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Showing posts with the label Cognitive Bias

Unveiling Controversial Opinions: RAADZ's Pioneering Approach to Honest Survey Responses

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Public discourse on controversial topics can often be fraught with fear—fear of judgment, of societal backlash, of getting "canceled" for expressing unpopular viewpoints. These fears stem from an increasingly polarized society where there is often little room for divergent opinions. Traditional surveys, while designed to capture honest responses, are not immune to this dynamic. It's called the social desirability bias, where individuals modify or hide their true views to align with what they perceive as socially acceptable. This fear-induced conformity lessens the quality of survey data, as it veils the true diversity of public opinion. Enter RAADZ , a unique survey platform that breaks down these barriers to honesty and invites open expression, even on contentious issues. The Psychology Behind the Fear At the root of the lack of honesty in traditional surveys lies two interconnected factors: the fear of social consequences and the desire to conform to perceived societal

Empowering Market Research with RAADZ: Turning the False Consensus Effect from a Foe to a Friend

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  Greetings, I’m the architect behind RAADZ , a groundbreaking tool striving to reimagine the conventional methods of market research. Our mission? To facilitate more truthful, more precise survey responses through an engaging approach, fueled by an intriguing psychological phenomenon: the False Consensus Effect. Before we delve into the mechanics of RAADZ, let’s unpack the concept of the False Consensus Effect. This cognitive bias manifests when individuals overgeneralize their personal beliefs, opinions, and behaviors, assuming that they align with the views of the general population. In other words, we are inclined to believe that our perspectives represent the ‘norm’. But what role does this play in market research? Traditional surveys often encounter the hurdle of insincere responses due to fear of backlash or being “cancelled”, particularly when probing sensitive subjects. This is where the False Consensus Effect presents an innovative solution. In RAADZ, we’ve integrated this co