Academic Entropy: Why the Experts Can’t See the End of the World
We are living through the collapse of the ‘Knowledge Economy’, but not because we have run out of things to know. We are collapsing because the structure we built to produce knowledge—the modern University and the Peer-Review system—has succumbed to the same thermodynamic laws as a dying coal mine.
It has hit the point of Negative Marginal Returns on Complexity.
For years, those of us in the ‘collapse’ or ‘structural’ space have felt this intuitively. We see thousands of brilliant PhDs churning out papers that seem to say less and less. We see a political class that is ‘guided by science’ yet entirely blind to the biophysical cliffs approaching us.
Now, we have the data to prove it.
The Disruption Crash
A landmark study published in Nature (Park, Leahey, Funk, 2023 ; arXiv version) analysed 45 million scientific papers and 3.9 million patents filed between 1945 and 2010. They measured a metric called the CD Index (Consolidating vs. Disruptive).
Disruptive Science creates a new stream of knowledge that renders previous work obsolete.
Consolidating Science builds incrementally on existing work, refining rather than challenging.
The results are a thermodynamic horror story. Since 1945, the ‘disruptiveness’ of scientific research has collapsed by nearly 100% in social sciences and over 90% in physical sciences. We are pouring more energy (funding, computing power, human years) into the system than ever before, but the structural output has flatlined. In the language of my SETE Model, the ‘Maintenance Power’ (Pmaint) required to keep the academic machine running has eaten the entire surplus. We have entered Academic Entropy.
The Silo Trap: The Atmospheric Chemistry Blind Spot
The most damning evidence of this entropy is found in what the experts choose to forget. Take the current panic over methane.
To a ‘Systems Auditor’, the link is obvious: Hydroxyl (OH) sink saturation. If CH4 levels appear to drop while CO2 record-spikes, it is a clear metabolic shift—the atmosphere’s ‘detergent’ (OH) is being exhausted by fire-driven Carbon Monoxide, slowing the processing of methane and dumping the byproduct into the CO2 bucket.
Yet, ‘real’ Climate Scientists—the ones running the global models—behave as if they fell asleep in Atmospheric Chemistry 101. They treat CH4 and CO2 as separate ‘Policy Silos’. Why? Because to acknowledge the OH bottleneck is to acknowledge a Hardware Failure that no ‘Software Update’ (like the Glasgow Methane Pact) can fix.
The system selects for the scientist who stays in their lane. If you are a glaciologist, you don’t talk about Hydroxyl radicals. If you are a policy-drafter, you don’t talk about competitive inhibition from forest fires. The result is a ‘Consensus’ that is technically proficient but functionally delusional.
The Gatekeeper Failure: A Personal Case Study
This is not just an abstract statistical trend; it is an operational reality. Consider the fate of my own foundational papers, A Socio-Economic Thermodynamic Entropy (SETE) Model and The Path to the Singularity.
I submitted these papers to SSRN (the Social Science Research Network, now owned by Elsevier) on November 28, 2025. As of January 2026—over 35 days later—they remain in ‘Preliminary Upload’ limbo. The system has stalled. It cannot reject them (the format is correct), but it cannot accept them (the content disrupts the ‘Infinite Growth’ axiom).
In contrast, I uploaded the same papers to Zenodo (the CERN-backed open science repository). Zenodo processed them instantly. Since then, the papers have been downloaded hundreds of times by engineers, analysts, and researchers worldwide.
This divergence proves the thesis. Zenodo (Science) operates on low entropy: it stores and shares data. SSRN (Status) operates on high entropy: it expends massive energy filtering for ‘reputational risk’ and ‘consensus alignment’. The result is that the ‘Official’ channel is dead, while the ‘Samizdat’ channel is vibrant.
UPDATE: SSRN approved my papers after approximately 40 days! This is great news, and will hopefully allow further dissemination.
The Normative Trap and Strategic Flak
This is not just a problem for the establishment; it is a trap for the dissidents as well. Even the most vocal critics of the ‘Rules-Based Order’ often remain fundamentally normative. They point out the dysfunction and the ‘piracy’ of the current hegemon, yet they harbour an underlying belief that we can simply return to ‘normal’ under better leadership.
This is the ultimate silo: the belief that the ‘Software’ of diplomacy can fix the ‘Hardware’ error of thermodynamic exhaustion.
