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Packet loss occurs when one or more packets of data travelling across a computer network fail to reach their destination. Packet loss is either caused by errors in data transmission, typically across wireless networks, [1][2] or network congestion. [3]: 36 Packet loss is measured as a percentage of packets lost with respect to packets sent.
Hindsight bias. Hindsight bias, also known as the knew-it-all-along phenomenon[1] or creeping determinism, [2] is the common tendency for people to perceive past events as having been more predictable than they were. [3][4] After an event has occurred, people often believe that they could have predicted or perhaps even known with a high degree ...
A checksum of a message is a modular arithmetic sum of message code words of a fixed word length (e.g., byte values). The sum may be negated by means of a ones'-complement operation prior to transmission to detect unintentional all-zero messages.
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 ...
A similar phenomenon occurred during the 2022 Southwest Airlines scheduling crisis. [124]) That same day, US Secretary of Transportation Pete Buttigieg said on social media that the US Department of Transportation had received hundreds of complaints about Delta, and reminded the airline of its legal obligations to affected passengers.
Probability is the branch of mathematics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur. [ note 1 ][ 1 ][ 2 ] A simple example is the tossing of a fair (unbiased) coin.
Law of averages. The law of averages is the commonly held belief that a particular outcome or event will, over certain periods of time, occur at a frequency that is similar to its probability. [1][2] Depending on context or application it can be considered a valid common-sense observation or a misunderstanding of probability.
Variations in healthcare provider training & experience [45] [52] and failure to acknowledge the prevalence and seriousness of medical errors also increase the risk. [53] [54] The so-called July effect occurs when new residents arrive at teaching hospitals, causing an increase in medication errors according to a study of data from 1979 to 2006.