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For an event to become a "current thing," its truth or objective importance is less relevant than its ability to activate outrage and facilitate tribal conflict. The perfect viral story allows people to form "moral tribes" and "go to war" online, using the event as a proxy for a larger ideological battle.

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Outrage-driven news follows a predictable six-step cycle: a fringe story appears, one side reacts, the story gets amplified, the other side counter-reacts, and so on. This banal loop captures attention but distracts from more significant societal problems.

Updating Marshall McLuhan's media theory, Andreessen posits that the internet's native format is the viral meme. Any event, regardless of its real-world significance, is immediately processed into a meme, triggering tribe formation, outrage, and moral panic. This is the fundamental lens through which we now experience reality.

While ideological slants exist, the fundamental driver of modern media is negativity. Catastrophic framing and outrage-inducing content are proven to boost virality and engagement, creating a 'stew of negativity' that is more about business models than political affiliation.

The most effective viral videos often start mid-event, capturing the peak of a confrontation but omitting the crucial lead-up. People only start recording when things get interesting, thereby creating a decontextualized clip that is perfect for generating outrage but poor for establishing truth.

Algorithms optimize for engagement, and outrage is highly engaging. This creates a vicious cycle where users are fed increasingly polarizing content, which makes them angrier and more engaged, further solidifying their radical views and deepening societal divides.

People online don't evaluate political statements for factual accuracy. Instead, they use an "us vs. them" filter. If the speaker is on their team, the statement is good; if they're on the other team, it's bad, regardless of content or logic.

Social media content that "dunks on" an opposing group is 67% more likely to be shared. This virality is driven by in-group reinforcement, not by persuading outsiders. The platform's algorithm rewards and encourages this divisive behavior.

A massive information dump like the Epstein files doesn't lead to a unified truth. Instead, it causes society to fragment into dozens of competing narratives, with individuals choosing the version that best aligns with their pre-existing beliefs, deepening polarization.

A/B testing on platforms like YouTube reveals a clear trend: the more incendiary and negative the language in titles and headlines, the more clicks they generate. This profit incentive drives the proliferation of outrage-based content, with inflammatory headlines reportedly up 140%.

Societal polarization is not just ideological but algorithmic. Social media platforms are financially incentivized to amplify divisive content because "enragement equals engagement," which drives ad revenue. This creates a distorted, more hostile view of reality than what exists offline.