Is The Truth Out There? With Michael Shermer

The discussion highlights the influence of postmodernism, a philosophical movement that questioned objective truth. This led to an environment where any claim could be doubted, mirroring contemporary trends like 'fake news' and 'alternative facts.' The segment emphasizes how this skepticism can be detrimental when it undermines trust in reliable sources and hinders the pursuit of verifiable information.

The transcript highlights 'motivated reasoning,' a cognitive bias where individuals selectively seek evidence that confirms their pre-existing beliefs while ignoring contradictory information. This tendency, known as confirmation bias, is universal and affects how people process information, often leading them to reinforce existing viewpoints rather than objectively evaluating facts.

A significant concern raised is the plummeting public trust in scientific, medical, and academic institutions. This decline, particularly noticeable post-COVID, necessitates a renewed emphasis on demonstrating the reliability and effectiveness of these institutions to rebuild confidence and combat misinformation.

Experts suggest that institutions would have fostered greater trust if they had communicated their recommendations with a probabilistic approach, acknowledging uncertainty and the possibility of future revisions. Instead of presenting findings as definitive statements ('the best available evidence'), framing them with ranges and caveats (e.g., 'a 50/50 chance') could have improved public understanding and acceptance.

Jeffrey Hinton, a leading AI researcher, distinguishes between 'hallucinations' (a common term in AI) and 'confabulations,' which is the human tendency to fill gaps in memory with fabricated details to create a coherent narrative. This distinction underscores that AI systems can generate false or misleading information, highlighting the importance of verifying sources and critically evaluating AI-generated content.

Michael Shermer introduces the concept of 'patternicity,' which is the tendency to find meaningful patterns in random noise. He illustrates this with the example of seeing Jesus's face in a piece of toast, highlighting how humans are predisposed to seek order and meaning even when it doesn’t exist. This bias can lead people to interpret coincidences as significant events or conspiracies.

Shermer uses a thought experiment involving a rustling sound in grass to explain cognitive biases. Assuming a harmless noise is dangerous (false positive) carries minimal risk, while mistaking danger for safety (false negative) can have severe consequences – potentially leading to Darwin Awards. This illustrates why humans are wired to err on the side of caution and perceive threats even when they aren't real.

Shermer points out a paradox: people readily embrace fantastical conspiracy theories involving aliens or shadowy organizations, while ignoring well-documented conspiracies like those perpetrated by Big Tobacco. He attributes this to the lack of 'sexiness' and sensationalism in real-world conspiracies, which often involve mundane actions and corporate entities rather than dramatic narratives.

Shermer clarifies the distinction between scientific consensus as a matter of experimental agreement versus its common understanding as a collection of opinions. He explains that true scientific consensus arises from rigorous testing and debate, representing a probable truth even if it's potentially subject to revision, contrasting this with how the term is often misused.

Michael Shermer distinguishes between the rigorous research conducted by scientists and the superficial investigation often performed online. He highlights that when a scientist claims to have done their research, it signifies a far more in-depth process than simply reviewing YouTube videos for an hour. This distinction underscores the importance of expertise and methodology in drawing reliable conclusions.

Shermer points out a concerning trend: measles outbreaks are at a 35-year high, directly correlating with the number of unvaccinated individuals. This data highlights the public health implications of vaccine hesitancy and emphasizes the importance of evidence-based decision-making regarding vaccination.

When confronted with claims about vaccines being harmful, Shermer advocates for a response rooted in data and accurate information. He acknowledges that adverse reactions to vaccines, while rare, can occur but emphasizes the need to contextualize these instances within the broader statistical picture of vaccine safety and efficacy. This approach aims to counter misinformation with verifiable facts.

Shermer reflects on the gradual nature of moral progress, noting that changes often occur so slowly they are difficult to perceive in real-time. He uses the example of looking back at past eras and recognizing how far society has progressed morally, highlighting the ongoing evolution of ethical understanding and societal values.

Michael Shermer argues that despite claims to the contrary, objective truths exist and are attainable. He outlines a methodology for pursuing these truths, detailed in chapters two through four of his book 'Truth'. This approach contrasts with postmodern relativism by advocating for systematic investigation and verifiable evidence as pathways to understanding reality.

To clarify the discussion, Shermer defines objective truth as something confirmed to a degree where provisional acceptance is reasonable. He emphasizes that this acceptance remains 'provisional,' acknowledging the possibility of future correction or revision based on new evidence—a crucial element distinguishing scientific inquiry from dogma.

Shermer introduces the concept of 'fallibilism,' which posits that everyone is susceptible to error. This principle underscores the need for constant questioning and verification, as no individual possesses absolute certainty. It serves as a foundation for collaborative knowledge-building, where personal beliefs are open to scrutiny and correction by others.