The scientist in me would love nothing more than to whip out some fancy number like 232.3% increase in grants funded….
But the reality is, getting a number like that is:
a) A costly, difficult, long-term proposition to do it correctly; and
b) Subject to many potential biases that would play into how it is calculated, rendering it meaningless.
The only way we could scientifically get a true measure of efficacy is to have an unbiased, comparative third-party study of several grant writing trainings over a period of 10+ years, that includes a control group and several test groups monitored over time. If such a study were to arise, I'd be pleased to participate in it! I am confident - based on past student feedback - that I'd do very well in such a study.
I certainly do collect success stories, and if you watched my previous three videos, I shared a few of them with you. There are many more that I didn't have time or space to share (and, frankly, my inbox is so jam-packed that it takes time to track those emails down - time that could be better spent helping you).
"Failure" is much harder to quantify. If someone fails, why did they fail? The most common reason I've seen has nothing to do with me: it's because they sign up for a course, then don't participate or do the work!
The bottom line is that I am not going to throw out some fake number at you about "success rates" - and if anyone else in the grant writing market is giving you such numbers, I'd treat them as highly suspect.
What I'll throw out instead is this question:
Is the success of a student about how well the teacher teaches, or how well the student learns and applies that learning?
You've seen my free work by now. You know what you'd be getting with me as a teacher. So the only real question you have to ask is this: what kind of student will I be? Will I maximize this opportunity, or not?
Because I'm going to show you what works: specifically, what has worked for me, and what has worked for my students and collaborators - in fields as diverse as Biochemistry, Microbiology, Computer Science, Chemistry, Genomics, Proteomics, Human Behavior, Psychology, Cancer, and many more. It is up to you to apply it.