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Hand Axes 1.7 Million Years Ago

By Michael Alan Prestwood

Mon 13 May 2024
Published 2 years ago.
Updated 2 years ago.
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Hand axes: Humans started using them nearly 2 million years ago. These meticulously crafted tools exemplify the advanced technological skills and cognitive capabilities of early humans. Its sophisticated design and precise craftsmanship underscore a deep understanding of material properties and tool use.

Hand Axes 1.7 Million Years Ago

1960

“By 1.76 million years ago, early humans began to create hand axes.”

This seemingly simple statement about hand axes is mind-opening and philosophically significant for a few reasons. It highlights the ingenuity of early humans. Crafting tools from stone requires planning, foresight, and understanding of cause and effect. It also represents a critical leap in technological development. These tools allowed early humans to interact with their environment in entirely new ways, signifying a turning point in their evolution. Finally, it prompts us to consider the vast timeframe involved. Hand axes are a tangible reminder of our distant past and the remarkable cognitive development that laid the groundwork for our current existence.

Analysis: Around 1960, paleoanthropology started uncovering early human cognitive abilities due to Leakeys’ discovery and promotion of Homo habilis. Homo habilis was associated with the Oldowan tools found in Olduvai Gorge, demonstrating early human tool use and cognitive abilities starting around 2.6 million years ago. This discovery was foundational in reshaping our understanding of early human intelligence and technological skill.

— map / TST —

Michael Alan Prestwood
Author & Natural Philosopher
Prestwood writes on science-first philosophy, with particular attention to the convergence of disciplines. Drawing on his TST Framework, his work emphasizes rational inquiry grounded in empirical observation while engaging questions at the edges of established knowledge. With TouchstoneTruth positioned as a living touchstone, this work aims to contribute reliable, evolving analysis in an emerging AI era where the credibility of information is increasingly contested.
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