Warning: This is a long post, and it’s a rough draft for a future podcast episode. But it’s something I’ve wanted to write about for a long time.
Richard C. Hoagland has claimed now for at least a decade that there exists a “hyperdimensional torsion physics” which is based partly on spinning stuff. In his mind, the greater black governmental forces know about this and use it and keep it secret from us. It’s the key to “free energy” and anti-gravity and many other things.
Some of his strongest evidence is based on the frequency of a tuning fork inside a 40+ year-old watch. The purpose of this post is to assume Richard is correct, examine how an experiment using such a watch would need to be designed to provide evidence for his claim, and then to examine the evidence from it that Richard has provided.
Richard has often stated, “Science is nothing if not predictions.” He’s also stated, “Science is nothing if not numbers” or sometimes “… data.” He is fairly correct in this statement, or at least the first and the last: For any hypothesis to be useful, it must be testable. It must make a prediction and that prediction must be tested.
Over the years, he has made innumerable claims about what his hyperdimensional or torsion physics “does” and predicts, though most of his predictions have come after the observation which invalidates them as predictions, or at least it renders them useless.
In particular, for this experiment we’re going to design, Hoagland has claimed that when a mass (such as a ball or planet) spins, it creates a “torsion field” that changes the inertia of other objects; he generally equates inertia with masss. Inertia isn’t actually mass, it’s the resistance of any object to a change in its motion. For our purposes here, we’ll even give him the benefit of the doubt, as either one is hypothetically testable with his tuning fork -based watch.
So, his specific claim, as I have seen it, is that the mass of an object will change based on its orientation relative to a massive spinning object. In other words, if you are oriented along the axis of spin of, say, Earth, then your mass will change one way (increase or decrease), and if you are oriented perpendicular to that axis of spin, your mass will change the other way.
Let’s simplify things even further from this more specific claim that complicates things: An object will change its mass in some direction in some orientation relative to a spinning object. This is part of the prediction we need to test.
According to Richard, the other part of this prediction is that to actually see this change, big spinning objects have to align in order to increase or decrease the mass from what we normally see. So, for example, if your baseball is on Earth, it has its mass based on it being on Earth as Earth is spinning the way it does. But, if, say, Venus aligns with the sun and transits (as it did back in July 2012), then the mass will change from what it normally is. Or, like during a solar eclipse. This is the other part of the prediction we need to test.
Hoagland also has other claims, like you have to be at sacred or “high energy” sites or somewhere “near” ±N·19.5° on Earth (where N is an integer multiple, and “near” means you can be ±8° or so from that multiple … so much for a specific prediction). For example, this apparently justifies his begging for people to pay for him and his significant other to go to Egypt last year during that Venus transit. Or taking his equipment on December 21, 2012 (when there wasn’t anything special alignment-wise…) to Chichen Itza, or going at some random time to Stonehenge. Yes, this is beginning to sound even more like magic, but for the purposes of our experimental design, let’s leave this part alone, at least for now.
Designing an Experiment: Equipment
“Expat” goes into much more detail on the specifics of Hoagland’s equipment, here.
To put it briefly, Richard uses a >40-year-old Accutron watch which has a small tuning fork in it that provides the basic unit of time for the watch. A tuning fork’s vibration rate (the frequency) is dependent on several things, including the length of the prongs, material used, and its moment of inertia. So, if mass changes, or its moment of inertia changes, then the tuning fork will change frequency. Meaning that the watch will run either fast or slow.
The second piece of equipment is a laptop computer, with diagnostic software that can read the frequency of the watch, and a connection to the watch.
So, we have the basic setup with a basic premise: During an astronomical alignment event, Hoagland’s Accutron watch should deviate from its expected frequency.
Designing an Experiment: Baseline
After we have designed an experiment and obtained equipment, usually the bulk of time is spent testing and calibrating that equipment. That’s what would need to be done in our hypothetical experiment here.
What this means is that we need to look up when there are no alignments that should affect our results, and then hook the watch up to the computer and measure the frequency. For a long time. Much longer than you expect to use the watch during the actual experiment.
You need to do this to understand how the equipment acts under normal circumstances. Without that, you can’t know if it acts differently – which is what your prediction is – during your time when you think it should. For example, let’s say that I only turn on a special fancy light over my special table when I have important people over for dinner. I notice that it flickers every time. I conclude that the light only flickers when there are important people there. Unfortunately, without the baseline measurement (turning on the light when there AREN’T important people there and seeing if it flickers), then my conclusion is invalidated.
