Dataset Information

Winning by hiding behind others: An analysis of speed skating data.

ABSTRACT: In some athletic races, such as cycling and types of speed skating races, athletes have to complete a relatively long distance at a high speed in the presence of direct opponents. To win such a race, athletes are motivated to hide behind others to suppress energy consumption before a final moment of the race. This situation seems to produce a social dilemma: players want to hide behind others, whereas if a group of players attempts to do so, they may all lose to other players that overtake them. To support that speed skaters are involved in such a social dilemma, we analyzed video footage data for 14 mass start skating races to find that skaters that hid behind others to avoid air resistance for a long time before the final lap tended to win. Furthermore, the finish rank of the skaters in mass start races was independent of the record of the same skaters in time-trial races measured in the absence of direct opponents. The results suggest that how to strategically cope with a skater's dilemma may be a key determinant for winning long-distance and high-speed races with direct opponents.

SUBMITTER: Ichinose G

PROVIDER: S-EPMC7423112 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Winning by hiding behind others: An analysis of speed skating data.

Ichinose Genki G Miyagawa Daiki D Ito Junji J Masuda Naoki N

PloS one 20200812 8

In some athletic races, such as cycling and types of speed skating races, athletes have to complete a relatively long distance at a high speed in the presence of direct opponents. To win such a race, athletes are motivated to hide behind others to suppress energy consumption before a final moment of the race. This situation seems to produce a social dilemma: players want to hide behind others, whereas if a group of players attempts to do so, they may all lose to other players that overtake them. ...[more]

PMID: 32785292

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Project description:ObjectivesTo estimate the prevalence, the frequency and the perpetrators of alcohol-related harm to others (AHTO) and identify factors associated with experiencing harm and aggressive harm.DesignCross-sectional survey.SettingEngland.ParticipantsAdults (general population) aged 16 and over.Outcome measuresPercentage of respondents who experienced harm. Socioeconomic and demographic factors associated with the outcomes. Outcomes were (1) experienced harm/did not experience harm and (2) experienced aggressive harm (physically threatened, physically hurt and forced/pressured into something sexual)/did not experience an aggressive harm (no aggressive harm plus no harm at all).ResultsData to support a response rate calculation were not collected; 96.3% of people surveyed completed the AHTO questions. The weighted sample was 4874; 20.1% (95% CI 18.9 to 21.4, N=980) reported experiencing harm in the previous 12 months and 4.6% (95% CI 4.0 to 5.4, N=225) reported experiencing an aggressive harm. Friends and strangers were the dominant perpetrators. Most harms (74.8%) occurred less than monthly. Factors associated with experiencing harm were: younger age (p<0.001), drinking harmfully/hazardously (p<0.001), white British (p<0.001 compared to other white groups and Asian groups and p=0.017 compared to black groups), having a disability (p<0.001), being educated (p<0.001 compared to no education) and living in private rented accommodation (p=0.004 compared with owned outright). Being in the family stage of life (defined as having children in the household) had significantly lower odds of harm (p=0.006 compared to being single), as did being retired (p<0.001 compared to being employed). Factors associated with experiencing an aggressive harm were similar.ConclusionsThis exploratory study, using data collected through the Alcohol Toolkit Survey, shows that AHTO affects 20.1% of the population of England. Even apparently minor harms, like being kept awake, can have a negative impact on health, while aggressive harms are clearly of concern. Using a standard methodology to measure harm across studies would be advantageous. Policies that focus on alcohol must take into consideration the impact of drinking on those other than the drinker.

Dataset Information

Winning by hiding behind others: An analysis of speed skating data.

Publications

Winning by hiding behind others: An analysis of speed skating data.

Similar Datasets

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