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According to the document, spreadsheet errors are common, with 20-40% of spreadsheets containing errors and 90% of complex spreadsheets containing errors. The main types of errors are logic errors from incorrect assumptions, mechanical errors like typos, and omissions. Common causes of errors include time pressure on projects, overconfidence among developers, and lack of corporate spreadsheet standards. The document recommends techniques like setting development standards, data entry procedures, ballparking estimates, and double checking work to minimize spreadsheet errors.




