In Bechara's Gambling Task, a 'good deck' is characterized by which of the following?

In Bechara's Gambling Task, a 'good deck' is characterized by which of the following?

• A. It yields net gain over time
• B. It yields higher penalties than rewards
• C. It provides no feedback
• D. It is always chosen first by players

Answer: (A)

The key idea here is long‑term outcome and learning to maximize it. In Bechara’s Gambling Task, decks differ in how rewards and penalties balance out over many trials. A good deck is one that yields a net gain over time—the average payoff per draw is positive when you consider many draws. You might get modest rewards on individual trials, but penalties are small or infrequent enough that the total adds up positively. Over repeated choices, people learn to prefer these decks. In contrast, decks that are bad deliver larger, more tempting rewards but come with penalties that, in the long run, outweigh the gains, producing a negative expected value across many trials. That’s why the good decks are characterized by positive net gain over time: they optimize long‑term payoff rather than short‑term thrill. Feedback is part of the task’s learning process, so the idea that there’s no feedback isn’t accurate. Initial choices aren’t guaranteed to be always from the good decks either, since learning begins with exploration. And decks aren’t defined as having higher penalties than rewards across the board; what matters is the balance over time, which is positive for good decks.

The key idea here is long‑term outcome and learning to maximize it. In Bechara’s Gambling Task, decks differ in how rewards and penalties balance out over many trials. A good deck is one that yields a net gain over time—the average payoff per draw is positive when you consider many draws. You might get modest rewards on individual trials, but penalties are small or infrequent enough that the total adds up positively. Over repeated choices, people learn to prefer these decks.

In contrast, decks that are bad deliver larger, more tempting rewards but come with penalties that, in the long run, outweigh the gains, producing a negative expected value across many trials. That’s why the good decks are characterized by positive net gain over time: they optimize long‑term payoff rather than short‑term thrill.

Feedback is part of the task’s learning process, so the idea that there’s no feedback isn’t accurate. Initial choices aren’t guaranteed to be always from the good decks either, since learning begins with exploration. And decks aren’t defined as having higher penalties than rewards across the board; what matters is the balance over time, which is positive for good decks.