* Testosterone-Propionate is optimal but Testosterone-Cypionate or Testosterone-Enanthate can be used if the Propionate is a problem for you.
* Trenbolone-Acetate will really set this cycle off more so than any steroid in the stack. If you respond poorly to the hormone you might replace it with Masteron-Propionate at a dosing of 300mg per week; three injections of 100mg each.
* While Equipoise on its own is not a great mass builder, coupled with Testosterone-Propionate and the initial Dianabol use you will produce some very solid gains and see your strength increase very nicely. Further, EQ will promote a more conditioned look while you’re still growing.
* Arimidex may not be needed for some but most will be best served with this low dose. If aromatase related side-effects become a problem you will need to increase the dose to 1mg/eod and in most all men this will eliminate the problems.
* How much weight can you gain from this cycle? That’s a hard question to answer; it will greatly depend on how high your calorie intake is. If you are eating a maintenance level diet you may be able to put on 7-10lbs of tissue, this is excluding any water weight that might come with the Dianabol but any water weight will dissipate shortly after it’s discontinued. Further, the Arimidex will greatly help control this issue. Moreover, the higher your carb intake is above necessity the more water you’ll probably hold.
This is an investigation of whether the real world behaves as predicted by the hypothesis. Scientists (and other people) test hypotheses by conducting experiments . The purpose of an experiment is to determine whether observations of the real world agree with or conflict with the predictions derived from a hypothesis. If they agree, confidence in the hypothesis increases; otherwise, it decreases. Agreement does not assure that the hypothesis is true; future experiments may reveal problems. Karl Popper advised scientists to try to falsify hypotheses, ., to search for and test those experiments that seem most doubtful. Large numbers of successful confirmations are not convincing if they arise from experiments that avoid risk.  Experiments should be designed to minimize possible errors, especially through the use of appropriate scientific controls . For example, tests of medical treatments are commonly run as double-blind tests . Test personnel, who might unwittingly reveal to test subjects which samples are the desired test drugs and which are placebos , are kept ignorant of which are which. Such hints can bias the responses of the test subjects. Furthermore, failure of an experiment does not necessarily mean the hypothesis is false. Experiments always depend on several hypotheses, ., that the test equipment is working properly, and a failure may be a failure of one of the auxiliary hypotheses. (See the Duhem–Quine thesis .) Experiments can be conducted in a college lab, on a kitchen table, at CERN's Large Hadron Collider , at the bottom of an ocean, on Mars (using one of the working rovers ), and so on. Astronomers do experiments, searching for planets around distant stars. Finally, most individual experiments address highly specific topics for reasons of practicality. As a result, evidence about broader topics is usually accumulated gradually.