The consumer goods Killer App -KILLED

A consumer goods bar code scannerFinally a real KILLER APP. A free iPhone application called the Good Guide lets you scan the barcodes of (eventually) every consumer good to learn immediately its goodness rating on a scale of 0-10. No more Consumer Report printouts, mental notes or improvisational evaluation. The Good Guide score is the synthesis of three criteria, the ratings for which are also shown: health, environment and social. How healthy is this item? How environmentally friendly? And how socially-responsible is the producer? Notably missing is a ranking for price, sidestepping the inescapable real world cost vs. benefit compromise.

UPDATE: FALSE HOPE ALARM. So far the products itemized by the GoodGuide are the General Mills variety, all of them rank highly. There’s a sugared cinnamon cereal that gets a 10 for health. Hoho.

According to an article in Grist, GoodGuide emerged from a project called TAO IT, created by Dara O’Rourke, associate professor at UC Berkeley’s Department of Environmental Science, Management and Policy. Goodguide’s aim sounds like a watchdog function better administrated by a regulatory agency. I can already see industry lobbyists setting up offices to influence the GoodGuide analysts.

A lot will depend on the transparency of the GoodGuide benchmarks and the objective distance they can keep from market interests. For example, the PR budget of one conglomerate alone could create a faux ratings mechanism to usurp GoogGuide as consumers-aid du jour. A recent processed food industry Smart Choices badge comes to mind.

The GoodGuide evaluation policies do give a good impression.

GoodGuide aggregates and analyzes data on both product and company performance. We employ a range of scientific methods – health hazard assessment, environmental impact assessment, and social impact assessment – to identify major impacts to human health, the environment, and society. Each of these categories is then further analyzed within specific issue areas, such as climate change policies, labor concerns, and product toxicity. Currently, GoodGuide’s database has over 600 base criteria by which we evaluate products and companies.

Health Performance
As an example, for health performance, GoodGuide’s system takes into account both the impacts of a company’s operations on its workers and local communities, and the impacts of using a specific product on your health. Our team has gathered data on important health hazards such as:

• Cancer risks
• Reproductive health hazards
• Mutagenicity
• Endocrine disruption
• Respiratory hazards
• Skin and eye irritation

Our research currently uses a simplified health hazard assessment process that allows us to rate thousands of products along standard criteria. It should be noted that while these ratings are not risk assessments of products or chemicals, they do highlight potential hazards associated with the use of these products.

Environmental Performance
For environmental performance, GoodGuide is aggregating data on the life-cycle impacts of products, from manufacturing to transportation to use to final disposal. For companies, impact categories include:

• Environmental emissions and their impacts on air, water, land, and climate
• Natural resource impacts
• Environmental management programs

GoodGuide uses these categories to generate overall environmental performance ratings for companies.

Social Performance
For social issues, GoodGuide aggregates data on the social impacts companies have on their employees:

• Compensation
• Labor and human rights practices
• Diversity policies
• Working conditions

In addition to impacts on employees, Social Performance ratings consider impact on consumers and communities. The social scoring system also brings together information on corporate governance, disclosure policies, and overall practices.

OUR RATINGS

Types of Information
Different types of information flow into GoodGuide’s system: absolute measures, relative measures, and binary measures. Absolute measures describe measurable activities of a company or product. For example, the pounds of toxic air emissions released per year, the CEO’s salary, or the amount of money a company donated to charity. Relative measures are scores, such as a numerical grade of “6.5 out of 10” or a textual grade of “bad” to “excellent.” Binary (or Yes/No) measures indicate whether a product or company does or does not have specific characteristics. For example, a product may or may not have earned an environmental certification, or a company may or may not test its products on animals.

The GoodGuide Rating
These measures are then used to create GoodGuide’s ratings. To calculate a single rating for a product or company, we convert all of the existing measures into a 0 to 10 score. In GoodGuide’s system, a score of 10 is the best and a score of 0 is the worst. Products and companies are rated relative to the performance of similar products or companies in the same industry.

The initial ratings are based on a set of selected criteria from a broad pool of data available within the GoodGuide database. We think these criteria are some of the most representative and understandable. As this is the first time all of this data has ever been aggregated in the same place, we are currently working to assess the consistency and comparability of measures across our many data sources. We would love to hear your suggestions on the relative importance of these various measures of product and company performance.

GoodGuide recognizes that even the most quantitative assessment of environmental, health, or social issues requires value judgments about the relative importance of various issues. For example, rational people can disagree over the relative importance of animal testing in evaluating a product or company. We have used our best scientific judgment in building our current ratings, and in future versions we will flag issues where personal values and preferences are particularly relevant. We will then enable people to create personalized ratings based on their own concerns.

In order to facilitate your ability to assess the data, we will also be providing an assessment of data uncertainty, completeness, and quality. These assessments can be used to weight the existing data within the GoodGuide database.

Incomplete Data
In some cases data is unavailable for a company or a product. This may be because we have not yet identified a credible data source for a given issue or topic. It may also be that the data is not publicly available because companies have not disclosed critical information. One goal of this project is to work collaboratively with key stakeholders around the world, including government agencies, non-profit organizations, private research firms, and companies to promote the quantity and quality of disclosure of important data to the public.

Learn more about GoodGuide’s methodology.

Best cookie ever

All your bases are belong to usWhen Consumer Reports Magazine set out to rate commercial chocolate chip cookies against each other, they needed a benchmark. To that end they hired professional bakers to optimize a chocolate chip cookie recipe. Because the cookie itself was a cultural convention, it was perhaps no surprise that reverse engineering backed them into the conventional Tollhouse Cookie recipe. But with a couple twists.

First, the use of dark brown sugar as opposed to regular, second, the addition of vanilla extract, third, unsalted sweet butter, and fourth, particular care in mixing the ingredients.

It wasn’t as simple as throwing everything into the bowl. Each addition would be mixed at slow speed for a specified time with a high speed burst at the end. Texture seemed to make the critical distinction. If you’re going to start now, you’ll have to wait until the butter is room temperature.

What follows is the CONSUMER REPORTS recipe, first published in 1982.

We wanted a cookie with a chewy interior, crunchy edges, well-blended flavor, and a high overall chocolate impact . –Consumer Reports Magazine

2-1/4 Cups Flour
1 level Teaspoon Baking Soda
1 level Teaspoon Salt
3/4 Cup White Sugar
3/4 Cup Packed Dark Brown Sugar
2 sticks (1/2 pound) Sweet Butter, room temperature
1 teaspoon Vanilla Extract
2 Large Eggs
12-ounce Semisweet Chocolate Chips

Preheat oven to 375F.

Mix the flour, baking soda and salt in a bowl and set aside.

Use a stand-type electric mixer to mix the two sugars briefly at low speed.

Add the butter in small gobbets, mixing first at low speed and then at high. Beat the mixture until it’s pale, light, and very fluffy. Add the vanilla at the mixer’s lowest speed, then beat at high speed for a few seconds.

Add the eggs, again at the lowest speed, switching to high speed for the final second or so. The eggs should be well beaten in, and the mix should look creamed, not curdled.

Add the flour mixture, a half cup at a time, mixing at low speed for about one minute, then at high speed for a few seconds.

Scrape down the bowl’s sides with a spatula, add the chocolate chips, and mix at low speed for about 10 seconds. If need be, scrape the bowl’s sides again and mix for a few more seconds.

Put tablespoons of the mix on an ungreased cookie sheet.

Bake until the cookies are pale golden brown (nine minutes in an electric oven, 10 to 11 minutes in a gas one).

Remove and let cool on a rack.

Makes about 30 medium cookies.