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Widely used personality tests like Myers-Briggs are scientifically unsound and unreliable for hiring. They give a false sense of control and insight but are based on flawed information, with many users getting different results on re-tests.

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A company found its top engineers were "difficult." Before changing hiring criteria to favor this trait, they checked their worst-performing engineers and found they were also difficult. The trait was common to all engineers, not a signal of success, revealing a classic survivorship bias.

Data shows personality traits exist on a smooth continuum. While algorithms can force people into categorical "types" (like Myers-Briggs), these groupings are not stable or replicable across different samples, meaning there are no natural, distinct personality categories.

The widely used Big Five personality model is a statistical artifact of group averaging. When individuals are studied over time and across situations, fewer than one-third can be accurately categorized by the model, revealing its limitations in describing individual lives.

The core problem with self-assessment emotional intelligence tests is that individuals with low EQ do not have the self-awareness to score themselves accurately. This makes the data unreliable and can reinforce blind spots, as they may believe they are highly emotionally intelligent.

Labeling someone with a fixed personality trait is misleading, as behavior is highly context-dependent and traits evolve over a lifetime. Choosing a partner based on current personality is less effective than assessing present compatibility and willingness to grow.

Beyond complex personality frameworks, simply assessing whether someone is a low, medium, or high risk-taker is one of the most powerful and overlooked predictors of their life decisions, career path, and overall behavior.

Contrary to the stereotype of the optimistic salesperson, hiring for pessimism can lead to better results. Pessimistic reps are less likely to have "happy ears," meaning they don't blindly accept what a prospect says and are better at uncovering the truth in a deal cycle, leading to more accurate forecasts.

Unlike personality tests like Myers-Briggs that describe who you are (a noun), Working Genius is a productivity tool that describes what you do well (a verb). It provides a practical, close-to-the-ground framework for assigning roles and organizing daily work on a team, in a project, or even at home.

The strong impression from a job interview creates a false sense of 'knowing' who will be a good hire. This vivid, face-to-face interaction leads managers to overweight its value and discount more predictive data. Adding an unstructured interview can therefore make hiring predictions worse than using objective data alone.

Rather than using personality assessments to accept or reject candidates, the firm uses the results to craft more insightful interview questions. This helps them probe for specific traits and understand role fit without making the test a pass/fail gate, acknowledging there is no single 'good' personality.