Juan Vidal-Perez
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vipejuan.bsky.social
Juan Vidal-Perez
@vipejuan.bsky.social
PhD student @Max Planck UCL || RL and decision-making || Trying to understand how we process (dis)information 🧠🗞️
We found that biases systematically distorts beliefs, even when:
✔️Biases are non-ideological, simple and additive
✔️Participants are highly motivated to learn
✔️They have clear chances to detect/correct biases
Bias silently takes hold—even when we're trying to resist it!
10/13
April 7, 2025 at 4:54 PM
2️⃣Second finding: people misperceive neutral sources as being biased.
After interacting with a biased source (e.g., favorable), a neutral source was perceived as biased in the opposite direction (e.g., unfavorable). And this only emerged after the ground truth was withheld.
8/13
April 7, 2025 at 4:54 PM
So, what did we find?

1️⃣First big finding: People don't fully correct for bias.
Even when they’ve had ample opportunity to learn that a source is biased, they still under-debiased. Participants became biased in the same directions as the sources that informed them!
7/13
April 7, 2025 at 4:54 PM
The task had two phases:
🟢Phase 1: true outcomes and source feedback were shown, so that could learn about source biases.
🟠Phase 2: only source feedback was shown (no true outcomes), so they had to infer the values of paintings.
We also asked them to classify the bias of each source.
5/13
April 7, 2025 at 4:54 PM
Instead, they relied on external sources that estimated the selling price of selected paintings. But these sources could give biased estimates:

➕Favorable sources overestimated true selling prices by ~3$.
⚫Neutral sources (unbiased) ➖Unfavorable sources underestimated by ~3$
5/13
April 7, 2025 at 4:54 PM
First, bias is not noise.
•Noise is like a coin flip—random and directionless.
•Bias is systematic—it consistently skews things in a certain direction.

And here's the kicker: while noise cancels out over time, bias can accumulate. 2/13
April 7, 2025 at 4:54 PM