Two LOPs are not as good as three LOPs.

Two LOPs are not as good as three LOPs.

• A. Sometimes
• B. Not enough data
• C. False
• D. True

Answer: (C)

Lines of position constrain where you could be on the chart. Each independent LOP adds a constraint on your actual position. With two independent LOPs, you typically get a definite fix where the two lines cross. Adding a third LOP provides another constraint, which lets you check the consistency of the fix and, through methods like least-squares combining, reduce the overall uncertainty in your position. So, the idea that two LOPs are never as good as three isn’t universally true. In practice, a third LOP usually improves accuracy or helps reveal and mitigate errors, though if the third line is faulty or nearly parallel to the others, it might not add useful information.

Lines of position constrain where you could be on the chart. Each independent LOP adds a constraint on your actual position. With two independent LOPs, you typically get a definite fix where the two lines cross. Adding a third LOP provides another constraint, which lets you check the consistency of the fix and, through methods like least-squares combining, reduce the overall uncertainty in your position.

So, the idea that two LOPs are never as good as three isn’t universally true. In practice, a third LOP usually improves accuracy or helps reveal and mitigate errors, though if the third line is faulty or nearly parallel to the others, it might not add useful information.