Create Bins and View Distributions

tableau, bins, bar, chart, distribution, age, data, science

I have just enrolled in a Data Science course on Udemy  and I learned good stuff.

It’s cool, you finished the 1st part. Now we’re going to do more deep Data Mining analysis with this bank’s dataset.

tableau, bins, bar, chart, distribution, age, data, science

To make these analyzes more deep, we’ll create a more statistical approach.

To do that we will create a new tab.

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

For this new tab, we want to understand how client distributed according to their age. Is there a majority of young or old people ?

tableau, bins, bar, chart, distribution, age, data, science

Move the variable « Age » in « Columns ».

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

As we want to see the distribution of client ages, we need to use the variable « Number of Records » to see the number of observations. Move the variable « Number of Record » to « Rows ».

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

Boom, we have a chart but there is only one point on the top right. What happened is that Tableau took the sum of the ages of all the bank’s clients and the sum of all the « Number of Records », it means the total number of clients, 10 000 clients.

We’ll find a solution but before we’ll change the format to better see the chart. Right-click in the middle of the chart and select « Format ».

tableau, bins, bar, chart, distribution, age, data, science

For the font’s size, select « 12 ».

tableau, bins, bar, chart, distribution, age, data, science

Here you can see that the total age is 39 218 but that’s not what we’re looking for. What we want to see is the number of clients for each age.

I’ll explain what’s going on. We took the aggregated sums of our variables. Aggregate means that we took the total sum of the variable for each category. We added the ages but in fact we want to see the total number of observations for each age separately.

To have that, just click on the arrow in « SUM(Age) » in « Columns ».

tableau, bins, bar, chart, distribution, age, data, science

Then select « Dimensions »

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

You see, Tableau doesn’t take the aggregated sum of ages but it takes ages separately. We have a curve that shows us the continuous distribution of our clients ages. That is to say, for each age, the curve gives is the number of clients of this age.

We’ll look at the dataset. Right-click on « Churn Modelling » and select « View Data… ».

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

There is window that appears that shows us the data in detail. If you scroll to the right, you will find the column « Age ».

tableau, bins, bar, chart, distribution, age, data, science

We see that the ages rounded. As all ages rounded, Tableau is able to group clients by age. By positioning the mouse on the curve, we can see that there are 200 clients who are 26 years old.

tableau, bins, bar, chart, distribution, age, data, science

If in the dataset, ages weren’t rounded, you would have seen clients with 26.5 or 26.3 years. It would create a lot of irregularity, there would be plenty of spikes with lots of variations.

Oooooh look, there is a variation that isn’t normal.

tableau, bins, bar, chart, distribution, age, data, science

Let’s analyze it in detail. Around this peak, we see that there are 348 clients who are 29 years old.

tableau, bins, bar, chart, distribution, age, data, science

Here, 404 clients who are 31 years old.

tableau, bins, bar, chart, distribution, age, data, science

And this peak down that shows us that there are 327 clients who are 30 years old.

tableau, bins, bar, chart, distribution, age, data, science

How to explain this irregularity ? It’s possible that many people of 29 years old are about to turn 30 years old and many people of 31 years old who just had 31 years old. It’s chance that make us have inaccuracies. You may have other inaccuracies if you data isn’t precise and rounded. In our case, the ages are rounded but we want to get rid of our small irregularity that we see on our curve.

There is way to see our distribution without our irregularities, it’s « bins ». « Bins » consists of grouping the information into different categories. That is we’re going to regroup our clients in different age groups.

Right-click on « Age » in « Measures ». Select « Create » and select « Bins… ».

tableau, bins, bar, chart, distribution, age, data, science

A window appears. We’ll group our clients in 5-years increments. In « Size of bins », write « 5 » and click on the « OK » button.

tableau, bins, bar, chart, distribution, age, data, science

As you can see, the variable « Age » has remained in « Measures » but there is a new variable in « Dimensions ».This is the variable we created « Age(bins) ».

tableau, bins, bar, chart, distribution, age, data, science

Our « Age(bins) » variable was correctly placed in « Dimensions » because it is a category variable because each category corresponds to a 5-year age group.

For example, one category is 20 to 24 age group. Now we’ll create a new distribution based on « bins ».

To do that, we’ll remove the variable « Age » from « Columns » with a click and drag outside.

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

You move the variable « Age(bins) » from « Dimensions » to « Columns ».

