Jason Zweig
starts off his WSJ Moneybeat column “Investors believe the darnest things.”
Turns out wealthy investors believe they can earn 8.5% return. Don’t they know
the economy is growing ~2% last 5 years, bonds are returning 2%-3%, stocks are
near record high Price/Earnings and less likely to grow?
More astounding ‘One
in Six’ Institutional Investors believe they can earn 20%. This is despite
a record of below average returns. These are not mom & pop investors like
you and me.
We should not be surprised the cause of these beliefs. People
avoid information that will cause them to feel or think in a way they don’t
want to. Smoker avoid the Surgeon General Warning. Dieters do break down for
that piece of cake.
Blogger Mr. Money Mustache says, “Yes! The politicians like
to cultivate fear, jealously and entitlement because these are strong emotional triggers.” No wonder
partisans of both parties cannot agree. Both are ignoring evidence disagreeing
with their beliefs. However neither party has a monopoly on good ideas.
Nobody likes to look at their shrinking funds when the market
has an inevitable recession. We hate to sell investments that have gone down in
price because we have to acknowledge the loss. It is easier to pretend it will
recover. People then give up and sell out near the bottom of the market. Then
are unaware of the start of eventual recovery and miss market gains.
George Soros record of investment is outstanding. George
says a large part of his success is acknowledging
an idea is not working and limiting his losses.
We need to be more humble and admit there may be better ideas out there. Actively search for
different opinions and let your ideas be
challenged. Try to build a consensus before rushing ahead.
When planning a project, define what success will look like.
Then figure how to measure the results.
Lean Startups look for a minimum viable product / service to test if there is a
market for it.
It is okay to be wrong and fail. How else do
we learn?
See Think for Yourself for more ideas on confirmation bias
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