Will Tssciencecollaboration succeed?

Tssciencecollaboration may go over everybodies head and noone adopt it
If Tssciencecollaboration can attract a small following of passionate ethical smart users, it will construct incredibly valuable data.
Tssciencecollaboration will succeed
Science is based on an acceptance of rational thinking
Graphs have already demonstrated holes in popular understanding
EG, workers in an enterprise will conform to generate highly useful diagrams.
It solves the problem that employees may have other motivations than the bottom line
It's the scientific approach to decision-making, what the scientific literature is supposed to be
It appeals to a certain cross-section of the population only
A dozen or so high school students have been using it
The Profit from making more correct decisions when it counts will be enormous
There needs to be a training or demo phase for new users
The nature of discourse may be that people disagree on what is rational
Many people will see they don't like the conclusions, and refuse to look further
Even if that is the case, TruthSift can attract a following who agree on the nature of rationality
For an Overview of TruthSift
We will know soon enough when we get more empirical data.

Tssciencecollaboration may go over everybodies head and noone adopt it

 If Tssciencecollaboration can attract a small following of passionate ethical smart users, it will construct incredibly valuable data.

Tssciencecollaboration can be expected to succeed as a corporation by supporting more rational and correct decisions. 

Science is based on an acceptance of rational thinking.

Scientists should be able to use Truthsift to avoid overlooking disproofs of some of their cherished beliefs, which happens quite often in the literature today. 

Scientists should be able to use Truthsift to keep track of what is known as new results are generated leading to downstream consequences. 

 Truthsift can provide better refereeing of scientific publications.

 Truthsift can provide a far more reliable translation of scientific results to public policy.

 Truthsift can teach students the essence of critical thinking. 

 

Graphs have  already demonstrated holes in popular understanding

For example, workers in an enterprise, If they want to keep their jobs,  will not philosophize about the nature of reality nor engage in ad hominem attacks. accordingly they will make much better decisions, and much better documented decisons, using TruthSift. 

It solves the problem that employees may have other motivations than the bottom line. They may be dealing with a supplier that they personally benefit from. they may be trying to locate an office someplace where they have family. they never want to pass bad news up, so management in large organizations is usually clueless about the real problems.

TruthSift makes them justify everything rationally and allows the boss to inspect the arguments. 

It's the scientific approach to decision-making, what the scientific literature is supposed to be. Transparent,  argued point by point,  leaving a paper trail of how objections were overcome, only viewed as proving anything when all objections have been rationally overcome.  

It would be wrong to targetit as a general purpose tool. Once relevant target segments are identified then pursuing them would get better results than just aiming at everyone. This is a specialised tool so finding the niches where this tool applies, is crucial.

Some of them have used it skillfully.  It's a great way to  learn  critical thinking. 

For really big decisions, you can't afford to be wrong. but people constantly overlook solid arguments why their plan is wrong,   focusing solely on the confirming evidence.  TruthSift prevents you from getting a wrong answer in this way. 

Since this is a tool which requires a certain amount of learning, there has to be a phase where its effectiveness can be demonstrated using examples and tutorials. The best simile is that of a Spreadsheet. Nobody can use a spreadsheet without some help and initial learning. All powerful tools require a learning curve. The motivation to learn comes from appreciating its effectiveness.