WikiCards · Card list · Science cards · Human Factors Analysis and Classification System
Common card · Science
Human Factors Analysis and Classification System, a Common card
The Human Factors Analysis and Classification System identifies the human causes of an accident and offers tools for analysis as a way to plan preventive training.
- Rarity
- Common
- Domain
- Science
- ATK
- 34
- DEF
- 27
- Power
- 61
- Wikipedia reads a year
- 3,300
Power 61 (ATK + DEF): stronger than 15 % of WikiCards cards.
The facts on the card
The card carries these facts from its Wikipedia article.
- It was developed by Dr. Scott Shappell of the Civil Aviation Medical Institute and Dr. Doug Wiegmann of the University of Illinois at Urbana-Campaign in response to a trend that showed some form of human error was a primary causal factor in 80% of all flight accidents in the Navy and Marine Corps.
- HFACS is based in the "Swiss cheese model" of human error which looks at four levels of human failure, including unsafe acts, preconditions for unsafe acts, unsafe supervision, and organizational influences.
- It is a comprehensive human error framework that folded James Reason's ideas into the applied setting, defining 19 causal categories within four levels of human failure.
Why it is Common
Rarity in WikiCards follows a year of Wikipedia page views: the most read articles become Epic and Legendary cards. The Human Factors Analysis and Classification System article was read about 3,300 times in a year. ATK comes from the length of the article and DEF from its quality, so this card hits with 34 and blocks with 27: each hit it takes is cut by 11 %.
How to get Human Factors Analysis and Classification System
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.
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Credits
Text : Wikipedia, Human Factors Analysis and Classification System (revision), CC BY-SA 4.0. Photo : Doveroftke, CC BY-SA 4.0, Wikimedia Commons.
