Our memories store essential elements extracted from our experiences. Then, when we return to them with our memories, we re-create or reconstruct our experiences rather than retrieve exact copies of them. Daniel L. Schacter, in his book “The Seven Sins of Memory,” shows that in the process of reconstructing our memories, we add feelings, beliefs, and even knowledge that we have gained in the future, after the events to which we are reaching back in memory, and thus distort our memories. This shows how our minds are not perfect.

In addition, research shows that we forget 95% of what someone says to us, for example, during a lecture, a presentation at work, or a simple conversation. What does the data look like for other activities?

It turns out that we forget:

  • 🧠 90% of the information we read,
  • 🧠 80% from watched or listened to audiovisual material,
  • 🧠 70% from a watched demonstration of a problem,
  • 🧠 50% from the discussion undertaken on the issue,
  • 🧠 25% when we practice our knowledge,
  • 🧠 and only 10% when we teach someone else.

Thus, it can be concluded that everything we want to learn and benefit from in the future should end with teaching (or at least practicing learning) the same to others. This supports the thesis that we should not keep our experiences and skills to ourselves but share them with other people as soon as possible

This is important from the perspective of planning the development of ourselves, but also when we want to ensure the growth of our teams’ competence. The simplest thing we can do (as companies) is to provide a special space for exchanging experiences for all people in the organization so that each of them can share the knowledge they have gained with others.

Subscribe
Powiadom o
guest

0 komentarzy

Adam Trojanczyk Books

Join the leaders, who make better decisions.

My name is Adam Trojańczyk – CEO of a technology company recognised by the Financial Times and Deloitte as one of the fastest-growing in Europe. I am the author of five books and a man living with severe haemophilia. I write about leadership in the age of AI from the perspective of someone who, throughout his life, has had to learn about risk, limitations and responsibility in a different way to most people.

I have over 1,500 readers, including CEOs, directors, founders, managers, professors, politicians, leaders, and people who want to think for themselves, lead authentically, and make better decisions.

This isn’t a newsletter about trends, life hacks or motivational slogans. I only write when I have something that’s genuinely worth your attention.

Sign up and receive three of my books in PDF format.


You May Also Like
Czarny kot-maskotka chowa się za jaśniejącym monitorem przy biurku i podpisuje dokument z pustą linią na nazwisko, co obrazuje lidera oddającego odpowiedzialność za decyzję sztucznej inteligencji.
Read more

AI told me to – the most expensive sentence a leader will say in 2026

AI in a leadership decisions doesn't start with failure. It starts with convenience. We ask the model for knowledge, then for analysis, then for direction. First we hand over trivial things, then harder ones, until we're no longer handing over convenience — we're handing over our own judgment. And the first person to notice isn't us.
Zamyślony kot siedzący przy biurku wpatrujący się w ekran laptopa - symbol cichej utraty samodzielnego myślenia na rzecz AI
Read more

I Miss Thinking. What You Lose When AI do this for You

MIT research shows that ChatGPT users have the lowest brain engagement, and in 40% of tasks people apply no critical thinking at all. What you hand over to AI and what you keep for yourself — that's a decision every leader must make on their own.
Data-driven leadership - przywództwo napędzane danymi
Read more

Data-driven leadership. 7 ways to make better decisions.

The gap between companies that can use data to make meaningful decisions and those that are stuck in a mess of spreadsheets and managers' hunches is growing faster than anyone expected. The greater the pressure to perform, the easier it is for someone to come up with the idea of simply monitoring people more closely instead of using data more wisely. This article is about how to avoid that.