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Confirmation bias is shaping our world in ways many don't realise, especially through social media algorithms designed to keep us scrolling and engaged with content that reinforces our existing beliefs.

• Social media platforms track what you click, like, comment on, and even how long you hover over posts
• Algorithms feed you more of what you've shown interest in, creating echo chambers where everyone thinks the same way
• During COVID, people were divided based on what content they engaged with about vaccines, lockdowns, and policies
• The Charlie Kirk incident shows how quickly social media pushes people to opposite sides without waiting for facts
• Challenge yourself by following people you disagree with to gain a more balanced perspective
• Turn off your devices regularly and talk to real people in the real world
• Remember that someone's differing opinion isn't wrong – you just don't agree with it

If you found this helpful, please share it with someone who spends too much time on their phone. Subscribe for notifications when new episodes are released, and leave a rating and review on your podcast app. For more information or to work with me, visit ahealthyshift.com.

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Roger Sutherland is Australia's Night Shift & Sleep Specialist and the founder of A Healthy Shift.

After more than 40 years working rotating shifts with Victoria Police, Roger now helps organisations reduce fatigue risk, improve staff wellbeing and build healthier, safer and higher-performing 24/7 workplaces through evidence-based education, circadian biology and the Shift Work Champions™ Framework.

Shift Work Champions™: https://join.ahealthyshift.com/shift-work-capability

Website: https://ahealthyshift.com.au

LinkedIn: https://www.linkedin.com/in/roger-sutherland

Instagram: @a_healthy_shift

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Disclaimer: Roger Sutherland is not a doctor or a medical professional.  Always consult a physician before implementing any strategies mentioned in this podcast. Use of this information is strictly at your own risk. Roger Sutherland will not assume any liability for direct or indirect losses or damages that may result from the use of the information contained in this podcast, including but not limited to economic loss, injury, illness, or death.

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