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

Note

In this case, it’s not possible to directly replace « Age » by « Age(bins) » over « Age » on « Columns ». This is because « Age » is a measure and « Age(bins) is a dimension.

That’s nice distribution, it’s usually the type of distribution (chart) we see in economics or mathematics. The difference with the old chart is that this chart is discrete. This chart is discrete because the clients grouped by age group while the previous chart was continuous.

On this distribution (chart), each bar corresponds to an age range. For example, this bar corresponds to the 25-29 age group.

tableau, bins, bar, chart, distribution, age, data, science

Now, we’ll change the colors.

In « Row », move « SUM(Number of Record) » while holding down the « Ctrl » or « Command » key on your keyboard to « Colors ».

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

We get our distribution in blue but we’ll change the color to red. Click on « Colors » and click on « Edit Colors »

tableau, bins, bar, chart, distribution, age, data, science

In the window that appears, click on the blue square on the right to display the color pallet.

tableau, bins, bar, chart, distribution, age, data, science

Select the red color and click on the « OK » button.

tableau, bins, bar, chart, distribution, age, data, science

Click on the « OK » button of the « Edit Colors » window.

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

To facilitate the reading of the bar chart, we’ll add the number of clients in each age group. In « Row », move « SUM (Number of Record) » while holding the « Ctrl » or « Command » key on your keyboard to « Label ».

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

That’s it, we can see how many clients there are in each age group.

We see that the dominant bar is the 35-39 age bracket and the second dominant bar is the 30-34 age bracket. Overall, we can see that most clients are between 25 and 40 years old, which seems consistent.

On our bar chart, we have absolute values. We’ll replace that with percentages. Click in the little arrow in « SUM(Number of Records) » in « Label » and you select « Add Table Calculation… » but I’ll show you another way to do it.

tableau, bins, bar, chart, distribution, age, data, science

Instead of clicking « Add Table Calculation… », click on « Quick Table Calculation » and select « Percent of total ».

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

It’s cool, we have the exact percentage of people in each age bracket. Now, we can see that in the 25 to 40 age group, we have 20 + 23 +17= 60% of clients.

I’ll show you one last thing.You can change the size of the slices easily, just click on « Age(bins) » and select « Edit ».

tableau, bins, bar, chart, distribution, age, data, science

In the windows, you can change the size of the slices (bins). Put « 10 » instead of « 5 » to get 10-years slices. Click on the « OK » button.

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

Now, we have a distibution with fewer slices and the dominant slice is 30 to 39 years old.

Well, it was just to show you how to change the size of bins. To go back to the old distribution with the 5-years slices, click on « Back » button.

tableau, bins, bar, chart, distribution, age, data, science

tableau, bins, bar, chart, distribution, age, data, science

As you can see, the values on bars are in percentages but the values on the axis are in absolutes values. Here is an exercise that I ask you to do : « Put the values of the axis in percentage ». I’ll give you the answer the next article.

Share this article if you think if can help someone you know.Thank you.

-Steph

A Rare Habit To Have To Be Successful

curious question

I watched an Olivier Roland’s video  and I learned good stuff.

The most successful entrepreneurs are those who are the most curious. It has an extremely simple habit that the majority of the population doesn’t have. This habit is to ask questions but be careful, they’re use 2 way to ask questions :

  • By curiosity to try to understand the history, the motivation and the methods of a person or a company.

  • To question things that everyone agrees with. Are these things that everyone takes for granted true or not ?

It may be trivial, but how many people have met athletes, entrepreneurs or others great people who have just said : « Wow, that’s amazing what you did ». Then they could ask : « What motivated you to do that ? » or « Do you have a piece of advice that helped you on your journey ? » or « Do you make a stupid mistake that will stop you ? ».

When you ask questions about things that everyone takes for granted, you can sometimes find gold mines. What I means is that there are things that many people think is true when it’s wrong because they didn’t verify the information. So, this may be a gold mine that can make you rich at all levels.

It happens because we, human beings, have an imperfect representations of how reality works. That is, we’re like prehistoric explorers with rudimentary maps. The closer your mental map is to how the universe really works, the more likely you’re to do relevant actions, so to be more successful in your life in all areas of spiritual wealth (being happy, living long, create value, etc) and material wealth.

Ask to understand

ask listen learn

For example, Erico Rocha ( ooh, read this article ) is a Brazilian entrepreneur who has an incredible success in the information field in Brazil and he’s someone very curious. When you tell him one thing, he’ll understand that you have implicitly accepted that as a truth and he’ll question you on it.

