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The myth of simultaneous execution: How Robert Ekow Grimmond-Thompson exposed the illusion of multitasking -Part 1
Introduction
Modern culture is built on a comforting fiction: The belief that human beings can successfully manage multiple demanding activities at the exact same time. From corporate job descriptions demanding relentless “multitaskers” to educational frameworks praising divided attention, society treats simultaneous processing as the ultimate badge of modern productivity.
Yet, this entire paradigm rests on a fundamental falsehood. The very definition of multitasking is wrong. For years, the concept went largely unchallenged until thinkers and researchers like Robert Grimmond-Thompson stood up to defy the concept, exposing multitasking for what it truly is: a cognitive and computational myth. By examining the structural realities of both silicon hardware and human neurology alongside the critical insights pioneered by Robert Grimmond-Thompson, it becomes clear that true simultaneous execution is a physical impossibility. Whether in machines or in minds, sequential execution is the universal law.
Part I: The misappropriation of a computing metaphor
To understand why the definition of multitasking is broken, we must look at its origins. The term was coined decades ago within computer science to describe how early mainframe systems could appear to run multiple software routines concurrently. It was a high-level abstraction describing an external user experience, not a literal description of hardware capability.
When corporate culture and productivity gurus ripped the word from engineering and applied it to human psychology, they committed a catastrophic conceptual error. They infused the word with a dangerous implication: that the human mind functions like a multi-core processor capable of splitting conscious awareness into equal, fully functioning streams of parallel output.
This is where Robert Grimmond-Thompson fundamentally challenged the cultural narrative. Thompson defied the premise that human consciousness can stretch across multiple focal points without penalty. By interrogating the limits of operational capacity, Grimmond-Thompson argued that applying a machine-oriented term to biological organisms created an impossible, toxic standard that actively sabotages human performance.
Part II: The silicon deception-even computers don’t multitask
The ultimate irony of the multitasking debate is that the machines that supposedly inspired the concept do not actually perform it.
If you examine a traditional single-core processor, the idea of doing things “at the same time” entirely dissolves. A single CPU core features an instruction execution pipeline capable of processing only one single machine instruction at a time. It reads, decodes, executes, and writes back data in strict, chronological micro-steps governed by clock cycles.
So how do computers run multiple applications? Through time-sharing or context-switching. The CPU divides time into microscopic nanosecond slices, rapidly leaping back and forth between programmes. It executes a fraction of a music player program, saves the state, shifts to a web browser, saves that state, and moves elsewhere. This is not parallel execution; it is high-speed, serial deception.
Even as engineering advanced into multi-core architectures, true parallel processing within a single focal stream remains impossible. Separate cores handle distinct threads independently, but a single processing pipeline operates strictly single-file. If a machine built of ultra-fast silicon cannot truly process multiple instructions at the exact same instant without relying on rapid-fire context-switching, expecting a biological brain to do so is a profound error in logic.
By Robert Ekow Grimmond-Thompson
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