she lies. So she says something carefully hedged: "Open to whatever feels right." She has just performed strategic ambiguity to avoid being penalised for honesty.
The man on the other side of the screen has no such calculation. He says "let's see where things go" and means it exactly as stated: he will see where things go, with her, and with the family-arranged candidates his mother is curating and with the other matches in his queue.
In 1962, mathematicians Gale and Shapley solved the stable matching problem. Their algorithm guaranteed a stable outcome when participants are assumed to state their preferences honestly, a condition that later game-theoretic analysis formalised as a necessary input, though the 1962 paper itself focuses on proving stability rather than specifying preference-elicitation requirements [1]. Modern dating violates every assumption the algorithm requires. Preferences are rarely stated honestly. "Looking for something serious" is a positioning choice to maximise matches, not a declaration of intent. "Open to where things go" is not a preference at all, it is the deliberate withholding of one.
Strategic ambiguity, the "let's see where things go" vagueness that has become the default mode of urban Indian dating, is not confusion. It is not emotional unavailability. It is a rational strategy for navigating a system that rewards flexibility and penalises commitment. And it is affecting intentional dating.
The algorithm and the honest preference
The stable matching problem goes as follows: how do you pair two groups so that no pair of people would both prefer each other over their current matches [1]? The deferred acceptance algorithm guaranteed a stable outcome. The elegance of the Gale–Shapley algorithm depends entirely on one idealisation: that participants honestly state their preferences. If everyone ranks their options truthfully, the algorithm finds the best stable match for everyone. It is a mathematical proof of what most people intuitively want from dating: a system that produces genuine, mutual outcomes.
Modern dating operates under conditions that violate assumptions the algorithm requires. The algorithm breaks because one party is consistently operating on fabricated inputs. Research on online dating confirms this gap. Dating platforms are effective at what they were designed to do: matching people based on similarity and proximity. But they are systematically poor at producing relational success, the communication, conflict resolution and mutual commitment that make relationships last [2]. The platform's job ends at the match.
The asymmetry that explains everything
Before examining how strategic ambiguity works, it is worth sitting with a single statistic. A pan-India survey of 3,400 urban singles conducted by the dating platform Aisle found that 97% of women across generations prefer commitment over casual dating. Among men, that figure was between 80-87%, depending on age group [3]. These figures are drawn from Aisle’s proprietary platform report and should be read as indicative rather than representative: users of a relationship-focused app are self-selected toward commitment, which likely inflates both figures relative to the broader urban singles population. Nearly ten percentage points separate what women are on apps to find from what men report wanting. This gap is significant and represents the structural condition that makes strategic ambiguity rational for one party and costly for the other.
A separate platform, Rebounce, reports a similar asymmetry: 64.6% of female users state they are looking for marriage, compared to 53% of male users [4]. This data comes directly from Rebounce’s internal user statistics and has not been independently verified; no methodology or sample size is publicly disclosed. The pattern holds across platforms and age groups. Women want clarity, resolution and direction. This structural dating app preference asymmetry makes vagueness a rational response to mismatched goals in a market with no penalty for delay.
The vagueness trap: How strategic ambiguity functions
The signature phrase of this arrangement is familiar to every woman who has spent time on Indian dating apps. “Not looking for anything specific, Open to whatever happens, Let's see where things go, I'm figuring out my relationship goals, I don't want to put pressure on anything”. These phrases are not communication failures. They are not shy. They are not gentle non-commitment from someone who might, with enough patience, come around.
They are strategic ambiguity deployed to preserve flexibility. Research on romantic uncertainty in dating app contexts finds that ambiguous signals function as holding patterns; users facing unclear relational outcomes systematically prefer exit decisions rather than acting on incomplete information [5]. A person facing an ambiguous situation, “Is he interested? Will he commit? Should I stay or go?”, will typically choose inaction because staying feels less risky than leaving. Leaving produces unknown outcomes. Staying, however unsatisfying, produces known discomfort.
Ambiguous loss: Why she cannot grieve what was never named
There is a psychological framework that explains what happens when a relationship ends without ending, and when grief has no ritual to contain it. That framework is ambiguous loss theory, and it is the missing piece in understanding why women remain trapped after the arrangement fades.
Research applying ambiguous loss theory to dating finds that the "lack of clear information as to whether an anticipated partner, who is psychologically present yet physically absent, will materialise at some point" creates "ambivalence about holding on to the prospect that the anticipated spouse will materialise versus moving on through accepting and grieving the loss" [6]. The woman cannot decide whether to keep hoping or to give up, because the man refuses to give her the information she needs.
One of key insights is that rituals matter. Human beings need rituals to mark endings, funerals, memorials, even a simple conversation, because rituals tell our brains that something is finished. When an ambiguous arrangement ends, there are no rituals. The woman is left with a loss she cannot name, and therefore cannot fully grieve [6].
This is grief without social recognition mourning that no cultural script acknowledges as legitimate [7]. When a woman loses a spouse to death, her community rallies around her. When she loses a situationship to ambiguity, the response is often dismissive: "But you weren't even together." She learns to hide her grief, to perform being fine, because admitting that it mattered would invite dismissal [7].
