San Diego just agreed to the richest sale in baseball history.

A buyer’s memo on baseball’s record franchise sale: what San Diego’s assets are worth, where the balance sheet breaks, and how to buy a title.

A Psychonomics profile of Beyoncé — Hermann Leadership Trait Analysis, Parkwood as institutionalized self, Lemonade’s canon economics, and an 8,000-line lyric machine.

A Suzhou court awarded Louis Vuitton ¥10.3 million against Molly Tea for a four-petal logo.

A cross-medium look at how prizes turn visibility into legitimacy across film, music, and science.

What the two largest U.S.

Boston’s championship inheritance still shapes every modern season.

A geo-economics frame treats cities as layered systems of trade, culture, and infrastructure.

Dallas remains the NFL’s clearest split between global brand power and an aging postseason engine.

A cultural-economics frame treats soft-power industries as export goods.

Los Angeles turned payroll, development, and depth into recurring October access.

A three-country comparison of platforms, factories, and machinery.

Title fields, ratings, and box-office references explain how films accumulate attention.

Los Angeles basketball’s glamour machine turns market gravity into title windows.

Cross-sport rules, payroll, and scarcity show why teams become culturally meaningful.

MusicBrainz-style metadata links fame to release depth, genre travel, and reinvention.

A country-level atlas treats exports as identity: what states sell and need.

Why the two are paired in debate—and where their economic and cultural systems diverge.

Biography-scale fame data ask where collective memory clusters.

Two decades of New England football compressed a century of legacy into one dynasty.

Gutenberg metadata charts language gravity, era effects, and author memory.

Markets, leagues, and championship droughts explain why fan cultures differ by city.

A city-identity report through software exports, scarcity, and neighborhoods.

A cross-league index of championship mass, conversion, market value, and fan pain.

More than titles: New York sets the standard for droughts, payroll, and magnitude.

Carrier-level accident and fatality data ask which airlines stand out for poor safety outcomes.

Country-level consumption data map which nations drink the most per person—and how that has shifted.

Price and calorie data across pizza menus show what diners pay in money and energy.

A lyric-level comparison of two era-defining catalogs—theme, language, and structure.

Global burger prices illustrate how currency and wages shape the real cost of everyday goods.

Trip-level bike-share data measures typical distance and duration across Biketown journeys.

Since 1958, most chart-toppers lasted weeks; a few held for months—and streaming rewrote the pattern.

Large-scale Hot 100 data show how rankings compress at the summit.

Ratings and popularity across thousands of titles find games that win both mass attention and esteem.

Performance and box-office records map the shows that dominated by longevity and revenue.

Thousands of executive-exit records measure tenure length and how departures cluster.

Morphometric data map which cetacean lineages produce the giants.

A Gutenberg holiday corpus shows which seasonal novels still define the Christmas canon.

Decades of Christmas-song chart data identify the standards that return every season.

Factbook indicators compare nations on size and wealth—where scale and prosperity align or diverge.

Earnings and unemployment by major show where degrees pay off and where risk is higher.

Character attributes across Marvel and DC ask who sits atop power rankings.

Brewery-level IBU and ABV data map bitterness and strength across U.S.

Nomination and win records reveal which series swept hardware—and how concentrated awards became.

State-level activity rates compare where Americans work out most.

Menu nutrition data identify the highest-calorie items across major chains.

Survival data from the 1500s to 2015 map who gained years of life—and who lagged.

Country-level plastic generation and mismanagement rates show where leakage concentrates.

Budget and box-office data for thousands of horror titles separate winners from costly misses.

Ratings across tens of thousands of horror films ask whether quality rose with volume.

Hurricane records compare wind, deaths, and frequency for the island’s most damaging storms.

Facility-level data map which plants serve the largest populations.

Long-run imprisonment data track national trends and which states pulled away.

Glottolog family data measure how uneven language diversity is at the family level.

Official set metadata traces rising piece counts and theme differences.

Metadata from tens of thousands of Medium articles tests whether length predicts claps.

Visitation time series identify America’s busiest parks and how attendance has trended.

Engagement metrics Netflix reports show which titles absorbed the most hours.

Title-level library data track the balance of movies and TV over time.

Historical test records map yield, purpose, and timing across decades.

Restaurant grades across New York show how scores distribute by cuisine.

Data on Pixar’s canon track scores and the titles that interrupted a long critical run.

Public-domain metadata show which topics crowd the free-library canon.

Station-level format data chart where music, talk, and niche programming concentrate.

Taster scores across thousands of instant ramen products identify top brands.

Canonical rankings identify the records Rolling Stone places at the summit.

Reign-length data test whether dynastic succession meant longer time on the throne.

School-level composition data map where diversity concentrates.

Text-length analysis of Sherlock Holmes stories through Conan’s corpus.

Guest-appearance records count celebrity density across seasons.

Ad-spot data track which commercials captured attention after the whistle.

Golden-age scores compare critical and audience verdicts as prestige TV rose and cooled.

Museum locations and deprivation bands show how institutions map onto inequality.

Voting records identify resolutions that divided member states.

Doctorate output data show which disciplines grew quickest.

State tuition time series measure the rise in college costs.

Election turnout data compare state participation rates.

A large games slice tests whether critic scores correlated with commercial outcomes.

Ownership and play data identify titles that delivered the most hours relative to price.

Wealth and income shares measure how assets pile up at the upper end.

Performance metrics show speed leaders and which technical measures correlate.

A hundred thousand wine ratings test whether cost tracks scores.

UNESCO heritage counts track how Scandinavian inventories expanded.

Beyond the headline revenue figure: games, cards, merchandise, and film.

CMS HRRP data show where states, conditions, and ownership types exceed benchmarks.

A psychonomic reading of Caesar asks what ambition cost the Roman political household he ruled.

A franchise history from 1883 New York origins to a modern Bay Area ballclub.

Decades of losing before a modern dynasty remade Bay Area basketball.

Commodity and consumption data place coffee among the world’s largest traded goods.

Since 2011, Ethan and Hila Klein scaled channels, a podcast, and a brand.

A historical-economics lens asks who captured wealth when rulers claimed order.

Revenue maps for more than 100 franchises show where valuable IP earns across media.

MyAnimeList metadata on more than 13,000 titles traces Japanese animation as a output system.