Genius Drop: Agreement Is Not Independent Evidence

Three people can agree because they have independently examined a question. They can also agree because they read the same recommendation.

Those are not the same kind of support for a decision.

On September 29, MIT News described research on the use of shared algorithms in hiring. The researchers found a context-dependent picture: shared systems are not automatically worse, and their models explored how common information can restrict discovery. The work also considered conditions where combining algorithms could help. It is not a real-world verdict on a particular employer or a reason to improvise changes to hiring decisions.

For everyday leadership, the useful question is narrower: are our reasons genuinely independent?

Try a low-stakes source check

Choose a planning decision, such as the format of an internal project update. Write down the recommendation and ask each contributor what observation supports it.

If every answer points to the same article or the same person's preference, you have found a shared source. That does not make the recommendation wrong. It tells you what kind of confidence you can reasonably have.

Then ask what direct observation might challenge it. Perhaps the intended readers need a short decision list rather than the longer report everyone assumed they wanted. Check with them before declaring the format settled.

Use different contributions without turning them into labels

Natural Genius offers a way to examine the work. Creative contribution can generate an alternative. Relational contribution can ask the intended users a useful question. Execution contribution can compare the options against a clear criterion.

This exercise is GGA's practical interpretation, not an intervention validated by the MIT study. Use it to improve a small planning conversation, not to make consequential employment decisions.

Discover the contributions available. Activate them around a question with room for disagreement. Help them thrive by making it safe to revise the answer.

Explore the organizational tools for a more deliberate team conversation: https://www.natgenius.com/for-organizations#tools

Count independent reasons, not just agreeing voices.

Discover it. Activate it. Thrive in it.

Source: MIT News, September 29, 2026. https://news.mit.edu/2026/algorithmic-monoculture-effects-depend-on-details-0929