Spreadsheets can be viewed as a highly flexible programming environment for end users.
Abreu, et al (2015)
Spreadsheets are extraordinarily and unacceptably prone to error.
Dunn (2010)
Spreadsheet development must embrace extensive testing in order to be taken seriously as a profession.
Bock (2016)
The quality and reliability of spreadsheets is known to be poor.
Bishop & McDaid (2007)
Spreadsheets are the most popular live programming environments, but they are also notoriously fault-prone.
Hermans & van der Storm (2015)
...few incidents of spreadsheet errors are made public and these are usually not revealed by choice.
Kruck & Sheetz (2001)
Research on spreadsheet errors is substantial, compelling, and unanimous.
Panko (2015)
Spreadsheets are alarmingly error-prone to write.
Paine (2001)
Spreadsheets have a notoriously high number of faults.
Rust, et al (2006)
94% of the 88 spreadsheets audited in 7 studies have contained errors.
Panko (2008)
The results given by spreadsheets are often just wrong.
Sajaniemi (1998)
Spreadsheet errors are pervasive, stubborn, ubiquitous and complex.
Irons (2003)
Spreadsheets are more fault-prone than other software.
Kulesz & Ostberg (2013)
Most executives do not really check or verify the accuracy or validity of [their] spreadsheets...
Teo & Tan (1999)
Spreadsheets contain errors at an alarmingly high rate.
Abraham, et al (2005)
Spreadsheet errors are still the rule rather than the exception.
Nixon & O'Hara (2010)
Spreadsheet errors have resulted in huge financial losses.
Abraham & Erwig (2007)
A lot of decisions are being made on the basis of some bad numbers.
Ross (1996)
Spreadsheet errors... a great, often unrecognised, risk to corporate decision making & financial integrity.
Chadwick (2002)
Errors in spreadsheets are as ubiquitous as spreadsheets themselves.
Colbenz (2005)
The software that end users are creating... is riddled with errors.
Burnett & Myers (2014)
A significant proportion of spreadsheets have severe quality problems.
Ayalew (2007)
Despite being staggeringly error prone, spreadsheets are a highly flexible programming environment.
Abreu, et al (2015)
1% of all formulas in operational spreadsheets are in error.
Powell, Baker, & Lawson (2009)
Spreadsheets are often hard, if not impossible, to understand.
Mireault & Gresham (2015)
Spreadsheets... pose a greater threat to your business than almost anything you can imagine.
Howard (2005)
Every study that has looked for errors has found them... in considerable abundance.
Panko & Halverson (1996)
The untested spreadsheet is as dangerous and untrustworthy as an untested program.
Price (2006)
Overconfidence is one of the most substantial causes of spreadsheet errors.
Sakal, et al (2015)
Spreadsheets are dangerous to their authors and others.
Durusau & Hunting (2015)
60% of large companies feel 'Spreadsheet Hell' describes their reliance on spreadsheets.
Murphy (2007)
It is irrational to expect large error-free spreadsheets.
Panko (2013)
Spreadsheet shortcomings can significantly hamper an organization's business operation.
Reschenhofer & Matthes (2015)
Spreadsheets are commonly used and commonly flawed.
Caulkins, Morrison, & Weidemann (2008)
Errors in spreadsheets... result in incorrect decisions being made and significant losses incurred.
Beaman, et al (2005)
People tend to believe their spreadsheets are more accurate than they really are.
Caulkins, Morrison, & Weidemann (2006)
The issue is not whether there is an error but how many errors there are and how serious they are.
Panko (2007)
Untested spreadsheets are riddled with errors.
Miller (2005)
Most large spreadsheets have dozens or even hundreds of errors.
Panko & Ordway (2005)
Even obvious, elementary errors in very simple, clearly documented spreadsheets are... difficult to find.
Galletta, et al (1993)
Spreadsheets are easy to use and very hard to check.
Chen & Chan (2000)
Despite overwhelming and unanimous evidence... companies have continued to ignore spreadsheet error risks.
Panko (2014)
It is now widely accepted that errors in spreadsheets are both common and potentially dangerous.
Nixon & O'Hara (2010)
Developing an error-free spreadsheet has been a problem since the beginning of end-user computing.
Mireault (2015)
Never assume a spreadsheet is right, even your own.
Raffensperger (2001)
Studies have shown that there is a high incidence of errors in spreadsheets.
Csernoch & Biro (2013)
Spreadsheets are notoriously error-prone.
Cunha, et al (2011)
Programmers exhibit unwarranted confidence in the correctness of their spreadsheets.
Krishna, et al (2001)
Every study, without exception, has found error rates much higher than organizations would wish to tolerate.
Panko (1999)
Your spreadsheets may be disasters in the making.
Caulkins, Morrison, & Weidemann (2006)

Spreadsheet bibliography

Title Teaching methods are erroneous: Approaches which lead to erroneous end-user computing
Authors Maria Csernoch & Piroska Biro
Year 2016
Type Proceedings
Publication EuSpRIG
Series July, page 1-14
Abstract

If spreadsheets are not erroneous then who, or what, is? Research has found that end-users are.

If end-users are erroneous then why they are? Research has found that responsibility lies with human beings' fast and slow thinking modes and the inappropriate way they use them.

If we are aware of this peculiarity of human thinking, then why do we not teach students how to train their brains? This is the main problem, this is the weakest link in the process; teaching.

We have to make teachers realize that end-users are erroneous because of the erroneous teaching approaches to end-user computing. The proportion of fast and slow thinking modes is not constant, and teachers are mistaken when they apply the same proportion in both the teaching and end-user roles.

Teachers should believe in the incremental nature of science and have high self-efficacy to make students understand and appreciate science. This is not currently the case in ICT and CS, and it is high time fundamental changes were introduced.

Full version Available
Sample
Computer problem solving approaches and mathability level
Computer problem solving approaches and mathability level

There is a close connection between the higher mathability level approaches and the types of thinking required.

This figure shows how computer problem solving approaches can be matched with the mathability level of problem solving and software tools.

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