What Singapore Googled, year by year

"""check_page_facts.py - holds the ten lists exactly as typed from Google's pages and recounts every number the page prints.
Run:  python3 -I check_page_facts.py     (standard library only; stops with an error if a count differs)"""
S = "Sport"
LISTS = {
    2016: [("Euro 2016", "Sport"), ("Pokemon Go", "Apps and games"), ("US Elections", "News and world"), ("Joseph Schooling", "Sport"), ("iPhone 7", "Phones"), ("Descendants of the Sun", "Film, TV and music"), ("Brexit", "News and world"), ("Donald Trump", "News and world"), ("ezbuy", "Shopping"), ("Deadpool", "Film, TV and music")],
    2017: [("Sgpokemap", "Apps and games"), ("iPhone 8", "Phones"), ("iPhone X", "Phones"), ("Wonder Woman", "Film, TV and music"), ("Beauty and the Beast", "Film, TV and music"), ("Wimbledon", "Sport"), ("SEA Games", "Sport"), ("Justice League", "Film, TV and music"), ("Lazada Singapore", "Shopping"), ("ezbuy", "Shopping")],
    2018: [("World Cup", "Sport"), ("Malaysia Elections", "News and world"), ("Australian Open 2018", "Sport"), ("Najib Razak", "News and world"), ("Stan Lee", "Film, TV and music"), ("Thai cave rescue", "News and world"), ("Black Panther", "Film, TV and music"), ("Trump-Kim Summit", "News and world"), ("Meghan Markle", "News and world"), ("Avengers: Infinity War", "Film, TV and music")],
    2019: [("Singapore Haze", "News and world"), ("Hong Kong Protests", "News and world"), ("Avengers Endgame", "Film, TV and music"), ("Captain Marvel", "Film, TV and music"), ("iPhone 11", "Phones"), ("ICC World Cup 2019", "Sport"), ("Fall of the Berlin Wall", "News and world"), ("Wimbledon 2019", "Sport"), ("Joker", "Film, TV and music"), ("Australian Open", "Sport")],
    2020: [("US Election 2020", "News and world"), ("Student Learning Space (SLS)", "Apps and games"), ("Coronavirus", "Health"), ("Google Classroom", "Apps and games"), ("Zoom", "Apps and games"), ("NBA", "Sport"), ("Google Meet", "Apps and games"), ("Joe Biden", "News and world"), ("Kobe Bryant", "Sport"), ("English Premier League", "Sport")],
    2021: [("UEFA Euro 2021", "Sport"), ("NBA League", "Sport"), ("IPL 2021", "Sport"), ("English Premier League", "Sport"), ("Squid Game", "Film, TV and music"), ("2020 Tokyo Olympic Games", "Sport"), ("COVID-19 Prevention", "Health"), ("Bitcoin Price", "Money and vouchers"), ("iPhone 13", "Phones"), ("Shang-Chi and the Legend of the Ten Rings", "Film, TV and music")],
    2022: [("Wordle", "Apps and games"), ("Ukraine", "News and world"), ("Causeway Link", "Travel"), ("Queen Elizabeth", "News and world"), ("Australian Open", "Sport"), ("iPhone 14", "Phones"), ("Shinzo Abe", "News and world"), ("COVID-19 Cases Singapore", "Health"), ("GST Voucher 2022", "Money and vouchers"), ("Thor Love and Thunder", "Film, TV and music")],
    2024: [("UEFA Euro 2024", "Sport"), ("US Elections 2024", "News and world"), ("Olympics 2024", "Sport"), ("Taylor Swift", "Film, TV and music"), ("CDC Vouchers", "Money and vouchers"), ("How to make millions before Grandma dies", "Film, TV and music"), ("Copa America", "Sport"), ("AFC Asian Cup", "Sport"), ("Liam Payne", "Film, TV and music"), ("Labubu", "Shopping")],
    2025: [("DeepSeek", "Apps and games"), ("Charlie Kirk", "News and world"), ("Mortgage quote", "Money and vouchers"), ("COPD treatment", "Health"), ("Osteoporosis treatment", "Health"), ("SG60 voucher", "Money and vouchers"), ("iPhone 17", "Phones"), ("Barbie Hsu", "Film, TV and music"), ("Donald Trump", "News and world"), ("Asia Cup 2025", "Sport")],
}
FOOT = {"Euro 2016", "World Cup", "UEFA Euro 2021", "UEFA Euro 2024"}   # football tournaments that were #1
years = sorted(LISTS)                       # the 9 years with a list (2023 has none)
assert len(years) == 9 and all(len(v) == 10 for v in LISTS.values())
sport = {y: sum(1 for n, c in v if c == S) for y, v in LISTS.items()}
print("entries", sum(len(v) for v in LISTS.values()))
print("sport in every listed year:", all(sport[y] > 0 for y in years), sport)
print("football tournament at #1:", [y for y in years if LISTS[y][0][0] in FOOT])
print("an iPhone in the top 10:", [y for y in years if any(n.startswith("iPhone") for n, c in LISTS[y])])
print("a US election:", [y for y in years if any(n.startswith("US Election") for n, c in LISTS[y])])
print("a voucher:", [y for y in years if any("oucher" in n for n, c in LISTS[y])])
by_type = {}
for v in LISTS.values():
    for n, c in v:
        by_type[c] = by_type.get(c, 0) + 1
print("by type:", dict(sorted(by_type.items(), key=lambda kv: -kv[1])))