You can do that too, and that opens doors that you never imagined.

Here is a concrete example. Many people think that handwork things are better than industrial things. This is a truth that most people have accepted without verified the information and this will influence their thoughts, decisions and words. Now let’s ask ourselves : « Is something handwork automatically better than an industrial thing ? ».

It’s true that there are some handwork things that are better than industrial things, but is a handwork book better than an industrial book ? We can ask the same question for a car, is a handwork car better than a industrial car ?

Analyze around you people who think that handwork things are automatically better than industrial things. Be careful, these people aren’t going tell you that explicitly. They’re just going to say things like : « Did you see ? I bought this wooden spoon, it’s pretty, huh ?!? It’s a handwork thing ». In this case, you can ask the question : « For you, are handwork things better than industrial things ? » With that you can analyze the way of thinking of this person on this subject.

With this habit, you’ll change your state of mind. This habit of asking such questions allows you to find those unconscious acceptances that influence our thoughts, actions and words. When you use that, it gives you a lot of advantage in life to be successful compared to people who don’t understand that.

Share this article if you think it can help someone you know. Thank you.

-Steph

Incline Bench Sit-Ups

incline bench sit ups

I read a Frederic Delavier’s book « Strength Training Anatomy » and I learned good stuff.

Sitting on the bench with your feet under the pads and your hands behind your neck. Inhale and tilt your torso without ever exceeding 20° :

  • Move your torso back up by slightly rounding your back to better target the effort on recuts abdominis

 

  • Exhale at the end of the movement.

This exercise work the entire rectus abdominis muscles and iliopsoas, rectus femoris and tensor fasciae latae (these last 3 muscles help pelvis anteversion). This movement is to do with high sets.

Variant

incline bench sit ups

When you back up, you can do a rotation of your torso to transfer a part of the effort to the obliques.

Example

A rotation to the left work more intensely right abdominal external oblique, left abdominal internal oblique and rectus abdominis on the right. Twists can be done alternately or unilaterally. The goal is to focus on the muscular sensation and it’s unnecessary to incline the bench too much.

Diagram showing the senses of action of abdomen muscle and the system of viscera’s compression

action abdomen muscle system viscera compression

 

  1. Rectus abdominis

  2. Abdominal external oblique

  3. Abdominal internal oblique

  4. Transverse abdominal

With quadrupeds, the entire rectus abdominis muscles passively support the viscera (like a hammock ) and help a little in locomotion.

With human being in bipedal mode, the entire rectus abdominis muscles have hugely strengthened so that the torso and pelvis is upright and prevent the pelvis from tipping excessively during walking or running. They became powerful muscles of contention and they built a strong core to maintain viscera in an active way.

Share this article if you think it can help someone you kow. Thank you.

-Steph

Create Your Own Company During Your Studies Or Job

employee entrepreneur

I watched an Olivier Roland’s video  and I learned good stuff.

Here are several reasons why, I find it important to be an entrepreneur rather than an employee :

 

  • When you’re an entrepreneur, you gain experience really faster.
  • When you have your own company, few people ask you for your certificates/diplomas/degrees.
  • Employee, it’s a bad way to earn money because you trade the thing you have most valuable for money : your time.
  • It’s no longer possible to keep a job for more than 10 years (unless you work for the government)
  • When you’re employed, you help your boss to realize his/her dreams.
  • Being an employee is like being a tenant (think of the tenant’s inconvenience)
  • The longer you ‘re employed, the more difficult it will be to start your own company because you have become accustomed to the comfort of wage labor.
  • Creating your own company is almost guaranteed to make you feel alive.
  • An employee is an entrepreneur who have only one client and one product. The client is your boss and the product is your time.
  • Creating your own company allows you to be less discriminated.

 

In spite of all that I have just told you, there will always be more employees than entrepreneurs in your city. It’s like that.

Share this article if you think it can help someone you know. Thank you.

-Steph

Calves Over Bench Sit-Ups

bench sit ups

I read a Frederic Delavier’s book « Strength Training Anatomy » and I learned good stuff.

Your legs are on a bench with your back to the floor and your hands behind your head :

  • Inhale and raise your torso as high as possible to touch your knees with your head by rounding your spine.

  • Exhale at the end of the movement.

bench sit ups

This exercise works recuts abdominis and more intensely the parts above the navel.

It’s good to know that farther is your torso from the bench, this increases the mobility of the pelvis. This allows a greater range of motion and works more flexors muscles of the hips (iliopsoas, rectus femoris and tensor fasciae latae).

bench sit ups hand elbow position

Share this article if you think it can help someone you know. Thank you.

