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F1 Must Learn From Mexico's Terrifying Marshal Near-Miss
Liam Lawson criticized marshal safety after nearly hitting two marshals clearing debris during the Mexico City GP, prompting an FIA inquiry into trackside protocol failures.
- Soon after Lawson pitted, Racing Bulls driver Liam Lawson narrowly missed hitting two marshals at the Mexico City Grand Prix and warned, `I could have f***ing killed them.`
- On lap three, marshals were placed on standby to enter after cars passed turn one, but race control rescinded dispatch instructions and showed a double yellow flag once Lawson pitted.
- Starting 15th, Lawson pitted immediately after damage on the opening lap and was out of sync with the field, which he said contributed to the dangerous encounter with marshals.
- The FIA stated it was investigating after race control revoked marshals' instructions, and `We are still investigating what occurred after that point.` as Norris won the race in dominant form.
- Safety concerns raised could prompt scrutiny of race-control protocols, as observers said they couldn't understand how marshals ran across the track live, and Lawson demanded, `I have no idea why, I'm sure we'll get some sort of explanation, but it really can't happen again.
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12 Articles
12 Articles
By George Ramsay, CNN Formula One driver Liam Lawson claims he narrowly avoided a fatal collision with two marshals who ran across the track during the Mexican Grand Prix. The incident happened on the third lap of Sunday’s race as Racing Bulls’ Lawson was returning to the circuit after an early pit stop. The two marshals ran from one side of the track to the other, directly in front of Lawson’s car, and the New Zealander was quick to express his…
·Idaho Falls, United States
Read Full ArticleLiam Lawson met two people in the middle of the road when he was shooting at maximum speed and the FIA stopped the race in the last laps because of the abandonment of Carlos Sainz
·Buenos Aires, Argentina
Read Full ArticleCoverage Details
Total News Sources12
Leaning Left2Leaning Right0Center8Last UpdatedBias Distribution80% Center
Bias Distribution
- 80% of the sources are Center
80% Center
L 20%
C 80%
Factuality
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