The article argues that Donald Trump's unique and prolonged lame-duck period, coupled with domestic political pressures, makes him dangerously prone to international instability. Having exhausted major diplomatic gambits, Trump is expected to channel his energy into high-stakes, unilateral actions, primarily targeting adversaries such as Iran and Cuba. These potential actions—ranging from fresh strikes in the Persian Gulf to attempts at regime change—carry a significant risk of destabilizing regional security and triggering a global economic crisis. Policymakers must anticipate this pivot to high-risk foreign policy to mitigate potential international flare-ups.
The Fatal Contradiction at the Heart of Socialist Prison Abolitionism
English Summary
The article identifies a fatal contradiction in socialist prison abolitionism: achieving socialism requires extensive government control over key economic sectors, which necessitates criminalizing countless activities and thus requiring a massive state coercive apparatus. Historically, attempts to enforce such sweeping regulations have generated black markets that must be suppressed through mass coercion, confirming the need for incarceration. Consequently, the author argues that genuine reductions in incarceration are not achieved by increasing state control or making more things illegal, but rather by significantly reducing the scope of criminal law (e.g., abolishing drug prohibition and limiting immigration restrictions).
中文摘要
本文指出社會主義監獄廢除主義存在一個根本矛盾:實現社會主義需要政府對關鍵經濟部門進行廣泛控制,而這又必然要求將無數活動定為犯罪,從而需要建立龐大的國家強制力體系。歷史經驗顯示,試圖執行如此全面的管制往往會產生黑市,進而必須透過大規模的強制手段來鎮壓,這反過來證實了監禁制度的必要性。因此,作者主張,真正減少監禁規模的方法並非增加國家控制或將更多行為列為非法,而是大幅縮減刑法本身的範圍(例如廢除藥物禁令和放寬移民限制)。
Related Entries
-
1.
-
2.
China's economic strategy is characterized by a persistent 'economics of denial,' prioritizing massive state-directed investment in advanced technology over addressing weak domestic consumption. This approach is rooted in a flawed belief that controlling physical capital will automatically generate productivity and wage growth, ignoring the structural imbalance where domestic demand consistently falls short of supply. This overinvestment and underconsumption model is unsustainable. Consequently, Beijing's policies will continue to generate global deflationary pressures and escalating trade friction, necessitating a fundamental pivot toward consumption-led growth for long-term stability.
-
3.
The Blue Wave signals significant voter frustration with cost of living and inflation, giving Congress a mandate to prioritize affordability and cost-reduction measures. Economically, the rapid build-out of AI data centers is creating localized stress, driving up skilled labor wages and straining resources, while also facing constraints from power grids and potential local regulatory backlash. Policymakers must manage this 'sequencing issue'—addressing rising costs before full productivity gains from AI can materialize—and anticipate shifts in global data center infrastructure as the market matures.
-
4.
The article analyzes the deep ideological split within the Democratic Party regarding the future of U.S. foreign policy, pitting centrists against progressives. Centrists generally advocate for restoring a reformed U.S.-led international order and strengthening alliances, while progressives argue for a multipolar world that prioritizes transnational threats like climate change and AI over geopolitical competition. This division is most pronounced in the Middle East, where centrists push for greater pressure on Israel and a regional settlement, a shift largely welcomed by progressives. The core finding is that these internal debates threaten to consume a future administration with indecision, making it difficult for the U.S. to project a coherent and unified global strategy.
-
5.
The article argues that the AI sector risks undergoing a 'digital Morganization,' where financial instability and overinvestment could lead to the consolidation of power among a few large hyperscalers. This concentration is driven by the financial vulnerability of independent data centers, which may struggle to support the massive debt financing the AI boom. While AI demand is soaring and costs are falling (Jevons Paradox), the resulting market structure threatens to eliminate competitive alternatives, leaving application developers reliant on the dominant Big AI players. Policymakers must proactively identify and mitigate these risks to prevent the loss of competitive infrastructure and maintain market diversity.