-Steph

Gym Ladder Sit-Ups

gym ladder sit ups

I read a Frederic Delavier’s book « Strength Training Anatomy » and I learned good stuff.

Hook you feet in the gym ladder with your thighs vertically. Your back to the floor and your hands behind your head :

  • Inhale and raise your torso as high as possible by rounding your spine.

  • Exhale at the end of the movement.

This exercise mainly works rectus abdominis and a little bit internal and external obliques.

rectus abdominis

abs muscles anatomy

It’s good to know that farther is your torso from the gym ladder and hook your feet lower, this increases the mobility of the pelvis. This allows a greater range of motion and works more flexors muscles of the hips (iliopsoas, rectus femoris and tensor fasciae latae).

Share this article if you think it can help someone you know. Thank you.

-Steph

Body Under Construction 2018 04 28

Each month I do my body check to track my body’s evolution with photo, measurements and body fat(%) to reach my Golden Ratio.

I take my results in the morning with my stomach empty or just a glass of water.

I calculate my body fat ( %) with the 1 site skin fold (fat caliper) and I use the caliper’s chart.

Current

  • Height : 175 cm (5 ft 8.8 in)

  • Weight : 85.5 kg (188.49 lbs)

  • body fat(%) : 12.7 %

  • Waist : 93.5 cm (36.81 in)

  • Chest : 99 cm (38.97 in)

  • Arms : 34.5 cm (13.38 in)

  • Forearms : 30 cm (11.81 in)

  • Shoulders : 119 cm (78.34 in)

  • Hips : 99 cm (38.97 in)

  • Thighs : 62.5 cm (24.60 in)

  • Calves : 41 cm (16.14 in)

  • Neck : 38 cm (14.96 in)

Goals (Golden Ratio)

  • Height : 175 cm (5 ft 8.8 in)

  • Weight : 80 kg (176.37)

  • body fat(%) : 8 %

  • Waist : 75.07 cm (29.55 in)

  • Chest : 107.25 cm (42.22 in)

  • Arms : 39.93 cm (15.72 in)

  • Forearms : 31.63 cm (12.45 in)

  • Shoulders : 121.47 cm (47.82 in)

  • Hips : 91.16 cm (35.88 in)

  • Thighs : 61 cm (24.01 in)

  • Calves : 39.61 cm (15.59 in)

  • Neck : 39.68 cm (15.62 in)

Websites where I found my Golden Ratio, it’s here .

Websites where I calculate my body fat(%), it’s here .

And you ? Have you set your goals ?

Share this article if you think it can help someone you know. Thank you.

-Steph

Sit-Ups

sit ups

I read a Frederic Delavier’s book « Strength Training Anatomy » and I learned good stuff.

Lying on your back with your knees bent. Your feet are on the floor and your hands are behind your head :

  • Inhale and lift your torso rounding your back.

  • Exhale at the end of the movement

  • Back to the starting position but your back shouldn’t touch the floor.

  • Do it again until the burning sensation in your stomack.

This exercise mainly works rectus abdominis and a little bit hip flexors and obliques.

Variants

sit ups

sit ups inclined board

  • To make it easier, you can do this exercise with your feet blocked by a partner

  • To make it easier, you can do this exercise with your arms extended forward

  • For more intensity, you can do this exercise with a inclined board

Note

Women generally have less developed bust and proportionately larger legs than men. It’s easier for them to do sit-ups and not take off the feet during the movement.

Share this article if you think it can help someone you know. Thank you.

-Steph

A Pratical Tip To Validate Your Approach

data science tableau check

I have just enrolled in a Data Science course on Udemy  and I learned good stuff.

How was the A/B test « Number Of Product » ? Easy or difficult ?

Here is the result I found.

data science tableau check bar chart

I think you noticed there was something bizarre. There is an anomaly. We imagine that the more the client has products, the more the client is satisfied with the bank so this type of clients should stay in the bank.

In the first 2 bars we can see that a client who has 1 product is more likely to leave the bank than a client who has 2 products. But when a client has 3 or 4 products, we see a huge rate of clients leaving the bank.

