When the world looks cruel, every defense of God becomes a theory of human nature.

Topics Discussed

 * The problem of evil argument and the two main ways to resist it: reject premise 1 or reject premise 2.
 * Leibniz’s “best of all possible worlds” theodicy, including its psychological promise of consolation and its ethical demand for active striving.
 * Voltaire’s mockery of Leibniz after the Lisbon earthquake, especially the charge that “the best of all possible worlds” sounds absurd in the face of real suffering.
 * Other responses to the problem of evil: deism, the devil, free will, evil as a counterpart to good, the soul-making defense, and skepticism about whether we can prove that unnecessary suffering exists.
 * The connection between theology and moral psychology in Hobbes, Leibniz, and Spinoza: whether people need religion, political authority, or freedom from superstition in order to live well.

Lesson 2.2: The Problem of Evil, Pt. II

If God is perfectly good, then this world demands an explanation—or a surrender of belief.

Topics discussed:

 * The relationship between intellectualism and belief in the supernatural
 * A Pyrrhonian-style move: examining both sides of the “religion vs. reason” debate
 * Early Christianity as a countercultural and sometimes anti-intellectual movement
 * Introduction to Baron d’Holbach—an early, explicit defender of atheism
 * The notion of the God of the Gaps
 * The Problem of Evil argument against God’s existence

Lesson 2.1: The Problem of Evil, Part I

If we can’t prove whether God exists, should we treat belief like a gamble—and choose the option with the best payoff?

Topics discussed:

 * The philosophical dilemma of whether belief in God should be based on reason, faith, or skepticism.
 * Major positions on the existence of God: rational theism, fideism, deism, atheism, non-theism, and agnosticism.
 * The life and intellectual background of Blaise Pascal, mathematician, theologian, and pioneer of probability theory.
 * The historical origins of probability theory, including early work by gamblers like Gerolamo Cardano and Pascal’s correspondence with Fermat.
 * The concept of expected utility and how decision theory evaluates rational choices under uncertainty.
 * The structure of Pascal’s Wager, which argues that believing in God maximizes expected value because of the possibility of infinite reward.
 * Mathematical objections to the wager, including the Many Gods objection and the Zero Probability objection.
 * Psychological and ethical objections, including doxastic involuntarism, the moral integrity objection, and the Many Hells objection.

Lesson 1.8: The Ace of Spades

Stop treating AI like a search engine and start using it as a "cognitive architect" to bridge the gap between just having information and actually building expertise.

Topics discussed:

 * The Knowledge Illusion: We often fail to distinguish between knowledge stored in our own heads and information readily available in our environment, leading to a false sense of expertise.
 * Illusion of Explanatory Depth: Instant access to the internet can make us feel more confident in our understanding of a topic than we actually are; forcing ourselves to explain a concept is the best way to break this spell.
 * Setting the Stage: Effective learning begins with isolating core concepts and stripping away non-essential content to reduce cognitive load.
 * Deep Processing: Based on the principle that "memory is the residue of thought," learning happens when we actively think about the meaning and implications of information.
 * AI-Driven Retrieval Practice:
   Free Recall Loop: Using AI to analyze what you remember from memory and identify gaps or misunderstandings.
   Pre-flight Diagnostics: Tasking AI to quiz you on foundational terms to ensure proficiency before moving to complex material.
   Borderline Case Testing: Improving conceptual clarity by asking AI for clear examples, non-examples, and tricky "borderline" cases.
 * The Power of Chunking: Organizing disparate facts into small, meaningful units (like how a chess grandmaster sees patterns rather than individual pieces) to make complex material easier to retain.

Lesson 2: Foundational Fluency with AI

During the Age of Enlightenment, the tools of reason that had been used to support faith for centuries began to erode the very foundations of religious authority.

Topics Discussed:

 * The Fragility of the Cartesian Bridge: Examining why Descartes' reliance on a benevolent God to escape skepticism left his project vulnerable to the "Great Erosion" of the 18th century.
 * Naturalizing the Supernatural: The Enlightenment shift from divine intervention to naturalistic explanations for phenomena like lightning, witchcraft, and demonic possession.
 * The Deep Time Crisis: How geological discoveries and "cooling experiments" challenged the traditional biblical chronology of James Usher.
 * Biblical Criticism and Authorial Doubt: The birth of modern textual analysis as Spinoza, Newton, and Reimarus began to treat sacred texts as human historical records.
 * The Rise of Materialism and Atheism: Analyzing the emergence of open atheism and materialism in the radical works of Jean Meslier and Baron d’Holbach.

