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Colonisation to Corruption | Vihaan Abhinand | TEDxDiscovery College Youth
TEDx Talksยท2025-08-19 15:21

Key Observations on Post-Colonial Development - The report highlights a pattern of corruption in post-colonial countries, linking it to weak institutions established during colonization [2][4] - The analysis contrasts Kenya, a country struggling with poverty and corruption, with Hong Kong, a successful global trade hub, both former British colonies [7] - The study suggests that the type of institutions established by colonial powers significantly impacts a country's post-colonial development [4][10] Factors Influencing Development Outcomes - In Kenya, British colonization focused on exploiting labor and raw resources like farms and plantations [7] - In Hong Kong, the British valued the region for its importance in trade with China, prioritizing its economy [8] - Kenya's colonial institutions were designed for segregation and exploitation, while Hong Kong's, despite similar procedures, provided a foundation for future systems [8] - Colonial rule in Kenya involved violent repression and land seizures, whereas in Hong Kong, colonization was largely bureaucratic [9] Recommendations for Addressing Corruption - The report advocates for building stronger, more transparent institutions as a solution to corruption, rather than relying on charity [9] - It emphasizes the importance of transparency, free press, and education in combating corruption [9] - The analysis suggests channeling aid through non-governmental organizations and investing in long-lasting institutions [10] - The report proposes studying successful post-colonial countries like Hong Kong to identify strategies for reducing corruption [11] Numerical Data and Conversions - The report mentions that one in three people in Kenya (population 50 million) go to bed hungry [1] - It states that $3.75 trillion (3750 billion) in aid has been given, but a third of it is lost due to corruption [2] - The report notes that some politicians have net worths exceeding $100 million (100 million) [1]