Look, there is a little bizarre detail. In the 2nd bar, we can’t see the « Exited » label. This is because there is no place in the orange part to put the text. To make it simpler, we’ll remove the label « Exited ». Drag and drop on the « Exited » text label to the outside.

data science tableau check bar chart

data science tableau check bar chart

Perfect, we can read the percentages. On the 1st bar, we can see that among the client that have 1 products, 28% left the bank. On the 2nd bar, we can see that among clients who have 2 products, 8% left the bank. This show us that clients who have 1 products are more likely to leave the bank than clients with 2 products.

And for the next bars, we observe an anomaly. On the 3rd bar, we can see that among the clients who have 3 products, 83% left the bank. On the 4th bar, we can see that among clients who have 4 products, 100% left the bank. We clearly see that there is a problem and we need to do a deeper analysis to understand what is going on .

As a Data Scientist, we need to explain what happens in bars 3 and 4. Usually when a client has 3 or 4 banking products, that means he/she is satisfied and is loyal to the bank. But in our case, it’s the opposite because there is a high rate of client who left the bank. This is the time to do deeper analysis.

The first thing to analyze is the quality of the data. There is a very big anomaly and it may be because there is something insignificant in our data that disturbs the statistics. For example, it’s possible that when the bank selected these clients in this sample, there were very few clients with 4 products and all those clients with 4 products left the bank. Sometimes chance can create anomalies and you have to play attention to these effects of chance because they don’t seem important but they can create false interpretations.

To start, we will check the number of clients with 4 products.

In « Measure », move « Number Of Records » (which gives the number of observations) on « Label ».

data science tableau check bar chart

data science tableau check bar chart

We observe on the first 2 bars than many clients with 1 or 2 products selected for our sample. For clients with 3 or 4 products, we can see that there were fewer clients selected for our sample.

There are 220 clients with 3 products and 60 clients with 4 products. These small number of clients probably explain why we observe these anomalies.

In this sample of randomly selected clients, there are very few clients with 4 products and they all left the bank. In this situation, we can confirm that it’s a chance. When thing like that happen, you have to be very careful not to make conclusion too fast and make misinterpretations.

The conclusion is that a lot of clients have been selected for category 1 and 2. For category 3 and 4, there have been few clients selected so we can’t do accurate statistics. We need to do deeper analyze for these categories of clients with 3 and 4 products.

Now, let’s put the percentage back on the bar chart. Click on the « Back » button.

.

data science tableau check bar chart

Or do a click and drag of « SUM(Number of Record) » to outside.

data science tableau check bar chart

data science tableau check bar chart

We saw that there is an anomaly and what is interesting to do is to have a comment to remember to do a more in-depth analysis of columns 3 and 4.

Right-click between the bar chart’s title and the bars. Select « Annotate » then « Areas… ».

data science tableau check bar chart

A window appears. In this window, you write « Low observation in last 2 categories » and click on the « OK » button.

data science tableau check bar chart

data science tableau check bar chart

Click on the comment and move it on bars 3 and 4.

data science tableau check bar chart

data science tableau check bar chart

The next time you work on this bar chart, you will see this comment that will remind you to seriously analyze client who have 3 and 4 products.

Validate our approach

It’s time to show you how to validate an approach and how to validate the data. For this we will create a new A/B test.

Duplicate this worksheet with a right-click on the « NumberOfProducts » tab and select « Duplicate ».

data science tableau check bar chart

And rename the tab « Validation ».

data science tableau check bar chart

For this tab, we will erase the comment. Select the comment and press the « Delete » button on your keyboard.

data science tableau check bar chart

data science tableau check bar chart

Everything is ready, the idea is to find a variable that doesn’t affect our results. That is a variable that has no impact on a client’s decision to leave or stay in the bank.

Take for example, the variable « Customer Id ». Client’s identification number has no influence on the client’s decision to stay or leave the bank.

We’ll do an A/B test with the last digit of the « Customer Id » and we’ill check that there is the same clients proportion who leave the bank in the 10 categories of the last digit of the « Customer Id ». The 10 categories are the numbers 0,1,2,3,4,5,6,7,8,9.

Let’s g.To start, we will create the variable that contains the last digit of the « Customer Id ». To have this variable, we will create a « Calculated Field ».

Right-click on « Customer Id », select « Create » and click on « Calculated Field ».

data science tableau check bar chart

data science tableau check bar chart

Name the calculated field « LastDigitOfCustID ». In the text field, we use the « RIGHT » function with « Customer Id » in parenthesis to select the last character of the « Customer Id ». In our case, the last character of the « Customer Id » is the last digit.

Here is the code to write in the text field : Right ({Customer Id},1)

data science tableau check bar chart

data science tableau check bar chart

Oooops, you see there is a small mistake => The calculation contains errors.

