There is a concept called "survivorship bias". This is a type of systematic error where you have a lot of data on a group of "survivors" and almost none on "dead" objects.
During World War II, American engineers were tasked with making bombers more resilient. Initially, the engineers decided to study the damage that aircraft received when returning from missions. in the fuselage and other parts. At the same time, there were almost none in the fuel system and engine. The conclusion was that the most damaged elements of the bomber design needed to be additionally reinforced with armor.
However, the leading expert who was asked to solve this problem, Abraham Wald, made a rather illogical decision. He stated that it was necessary to strengthen those parts of the aircraft that had practically india email list no holes. This concerned the fuel system and the engine. The fact is that, having received damage to these parts, the bombers fell. Accordingly, their damage was not included in the general statistics.
"Survivorship bias" is typical for any type of activity. Including application development. Therefore, you need to spy not only on successful competitors, but also on those who failed.
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