our approach

how does it work?

introduction
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pairwise comparison
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blnqr science - FAQ

what scientific basis is there to blnqr?

The idea of a blnqr is to get data from the part of our minds that know things below our conscious awareness. This kind of mental processing goes by various names, including gut feeling, intuition, rapid cognition, thinking without thinking, thin slicing, and System 1. We built blnqr to get access to that mental process by asking people to make simple choices quickly. There is debate around the differences between "fast explicit" and "true implicit" cognition, but we know that people answer differently when faced with a situation where they have to react and not think. These differences are always characteristic of System 1 processes.

what is System 1 thinking?

System 1 and System 2 are labels for our two modes of thinking. As described by Daniel Kahneman in his book Thinking, Fast and Slow, "System 1 operates automatically and quickly, with little or no effort and no sense of voluntary control" (20).

how is blnqr related to traditional data collection in the social sciences?

You can think of some blnqrs as mobile web-based data collection instruments. They much better than traditional modalities such as in-person interview, phone, and mail, whether computer assisted or not, in terms of response rates, poor question wording, and context bias. 

what evidence is there that blnqr collects intuitive data?

Studies have shown that higher-level cognitive activity requires at least two seconds

are blnqrs better than surveys?

The Total Survey Error (TSE) model is used in the modern field of survey data collection and analytics to describe and control sources of error (variance and bias) in surveys. We will continue to provide blog posts on the subject of TSE, but overall we feel that blnqr provides huge improvements in almost all sources of error, especially nonresponse error and validity.

where can I learn more about rapid cognition?

An excellent popular treatment of the concept is Malcolm Gladwell's work Blink: the Power of Thinking Without Thinking. A much longer, more detailed, and scientific treatment is Daniel Kahneman, Thinking, Fast and Slow. blnqr the product is even more inspired by the work of Gerd Gigerenzer, who is less concerned with overcoming biases and more interested in learning what System 1 has to offer. A good example of his work is Gut Feelings: The Intelligence of the Unconscious.

what about neuroscience?

blnqr would not be possible without the spectacular growth of neuroscience over the past 30 years and its diversification into fields such as neuroeconomics, which is the neuroscience of consumer choices. This field has identified some of the neurological correlates of cognitive activity that were previously only philosophical concepts.


what are the practical applications of blnqr?

for restaurant owners who want to get into the heads of their customers...

blnqr is a mobile app that asks diners to "go with their gut," collecting opinions and preferences in a fun way. Unlike traditional point of purchase surveys, blnqr is fast, reliable, fun, and not subject to many of the problems associated with traditional customer surveys such as sample frame bias, satisficing, speeding, and recall error.

for youth sports organizations who want to improve officiating...

blnqr is a feedback platform offering social data collection based on rapid cognition. Unlike traditional social media, blnqr engages the fans in a game-like experience that guarantees their voice will be heard.

for expectant parents who want to talk about baby names...

blnqr is a fun and playful way to get input from friends and family. People can give their thoughts by choosing quickly between pairs based on a list of names that you upload. You can give them the ability to add a suggested name. Or not.

for the Game of Thrones superfan...

blnqr is a way to express your creativity and show that you can make an excellent fandom quiz. Unlike Buzzfeed, you are in control. Create an account, upload photos or words as criteria, link them to answers in the way you want, and share.

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