There is an error in the formula because « Customer Id » is a number variable and the « RIGHT » function applies to a variable of type « STRING ».

To use the « RIGHT » function, we will convert « Customer Id » into a string. We will use the « STR » function with « Customer Id » in parenthesis.

Here is the code to write in the text field

And click on the « OK » button : Right (STR({Customer Id}),1).

data science tableau check bar chart

Now, you can see that our calculated field « LastDigitOfCustID » is in « Dimensions ».

Click on « LastDigitOfCustID » and move it on top of « NumOfProducts » in « Columns ».

data science tableau check bar chart

data science tableau check bar chart

Now we have a new bar chart and we see that for every last digit of the « Customer Id » there is about the same proportion of clients leaving the bank. All these proportions don’t correspond exactly to the average of 20% but these slight variations aren’t important.

Seeing this uniform distribution allows us to validate our data because these data are homogenous.

Conculsion

Here’s how you can check the homogeneity of your data. You take a variable that has no impact on the fact that a client leaves or stays in the bank. The example we did with the last digit of the « Customer Id » is excellent. We were able to verify that in each of the categories taken by this variable, if there was the same proportion of clients leaving the bank. As is the case, we can validate our data.

Imagine another result. When we do the test with the last digit of the « Customer Id », we observe that for one of the numbers, the rate of clients who left is really higher than the average. This shows us that there is a problem in our data because it indicates an anomaly.

You can find other ways to verify your data by using other « insignificant variables » to see if the distribution is homogeneous. But be careful when you select an « insignificant variable » because there may be traps.

Here is an example. If you create a variable that takes the first letter of the first name, the distribution will not be homogeneous. The reason is simple, there are many more people who have a name that starts with the letter « M » than with the letter « Y ».

Share this article if you think it can help someone you know. Thank you.

-Steph

Be A Curious Entrepreneur To Boost Sales

be curious

I watched an Olivier Roland’s video  and I learned good stuff.

I read an article about Otzi, a man who died about 3255 or 3300 BCE. It’s been over 5000 years. Otzi is the name given to a frozen and dehydrated human being discovered on 19 September 1991 at an altitude of 3210 meters nears Hauslabjoch on the border between Austria and Italy. Otzi discovered with his axe in wooden handle and a copper blade. But why a copper blade because copper is soft ?

Apart from gold, the first metal used by men to make tools was cooper. It’s just because at the time, they didn’t know that by adding tin, it made a stronger alloy, bronze.

Now, it seems obvious to people with knowledge of metallurgy but for a long time nobody knew this alloy.

What I mean is that we’re all ignorant of something. This may be something that a small minority of the population knows or something everyone knows. I’m talking about it in a broad sense, it goes to confidential discoveries to widespread discoveries. We’re ignorant of many of these discoveries, no matter how popular these discoveries are.

Here is an example. Since 1977, it has been scientifically proven that when you make a request to a person (no matter the demand), if you touch the forearm or the shoulder of this person, you can even double your chance that the person tells you « yes ». There are still plenty of people who don’t know this and there are also people who know that but don’t use it. When you become aware of this, you realize that staying alone in you corner doesn’t help you to know the discoveries that there are in the world. And over time, you’ll become the last person to know what everyone starts to learn.

Stay in touch with innovations/discoveries

innovation discovery

What is important to understand for an entrepreneur is that it’s a duty, a philosophy and a way of life to always be in touch with innovations in the scientific field and also in other fields.

Today, there are many techniques or methods that have been used and proven in thousands of sectors to sell effectively on internet. What I find amazing is that there are still a lot of entrepreneurs who don’t know that selling their products on internet is possible. It’s almost a malpractice of theirs because they cut themselves off from an enormous potential for growth.

We all know people who have recently learned things that everyone knew. We have already discovered something and realize that everyone already knew that (or almost).

What is necessary for you to be successful in the long term and build your legacy is that you need to be constantly on a process of meeting people in your field and outside of your field to learn all the time from new things. Which means that you have to read books, follow trainings, follow Youtube educational channel. You also have to go to place to meet people who inspire you and people who motivate you.

Think about it : « If you’re always in a room where you’re the smartest person, you’re in the wrong room ». It may work for a while, but soon you will not evolve and during this time, the world is moving very fast. Be part of the people who take a few steps forward to learn and execute new things and let others stand-still.

Share this article if you think it can help someone you know. Thank you .

-Steph