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WikiCards · Card list · Science cards · David Card
Uncommon card · Science
David Card, an Uncommon card
David Edward Card is a Canadian-American labour economist and the Class of 1950 Professor of Economics at the University of California, Berkeley, where he has been since 1997.
- Rarity
- Uncommon
- Domain
- Science
- ATK
- 69
- DEF
- 54
- Power
- 123
- Wikipedia reads a year
- 20,000
Power 123 (ATK + DEF): stronger than 60 % of WikiCards cards.
The facts on the card
The card carries these facts from its Wikipedia article.
- He was awarded half of the 2021 Nobel Memorial Prize in Economic Sciences "for his empirical contributions to labour economics", with Joshua Angrist and Guido Imbens jointly awarded the other half.
Why it is Uncommon
Rarity in WikiCards follows a year of Wikipedia page views: the most read articles become Epic and Legendary cards. The David Card article was read about 20,000 times in a year. ATK comes from the length of the article and DEF from its quality, so this card hits with 69 and blocks with 54: each hit it takes is cut by 22 %.
How to get David Card
Open packs. Each pack holds five cards drawn from real Wikipedia articles, the rarest last, and the fifth card is always Rare or better. The odds are shown in the game. A free pack arrives every hour and two can wait, and the Coins you win in duels buy more packs.
More Science cards
Cards close in power
The cards just above and just below David Card in the power ranking, all domains together.
- Bill ReidUncommon · Arts · ATK 64 DEF 59
- CabramattaUncommon · Society · ATK 65 DEF 58
- Captain DisillusionUncommon · Arts · ATK 68 DEF 55
- History of Saint PetersburgUncommon · History · ATK 71 DEF 52
- Hubble sequenceUncommon · Science · ATK 67 DEF 56
- Joseph BlackUncommon · Science · ATK 66 DEF 57
Card lists
- Wikipedia quizNew questions every day
- All cards from A to ZEvery card, by name
- Science cards
- Legendary cards
- Tier listS and A tiers by power (ATK + DEF)
Credits
Text : Wikipedia, David Card (revision), CC BY-SA 4.0. Photo : Roxanne Makasdjian and Alan Toth for the University of California, Berkeley, CC BY 3.0, Wikimedia Commons.
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