Lesson 1.7: The Great Erosion

As we offload our cognitive labor to machines, are we inadvertently erasing the 'road to expertise' and deskilling the very traits that define high-level thinking?

Topics discussed:

 * The Hidden Cost of Deskilling: Why human proficiency and cognitive involvement decline when we outsource mental tasks to external systems.
   
 * The "Levelling" Illusion: How GenAI allows users to perform at a high level without actual domain mastery, effectively breaking the ladder to expertise.
   
 * The Multiplier Effect: Why the biggest performance boosts are reserved for those who already possess the skills to critically evaluate and edit machine output.
   
 * AI as a Cognitive Amplifier: A three-stage framework—Foundational Fluency, Application, and Active Engagement—to ensure technology extends thinking rather than replacing it.

Lesson 1: Overreliance on AI

Locke promises a “blank slate” mind—but once you follow the logic, his empiricism starts sliding toward skepticism.

Topics discussed:
 * Three “contenders” for what knowledge is: Descartes (JTB + foundationalism); Bacon (knowledge as power); Locke (empiricism)
 * Locke’s tabula rasa (blank slate) and why he rejects innate ideas
 * How Locke tries to calm intellectual arrogance: learn the limits of the human mind
 * Objections to Locke: Berkeley’s skeptical pressure, Hume’s problem of induction, and modern cognitive-science pushback on the blank slate
 * How each theory hits a wall (utility vs certainty vs “reliable enough”)
 * Pyrrhonian skepticism as a therapy for overconfidence in theory

Lesson 1.6: The Blank Slate

If our senses can deceive us and our reasoning can outrun experience, which should we trust as the true foundation of knowledge: reason alone, or the evidence of the world?

Topics discussed:
 * How radical skepticism (including modern versions like simulations) motivates Descartes’ turn inward
 * A reconstruction of René Descartes’ Cogito argument as a proposed foundation of certainty
 * The difficulty of moving from Descartes’ foundational truths to knowledge of the external world
 * Philosophical objections to Descartes’ inference from thinking occurs to a unified self exists, including Nagasena’s chariot analogy
 * The role of innate ideas and God in Descartes’ attempt to bridge the epistemic gap
 * John Locke’s rejection of innate ideas and the blank slate hypothesis
 * Locke’s empiricism, including simple vs. complex ideas and indirect realism
 * The tension between reason and the senses as competing sources of knowledge
 * The emerging dilemma between rationalism and empiricism as rival epistemic frameworks

Lesson 1.5: Reason and the Senses

Descartes responds to radical uncertainty with an audacious plan: find one belief so secure that nothing—not even deception itself—can shake it.

Topics Discussed:
 * The historical and intellectual crises of early 17th-century Europe that shaped Descartes’ project
 * The motivation behind Descartes’ method of doubt as a response to skepticism
 * The regress problem and why it pressures philosophers toward foundationalism
 * Descartes’ strategy of withholding belief from anything that can be doubted
 * Arguments from sense deception, dreaming, and the evil demon
 * Why even mathematics and logic become targets of radical doubt
 * The search for indubitable foundations as the starting point for knowledge
 * How Descartes’ internal, first-person approach marks a turning point in modern epistemology

Lesson 1.4: The Method of Doubt

Francis Bacon’s revolution wasn’t about solving the old puzzles of knowledge, but about changing the very rules of inquiry — turning epistemology outward, toward the world.

Topics discussed:
 * The Aristotelian worldview once made the world feel intelligible, but its central pieces began to collapse under new observations and conceptual pressures.
   
 * Around 1600, linguistic, technological, and cultural shifts gave rise to a new meaning of “experiment”: not trying something, but deliberately manipulating nature to reveal hidden causes.
   
 * Early experimentalists were seen as eccentric outliers whose strange new practices challenged tradition and authority.
   
 * Francis Bacon argued that knowledge begins with experience, requires purging our “idols,” and aims at prediction, control, and the relief of human suffering.
   
 * Bacon introduced ideas that anticipate empiricism, pragmatism, and positivism—each redefining what it means to know and what counts as meaningful inquiry.
   
 * Though powerful, Bacon’s model faces the challenge that predictive and explanatory success can still come from false theories (e.g., Ptolemy, alchemy).
   
 * The lesson closes by placing Bacon’s “knowledge is power” view beside Plato’s JTB theory, raising the question: What is knowledge, really?
   

Lesson 1.3: Knowledge Is Power

These are PHIL courses taught by R. C. M. García at El Camino College. 

The Luxury of Virtue