popularity crowdedness prices
Popularity and crowd
Are always loss maker
How? Why??? When??? After what idea???
When we look at our prices of any goods or services then we see there is always two kinds of prices (as per Sanjoy Nath 's qhenomenology which considers every dictionary word as evolved concepts and qhenomenological ordering of all these dictionary words are following a sequence of humans concept formation from 660000 years back to now such that following words concepts are strictly linearly dependent on previous entries in qhenomenological dictionary. This means qhenomenological dictionary entries rearranges all dictionary words such that the new orders of words are not in alphabetical order instead these words are arranged in descending order of presence of the word in whole dictionary text. This means if any word w_k is present with frequency f_k in whole dictionary in all entries substring or in all meaning text substring then for every occurrance of w _k as substring will increase frequency f_k +1 (this is most basic algorithm to find qhenomenological dependency of word w_k as per qhenomenological ordering type 0) type 1 ordering is more deeper where recursive (recursive (recursive......token dependency checking is done one meaning of meaning of meaning of...... Chains of dependency of a substring within whole dictionary n deep recursive Cross reference to count for f_k number for every words))) in this way we analysis any kind of valuation of things/concepts/objects/ideas/services concepts/dependency factor for everything for everyone
Example
If idea of fire is not there in world
Idea of fire cooking cannot evolve
If idea of time is not there
Idea of interest rate cannot come to humans mind
Type 1 price
Price of the same goods or services when human was hunter gatherer and human's group sizes was less than 20 or when the concept of morality was not existing
Type 2 price
Price of that same thing when humans groups sizes increased to more than 20000 and when the goods or services becomes popular or crowd dependency increased for its demand and supply
Several of products and services are standing on purely popularness or crowdedness
Here are 30 examples where popularity (Type 2 price) or crowdedness significantly influences the price of goods and services.
Examples where Popularity governed Causes Price (Type 2 Price)
1. Celebrity-Endorsed Fashion
A simple t-shirt can cost $10, but if a celebrity wears it, it becomes a $500 brand.
2. Luxury Handbags (e.g., Gucci, Louis Vuitton)
The material cost is much lower than the price, but popularity raises the price.
3. NFTs (Non-Fungible Tokens)
Digital images have zero material cost but can sell for millions due to hype.
4. Designer Sneakers (e.g., Air Jordans, Yeezys)
Popularity among collectors drives up prices.
5. Concert Tickets
The same artist's ticket costs $50 in a small venue but $500 in a sold-out stadium.
6. Influencer-Endorsed Supplements
Generic supplements are cheap, but influencer-backed ones have a premium price.
7. Luxury Watches (e.g., Rolex, Patek Philippe)
Popularity makes them more expensive, not just material costs.
8. Limited Edition Gaming Consoles – A regular PS5 costs $500, but a special edition version costs $1500.
9. Social Media Advertising (e.g., YouTube, Instagram Ads)
Popularity raises the cost per click (CPC) for ads.
10. Exclusive Wine & Whiskey Bottles
A rare brand may sell for 1000x its actual production cost.
11. Luxury Real Estate (e.g., Beverly Hills, Monaco)
The same house costs 10x more in a famous location.
12. Designer Sunglasses (e.g., Ray-Ban, Oakley)
Branding makes the price skyrocket beyond material cost.
13. Limited Edition Sports Jerseys
A normal jersey costs $20, but a popular player's signed one costs thousands.
14. Prestigious University Degrees
Harvard charges hundreds of thousands due to its name, not just education quality.
15. High-End Restaurants (e.g., Michelin-starred dining)
Food in a 5-star restaurant costs 10x more than a street vendor.
Examples where Crowdedness governed Causes Price (Type 2 Price)
16. Airline Ticket Prices
Prices surge when demand is high, such as during festivals or holidays.
17. Hotel Prices in Tourist Areas
A regular hotel room costs $50, but during peak season, the price can be $500.
18. Public Transport (e.g., Uber Surge Pricing)
Rides become expensive when more people are booking at the same time.
19. Parking Fees in Big Cities
In crowded areas, parking fees are much higher than in less crowded places.
20. Real Estate in Metropolitan Cities
Land prices increase as city populations grow.
21. College Tuition Fees
The more students applying, the higher the tuition fees in demand-driven institutions.
22. Subscription Services (e.g., Netflix, Disney+) As demand rises, subscription prices increase over time.
23. Festival/Event Tickets A ticket to a crowded music festival is much more expensive than a local concert.
24. Electricity Bills in Urban Areas Higher population density increases demand, making electricity costlier.
25. Food Delivery Services – Food delivery prices rise when there’s high demand in an area.
26. Water Prices in Drought-Prone Cities
A crowded city's water costs more due to scarcity.
27. Internet Plans in Highly Populated Areas
Providers charge more in urban areas where demand is high.
28. Public Gym Memberships – A gym in a crowded city charges more due to higher demand.
29. Beach Resort Prices During Summer – More people visiting increases room rates.
30. Amusement Park Ticket Prices – During peak seasons, ticket prices are significantly higher than in off-peak times.
These simple sample cases of 30 cases prove that price formation is not a fundamental property of an object/service itself but a function of its human consumption dynamics—either popularity-based (branding, social influence) or crowd-based (demand-supply imbalances).
Now, let's analyze why popularity and crowding are always loss-makers despite their role in price formation.
Why Popularity and Crowding Lead to Losses? And what kinds of categories of losses that can occur???
Both popularity-based pricing and crowd-based pricing create artificial inflation, which leads to inevitable economic inefficiencies and losses in multiple ways which we will examine
1. Popularity Creates Speculative Bubbles (Economic Loss)
Example here is NFTs, luxury brands, and influencer-backed products.
Problem here is Popularity causes prices to skyrocket beyond their real utility value. When the trend fades, the market crashes, leaving investors and buyers at a loss.
2. Crowding Causes Scarcity-Driven Inflation (Social Loss)
Example here is Airline ticket prices surge during peak times, urban rent skyrockets.Problem here is Increased demand without proportional supply growth leads to inflated costs, making essential goods and services unaffordable for many.
3. Inevitable Decline of Hype (Market Instability)
Example here is Fidget spinners were once a global sensation but are now nearly worthless.
Problem here is Goods and services reliant on hype experience temporary surges, but once popularity fades, businesses collapse.
4. Overproduction and Waste (Environmental Loss)
Example here is Fast fashion creates excessive production due to short-term popularity.
Problem here is When demand declines, unsold inventory leads to waste and pollution.
5. Increased Inequality (Economic Loss)
Example here is Expensive universities or real estate in famous locations.Problem here is Artificially high costs prevent access for lower-income individuals, deepening social inequality.
6. Quality Reduction Due to Mass Production (Consumer Loss)
Example here is Popular food chains (e.g., McDonald's) often prioritize mass production over quality.
Problem here is High demand forces businesses to compromise on quality, leading to inferior products.
7. Psychological Manipulation (Emotional Loss)
Example here is Limited edition sales create urgency to buy unnecessary items.Problem here is Consumers spend irrationally due to FOMO (Fear of Missing Out) and later regret purchases.
8. Declining Uniqueness (Cultural Loss)
Example here is Globalization of fashion and food reduces diversity.Problem here is Authentic, locally unique products disappear due to mass-market demand.Popularity and crowding artificially increase prices, create market instability, and lead to financial, social, and environmental losses. What seems like economic gain at first often turns into an unsustainable cycle of inflation, crashes, and waste.
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