How to Reduce (or Even Eliminate!) Dependence on Diabetes Medication

According to a group of the world's leading authorities, it's true…

People are reversing diabetes.

How do they know?

...because they have witnessed it time and time again.

==> Watch the Astonishing Secret of Former Diabetics

And they didn't even do it using insulin, pills or fat diets…

If you or a loved one is fighting diabetes, this discovery could save your life.

Imagine the possibility of treating and potentially eliminating the disease permanently.

What would it mean for you to have this method in your hands today?

Skeptical? I was too – until I saw the proof here:

==> Uncover How One Man Discovered The Truth About Successfully Treating Type 2 Diabetes

lanning the research, including finding the number of replicates of the study, using the following information: preliminary estimates regarding the size of treatment effects, alternative hypotheses, and the estimated experimental variability. Consideration of the selection of experimental subjects and the ethics of research is necessary. Statisticians recommend that experiments compare (at least) one new treatment with a standard treatment or control, to allow an unbiased estimate of the difference in treatment effects. Design of experiments, using blocking to reduce the influence of confounding variables, and randomized assignment of treatments to subjects to allow unbiased estimates of treatment effects and experimental error. At this stage, the experimenters and statisticians write the experimental protocol that will guide the performance of the experiment and which specifies the primary analysis of the experimental data. Performing the experiment following the experimental protocol and analyzing the data following the experimental protocol. Further examining the data set in secondary analyses, to suggest new hypotheses for future study. Documenting and presenting the results of the study. Experiments on human behavior have special concerns. The famous Hawthorne study examined changes to the working environment at the Hawthorne plant of the Western Electric Company. The researchers were interested in determining whether increased illumination would increase the productivity of the assembly line workers. The researchers first measured the productivity in the plant, then modified the illumination in an area of the plant and checked if the changes in illumination affected productivity. It turned out that productivity indeed improved (under the experimental conditions). However, the study is heavily criticized today for errors in experimental procedures, specifically for the lack of a control group and blindness. The Hawthorne effect refers to finding that an outcome (in this case