How Relationships Actually Form

Western society strongly views most personal problems as individual failures rather than environmental ones. This attitude applies for rising rates of loneliness, declining civic participation, and shrinking friendship networks. People are told to improve their social skills, spend less time online, or put more effort into relationships. However, relationships do not emerge from personal effort alone. They emerge from environments that make repeated interaction possible.

Cities play a major role in determining which of these systems dominate everyday life. When social generators are scarce, distant, or expensive, substitutes fill the gap. When cities provide dense networks of accessible third places, repeated interaction becomes a natural part of daily life.

Friendship = Consistency × Low-Cost × Non-Negative Exposure × Compatibility × Overlap × Mutual Investment × Time

Environmental factors (influenced by city structure) Interpersonal factors (individual-dependent)

This equation summarizes the conditions under which friendships tend to form. Most relationships emerge gradually through repeated exposure in environments where interaction is easy and emotionally safe. When people regularly encounter the same individuals in shared activities familiarity builds over time and small interactions accumulate into meaningful relationships.

Some factors in this process are interpersonal, such as compatibility and the willingness of two people to invest in a relationship. However, many of the most important conditions are environmental. Cities determine how often people encounter one another, how expensive participation is, and whether repeated interaction happens naturally as part of everyday life.

App-Based Matching ≈ Selection × Profile Optimization × Initial Attraction

App-based systems operate under a different social model. They priortize curated profiles and immediate attraction. While these systems can efficiently connect strangers, they do not reproduce the repeated exposure and shared environments that traditionally allowed social networks and communities to form organically.

Walkable Social Density = 0.65 z(SW18_34) + 0.25 z(venues_per_sq_km) − 0.20 z(ln(population))

Walkable Social Density estimates how strongly a city's physical structure supports repeated social interaction. Cities with high concentrations of young adults and dense clusters of repeat-interaction venues create more opportunities for people to encounter one another regularly.

affordability_score = −1 × z( ln((median_gross_rent × 12) / median_household_income) )

Affordability captures whether residents can remain embedded in a city long enough for relationships to stabilize. When the cost of living is more expensive, the time and stability required for community formation become much harder to sustain.

SocialWalk Score = Walkable Social Density + (0.25 × affordability_score)

The final SocialWalk Score combines social infrastructure and economic stability. Cities that concentrate repeat-interaction venues within walking distance and allow residents to remain economically stable provide stronger conditions for long-term social connection.

Social Substitutes vs Social Generators

When environments fail to generate consistent in-person interaction people turn to social substitutes.

social substitutes are activities or systems that provide emotional comfort, but do not reliably produce new consistent social relationships.

Examples: smartphones, social media, entertainment, video games, drugs, alcohol, apps, pets, etc.

Social substitutes can partially substitute for the emotional functions of social connection without generating the repeated interpersonal exposure required for friendship formation.

Social substitutes only become unhealthy when they replace social generators. A society where the majority of people replace social generators with social substitutes is an unhealthy social ecosystem.

social generators are environments that naturally produce repeated interaction between the same people over time.

Examples: third spaces, volunteer groups, service groups, activism groups, dance groups, martial arts groups, makerspace groups, board game groups, hiking groups, fitness groups, religious groups.

These environments generate stories, shared experiences, and familiarity, which allow relationships to accumulate gradually.

A society where people can easily be apart of multiple social generators is a healthy social ecosystem.

Structured vs Unstructured Social Environments

Structured Environments are when interactions are structured around the specific event.

Examples: shows, events

Structured Environments turn Anonymity → Recognition → Familiarity

In structured environments conversations are managed.

Unstructured Environments are when interactions that don't revolve around anything specific.

Examples: hangouts, parties

Unstructured Environments turn Familiarity → Ease → Reciprocity → Warmth → Trust → Closeness → Intimacy

Since behavior is more unconscious in Unstructured Environments the conversations are not managed as much.

Most events alternate between structured and unstructured.

Examples: before meeting (unstructured), meeting (structured), after meeting (unstructured)

Consistent ease in structured environments helps build nervous system trust before moving into longer unstructured environments.

Long unstructured environments are what really get you from Closeness → Intimacy

According to the mere exposure effect, it's better to build lots of small consistent positive to neutral interactions than one big interaction.

Walkable cities don't just allow faster access to third spaces they also offer more unstructured environments meaning more chances to run into a friend!

Third Spaces

Third spaces are environments that can contain multiple social generators.

For example, a gym is not a third space if people only use the gym to workout. A library can become a third space if it hosts multiple different social events for multiple different groups.

A popular walkway, town center or town market is a perfect example of a third space.

A walkable city will have significantly more third spaces than a car-based city. This is because the walk itself becomes a third space offering so many more opportunities to interact with other people!

Third spaces allow for more unstructured environments thus allowing for more bonding and trust to form.

Third spaces are very sensitive to their population. Too small and you can't interact with enough people. Too big and you can't see the same person you previously interacted with.