There is low confidence in the accuracy of the numbers reported. The intake reflects a rough guide to what an athlete consumed but quantities volumes or specific brands might be unknown. It is a loose insight into what the athlete did but the room for error is high-to-very high. This level of confidence most likely reflects the nature of the event (for example an ultramarathon 24 hour or multi-stage event).
"}}},{"title":"Low data confidence","level":2,"description":{"childMarkdownRemark":{"html":"There is some confidence in the quantities and brands of products consumed but the data may lack specifics (e.g. volumes specific flavours). A high number of estimations have been made and the room for error is moderate-high. There may also be the possibility that some intake has been grossly over- or under-estimated.
"}}},{"title":"Moderate data confidence","level":3,"description":{"childMarkdownRemark":{"html":"There is an adequate level of accuracy in the data collected and the numbers reported. The athlete manages to recall what they ate and drank including most specifics (brands flavours quantities plausible estimations of volumes). However there are estimations made within the data which affect the overall confidence level in the data reported.
"}}},{"title":"Good data confidence","level":4,"description":{"childMarkdownRemark":{"html":"There is good confidence in the accuracy of the data reported. An athlete feels that the numbers closely reflect what they consumed despite a couple of estimations which may carry some degree of error. The majority of what was consumed is recorded to a high level of specificity (most volumes are known through the use of bottles brands quantities flavours). The numbers are very plausible and align with previous data recordings (if an athlete has collected data previously).
"}}},{"title":"High data confidence","level":5,"description":{"childMarkdownRemark":{"html":"There is a high level of confidence in the accuracy in the data. The numbers presented are believed to be a very close reflection of reality. There may still be one or two estimations made in the data (an inescapable part of field data) but there is reason to believe that these are accurate and that possible error has been kept to a minimum. It is data that has been collected and recalled as accurately as is possible given the uncontrolled settings/circumstances.
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This can be a satisfying tactic to clear the mouth out after swimming and help with perceived cooling if the bottle has been chilled beforehand\n- When on the 20 minute run, Stuart didn’t drink anything, but did [dump water over his head](https://www.precisionhydration.com/performance-advice/hydration/how-to-stay-cool-when-racing-in-hot-conditions/) in order to cool down ","commentsSummary":"- 2012 Olympian Stuart is an English triathlete who, after retiring in 2015, returned to international competition in 2023 to compete in the World Sprint Championships in Hamburg alongside his wife [Michelle Dillon](https://www.precisionhydration.com/athletes/case-studies/triathlon/michelle-dillon/15-07-2023/)\n- In an event which would be finished in less than an hour and a half, the key thing from a fueling and hydration perspective is the preparation for the race \n- Stuart was pleased with his performance, especially given the fact that he'd severely injured both calves and wasn’t yet back at 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