Science Deniers Past and Present
method” has enabled all the fruits of modern civilization.
The Scientific Method’s
steps are (modified for distributor results):
- (then) Gather new
- Do iterative experiments ever
- Uncover Strategic Insights.
- Sometimes nail something new
- And, Scale it.
Until 1660, when the
Royal Society of England was founded, scientists who published discoveries that
conflicted with the beliefs of the church or dictators could be burned at the
stake. Even today – politicians, churches, economists, CEOs, etc – will
undermine any (scientific) facts that get in the way of their agendas (comp
plans) or belief-identities. Want to get ahead? Tell these bosses what they
want to hear!
Science-denying leaders have good audiences for their data-free opinions. Besides obedient underlings, surveys reveal that citizens are OK on everyday-science facts. But, they often struggle with the scientific method process and statistics.
Belief Types: Finance, Sales Relationships and Family-Company Values
Every company is dominated
by the voice of finance. Be financially pragmatic. Pay timely taxes. Service
debt and meet lender’s ratios. Meet the payroll. Please the auditors. But, what
are the blind spots of financial operating assumptions like “buy-low, sell-high,
questioning, theories, and new analytics” should challenge financial management?
Do financial numbers measure the improving effectiveness of leaders, strategy, and
the culture and systems that support the strategy? How measurably great and
guaranteed your “service value” is for best, most net-profitable, target
Switching to the
sanctity of “relationships that reps have with their customers”. Where are
the metrics by which to manage and improve the quality and win-win economic
benefits of these relationships?
also have beliefs/values. But, to paraphrase Tolstoy, “Happy family businesses are all alike; every unhappy
family business is
unhappy in its own way.” Have
any unhappy, family beliefs to question?
In your company, if scientific method analytics clash with data-free
beliefs, what happens? Is the C-Suite open to experiments? Or, do they want
“new” data that supports the status quo beliefs and compensation schemes? Big
profitable gains come (unfortunately) from big changes to old ways. What will
happen to your company, in fast-changing times if scientific method analytics
can’t challenge dysfunctional, profit-drain beliefs? For more on scientific,
big-change analytics for distributors, be in touch: email@example.com