The man, meanwhile, maintains plausible deniability. Because there was no formal relationship, no formal ending, he can tell himself it just "fizzled out" as a mutual fading, no one's fault. The ambiguity that protected his flexibility also protects him from accountability.
The honest bio revolution: Gen Z's rejection of ambiguity
Not everyone is playing the ambiguity game. A quiet revolution is visible in the dating profile itself. A shift toward a more intentional dating app culture is underway: 57% of daters aged 24–35 say they are not using apps for "timepass" but to explore genuine connections. The bios have changed. Instead of "here for a good time," they now read: "Dating with purpose," "Looking for something meaningful," and "Still figuring things out, but open to connection" [8].
36% of users aged 20-30 now openly address unresolved personal issues or emotional concerns in their profiles. Instead of witty taglines designed to attract attention, they offer straightforward reflections on readiness and expectations [8].
Ravi Mittal, Founder and CEO of QuackQuack, observes: "Dating apps are increasingly turning into a safe space where young users not only find their perfect partner but also find themselves. They are far more self-aware now and express their emotional and relationship needs early, sometimes clearly mentioning them in their bios" [8].
Another report found that 60% of respondents feel tired of swipe-led dating platforms, describing the experience as repetitive and superficial [9]. The rejection of ambiguity is not wishful thinking. It is a documented shift.
What intentional dating would require
The death of intentional dating is not inevitable. It is a design choice. And like any design choice, it can be unmade. Intentional dating would require three things that currently do not exist in the Indian dating app ecosystem.
First, it would require “consequence architectures” that make strategic ambiguity expensive. A man who marks "long-term relationship" in his preferences but whose behaviour consistently indicates otherwise should face some accountability mechanism, for the gap between stated intent and actual behaviour that currently imposes costs on the women who match with him in good faith.
Second, it would require a “cultural shift in how ambiguity is interpreted”. Vague intentions should not be read as openness. They should be read as what they are: a refusal to offer clarity, which is itself a form of answer.
The data suggests younger users are already moving in this direction. A Hinge D.A.T.E. report found that 84% of Gen Z want to build deeper connections [10]. A Forbes Health survey found that 52% of Gen Z (vs. 49% of Millennials) report long-term connection as their goal [11]. The desire for intentionality exists. The infrastructure has to catch up to support it.
Third, it would require women to stop absorbing the cost of men's ambivalence. This is the hardest one, because the cost is not evenly distributed. The woman who walks away loses time, emotional investment and the opportunity cost of not having been elsewhere. The man who walked away loses, what exactly? An option he was not sure he wanted. The asymmetry is baked into the structure. Undoing it would require women to systematically refuse the terms of engagement that currently govern heterosexual dating: availability without clarity.
The reframe
Strategic ambiguity is a rational adaptation to a system that rewards flexibility and penalises commitment, that gives men all the benefits of intimacy without any of the accountability, that asks women to perform availability without clarity, yet blames them when the accumulated weight of that arrangement becomes too heavy to carry.
The death of intentional dating is not a tragedy. It is a predictable outcome of a system designed to produce exactly this result. The question is not whether women can learn to navigate it better. They already navigate it with remarkable sophistication, building safety infrastructure, sharing red-flag typologies, cross-referencing LinkedIn profiles, delaying WhatsApp migrations, performing the cognitive labour that the platforms should have built into their architecture. The question is whether the system will be allowed to continue to transfer its costs to the people least able to refuse them.
References:
1. Gale D, Shapley LS. College admissions and the stability of marriage. Am Math Monthly. 1962;69(1):9–15.
2. Finkel EJ, Eastwick PW, Karney BR, Reis HT, Sprecher S. Online dating: a critical analysis from the perspective of psychological science. Psychol Sci Public Interest. 2012;13(1):3–66.
3. Aisle. The State of Dating in India Report. 2025. [Proprietary platform data; self-selected sample. Figures are indicative, not population-representative.]
4. Rebounce platform data. User preference statistics. 2025. [Internal platform data; methodology and sample size not publicly disclosed.]
5. Portolan L, McAlister J. Jagged love: narratives of romance on dating apps during COVID-19. Sex Cult. 2022;26:354–372.
6. Jackson JB. The ambiguous loss of singlehood: conceptualising and treating the never-married. Contemp Fam Ther. 2018;40(2):137–146.
7. Boss P. Ambiguous Loss: Learning to Live with Unresolved Grief. Harvard University Press; 1999.
8. News18. Honest bios, clear intent and real chemistry: the dating checklist update Gen Z is setting in 2026. March 2026. [Statistics sourced from QuackQuack platform data; primary methodology not disclosed.]
9. The Report Cube. India Dating App Market Report 2025–2034. [Commercial report; methodology and sample size not publicly available.]
10. Hinge. D.A.T.E. Report. 2025. [Platform-published; sample drawn from Hinge users, self-selected toward relationship-seeking.]
11. Forbes Health Survey. Dating trends across generations. 2025.
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