In media studies, Noam Chomsky defined ‘flak’ as a reactive filter used to discipline those who stray from the narrative. However, we have moved beyond reactive discipline into the realm of offensive Strategic Flak. Originating from German anti-aircraft area-denial weaponry (Fliegerabwehrkanone), the logic matches Sun Tzu’s ‘Unfathomable’ deception. By obsessing over divisive, identity-based topics, the media-algorithm complex acts as a proactive engine of entropy, generating enough chaotic ‘heat’ to ensure that the range of debate never touches the structural hardware.
The current President acts as the ultimate Heat Shield. He absorbs the friction of the ‘End of Pretence’, allowing critics to blame a Person (Agency) rather than the Structure (Thermodynamics). This kinetic area-denial ensures we only argue about the style of the eviction, never the necessity of the Landlord’s metabolism.
The Conspiracy of the Obvious
Critics often ask if this implies a grand conspiracy. It does not. As Chomsky and Herman noted in Manufacturing Consent, the system operates not by a ‘crude process of conspiracy’, but through a filtering system that selects for ‘the right kind of people in the right places’.
The filters of career advancement—tenure, editorial boards, algorithm-driven visibility—ensure the gradual ‘weeding out’ of those who are not deemed ‘suitable’ for responsible positions. If you want to rise, you know what you need to do: stay in your lane, consolidate the status quo, and never synthesise the hardware with the software.
If this looks like a strategy, that’s because it is. But it isn’t a ‘secret plan’. It is simply The Plan. It is the operational logic of an empire attempting to hide its own thermodynamics.
Looking into the Gaps
The ‘truth’ of our current crisis—the transition into the Resource Entropy Singularity—exists in the gaps between the disciplines. As the ‘Heat Shield’ begins to fail, we see the ‘Analysts in the Wilderness’ finally being heard.
Figures like Colonel Lawrence Wilkerson—who spent a career in the Pentagon being largely ignored precisely because his structural analysis was too disruptive for the machine—are now being forced to speak the ‘unfathomable’. When a former Chief of Staff begins proposing the replacement of the UN and discussing refinery chemistry as a driver of empire, you know the Academic Entropy is reaching a breaking point.
The ‘Barbarians’ (Entropy) are not at the gates; they are in the plumbing. If you want to understand the reality the system is hiding, you have to look exactly where the algorithm tells you not to. You have to look into the gaps.




I disagree about the "grand conspiracy". Chomsky left a big impression on me when I learned about his manufacturing consent concept as a teenager. But explaining irrational public knowledge without direct conspiracy doesnt mean grand conspiracies cant be real. Chomsky famously believed the official JFK assassination narrative?!?! Now we have pictures of him with Epstein (who was in the Council of foreign relations and the trilateral comission. Also he was heavily involved in Iran Contra and large scale financial crime) and having a great time with Alan Dershowich (basically the main character from devils advocate).
Living at the end of the oil age in a society that is completely oblivious to it feels... Unreal, unsettling, disturbing, alienating. Personally it took me literally two sentences by Bill Rees to turn from progress normy to entropy realist. Understanding the 2nd law and looking at some basic data is not hard, doesnt require a phd, most people could understand our predicament. So how come now one is aware? Having personal experience in trying to teach others about it, it even seems like people are vaccinated against learning about it. I know I know recency bias, optimism bias, cultural/institutional inertia etc. But I dont believe this staggering ingorance developed without top down manipulation of the narrative.
The term deep state was developed by a left wing professor, Peter Dale Scott. If you doubt the capabilities or motivation by the mafia like structures at the top of hierarchical structures to conspire against the many look up: church commitee, NATO secret armies, propaganda due, danny casolaro, gary webb, gary caradori...
People who secretely spend decades performing horrible human experiments on a scale of the manhattan project to learn how to control the human mind, surely wont shy away from controling public consiousness on a massive scale. Western nations typically only have a handful major media corporations making up the majority of information injection into the graph of social information flow. Just like locking a laser to a small bandwith frequency by injecting a resonant frequency into the laser diode - incection locking - you can inject some resonant, viral, bullshit discourse (think gender debate or reductionist CO2 fixation) into the graph of public information flow and lock the overton window the the part of the spectrum you want.
So if you were part of the ruling dynasties and knew about peak oil (we know intel agencies and corporation knew for decades) wouldnt you want to hide it from the public. Better even create a young generation that wants to consume less and is happy about less oil production etc. I saw a documentary where a british just stop oil activist said they want zero fossil fuels by 2030 (everyone would die of course). sorry for this essay of a comment, I really like your posts steve
I understood this some time ago. Trump is just a symptom.