Question: Discuss why reviewing approximately 50 errors in an Eyeball dev set is considered sufficient to give a practitioner a 'good sense' of major error sources. Why might fewer than 50 be insufficient, and why might reviewing significantly more than 50 not be strictly necessary for an initial error analysis?

Sample answer: Reviewing about 50 mistakes strikes a balance between statistical reliability and manual effort. Fewer than 50 mistakes might not provide enough data to reliably identify the major recurring patterns or categories of errors, as noise might obscure the true distribution. Conversely, manually reviewing hundreds of errors can be extremely time-consuming and tedious. After seeing about 50 errors, the major categories usually become apparent, and reviewing more often yields diminishing returns for the purpose of simply getting a 'good sense' of what is going wrong.

Key points:

• 50 errors is enough to spot recurring patterns and major categories.
• Reviewing fewer might lead to conclusions based on outliers.
• Reviewing significantly more yields diminishing returns.
• Strikes a balance between identifying trends reliably and minimizing manual effort.

Rubric: Responses should address both the risk of too few examples (insufficient data to spot trends) and the diminishing returns of too many examples (wasted time without proportional insight).