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  2. Year 2000 problem - Wikipedia

    en.wikipedia.org/wiki/Year_2000_problem

    Translation: "Welcome to the Central School of Nantes 12:09 3 January 1900." The term year 2000 problem, [1] or simply Y2K, refers to potential computer errors related to the formatting and storage of calendar data for dates in and after the year 2000. Many programs represented four-digit years with only the final two digits, making the year ...

  3. Time formatting and storage bugs - Wikipedia

    en.wikipedia.org/wiki/Time_formatting_and...

    In computer science, data type limitations and software bugs can cause errors in time and date calculation or display. These are most commonly manifestations of arithmetic overflow, but can also be the result of other issues. The most well-known consequence of this type is the Y2K problem, but many other milestone dates or times exist that have ...

  4. Year 2038 problem - Wikipedia

    en.wikipedia.org/wiki/Year_2038_problem

    The year 2038 problem (also known as Y2038, [1] Y2K38, Y2K38 superbug or the Epochalypse[2][3]) is a time computing problem that leaves some computer systems unable to represent times after 03:14:07 UTC on 19 January 2038. The problem exists in systems which measure Unix time —the number of seconds elapsed since the Unix epoch (00:00:00 UTC ...

  5. Year 1900 problem - Wikipedia

    en.wikipedia.org/wiki/Year_1900_problem

    The year 1900 problem concerns the misinterpretation of years recorded by only their last two digits, and whether they occurred before or after the year 1900. Unlike the year 2000 problem , it is not tied to computer software alone, since the problem existed before electronic computers did and has also cropped up in manual systems.

  6. Memory error - Wikipedia

    en.wikipedia.org/wiki/Memory_error

    Memory errors may include remembering events that never occurred, or remembering them differently from the way they actually happened. [1] These errors or gaps can occur due to a number of different reasons, including the emotional involvement in the situation, expectations and environmental changes. As the retention interval between encoding ...

  7. Return period - Wikipedia

    en.wikipedia.org/wiki/Return_period

    Return period as the reciprocal of expected frequency. The theoretical return period between occurrences is the inverse of the average frequency of occurrence. For example, a 10-year flood has a 1/10 = 0.1 or 10% chance of being exceeded in any one year and a 50-year flood has a 0.02 or 2% chance of being exceeded in any one year.

  8. Common Era - Wikipedia

    en.wikipedia.org/wiki/Common_Era

    Common Era. Common Era (CE) and Before the Common Era (BCE) are year notations for the Gregorian calendar (and its predecessor, the Julian calendar), the world's most widely used calendar era. Common Era and Before the Common Era are alternatives to the original Anno Domini (AD) and Before Christ (BC) notations used for the same calendar era.

  9. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example, an innocent person may be convicted. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. For example: a guilty person may be not convicted.