So, in our hypothetical experiment, we test the watch. If it deviates at all from the manufacturer’s specifications during our baseline measurements (say, a 24-hour test), then we need to get a new one. Or we need to, say, make sure that the cables connecting the watch to the computer are connected properly and aren’t prone to surges or something else that could throw off the measurement. Make sure the software is working properly. Maybe try using a different computer.
In other words, we need to make sure that all of our equipment behaves as expected during our baseline measurements when nothing that our hypothesis predicts should affect it is going on.
Lots of statistical analyses would then be run to characterize the baseline behavior to compare with the later experiment and determine if it is statistically different.
Designing an Experiment: Running It
After we have working equipment, verified equipment, and a well documented and analyzed baseline, we then perform our actual measurements. Say, turn on our experiment during a solar eclipse. Or, if you want to follow the claim that we need to do this at some “high energy site,” then you’d need to take your equipment there and also get a baseline just to make sure that you haven’t broken your equipment in transit or messed up the setup.
Then, you gather your data. You run the experiment in the exact same way as you ran it before when doing your baseline.
In our basic experiment, with our basic premise, the data analysis should be fairly easy.
Remember that the prediction is that, during the alignment event, the inertia of the tuning fork changes. Maybe it’s just me, but based on this premise, here’s what I would expect to see during the transit of Venus across the sun (if the hypothesis were true): The computer would record data identical to the baseline while Venus is away from the sun. When Venus makes contact with the sun’s disk, you would start to see a deviation that would increase until Venus’ disk is fully within the sun’s. Then, it would be at a steady, different value from the baseline for the duration of the transit. Or perhaps increase slowly until Venus is most inside the sun’s disk, then decreasing slightly until Venus’ limb makes contact with the sun’s. Then you’d get a rapid return to baseline as Venus’ disk exits the sun’s and you’d have a steady baseline thereafter.
If the change is very slight, this is where the statistics come in: You need to determine whether the variation you see is different enough from baseline to be considered a real effect. Let’s say, for example, during baseline measurements the average frequency is 360 Hz but that it deviates between 357 and 363 fairly often. So your range is 360±3 Hz (we’re simplifying things here). You do this for a very long time, getting, say, 24 hrs of data and you take a reading every 0.1 seconds, so you have 864,000 data points — a fairly large number from which to get a robust statistical average.
Now let’s say that from your location, the Venus transit lasted only 1 minute (they last many hours, but I’m using this as an example; bear with me). You have 600 data points. You get results that vary around 360 Hz, but it may trend to 365, or have a spike down to 300, and then flatten around 358. Do you have enough data points (only 600) to get a meaningful average? To get a meaningful average that you can say is statistically different enough from 360±3 Hz that this is a meaningful result?
In physics, we usually use a 5-sigma significance, meaning that, if 360±3 Hz represents our average ± 1 standard deviation (1 standard deviation means that about 68% of the datapoints will be in that range), then 5-sigma is 360±15 Hz. 5-sigma means that 99.999927% of the data will be in that range. This means that, to be a significant difference, we have to have an average during the Venus transit of, say, 400±10 Hz (where 1-sigma = 2 here, so 5-sigma = 10 Hz).
Instead, in the scenario I described two paragraphs ago, you’d probably get an average around 362 with a 5-sigma of ±50 Hz. This is NOT statistically significant. That means the null hypothesis – that there is no hyperdimensional physics -driven torsion field – must be concluded.
How could you get better statistics? You’d need different equipment. A turning fork that is more consistently 360 Hz (so better manufacturing = more expensive). A longer event. Maybe a faster reader so instead of reading the turning fork’s frequency every 0.1 seconds, you can read it every 0.01 seconds. Those are the only ways I can think of.
Despite what one may think or want, regardless of how extraordinary one’s results are, you have to repeat them. Over and over again. Preferably other, independent groups with independent equipment does the repetition. One experiment by one person does not a radical change in physics make.
What Does Richard Hoagland’s Data Look Like?
I’ve spent an excruciating >1700 words above explaining how you’d need to design and conduct an experiment with Richard’s apparatus and the basic form of his hypothesis. And why you have to do some of those more boring steps (like baseline measurements and statistical analysis).
To-date, Richard claims to have conducted about ten trials. One was at Coral Castle in Florida back I think during the 2004 Venus transit, another was outside Alburqueque in New Mexico during the 2012 Venus transit. Another in Hawai’i during a solar eclipse, another at Stonehenge during something, another in Mexico during December 21, 2012, etc., etc.
For all of these, he has neither stated that he has performed baseline measurements, nor has he presented any such baseline data. So, right off the bat, his results – whatever they are – are meaningless because we don’t know how his equipment behaves under normal circumstances … I don’t know if the light above my special table flickers at all times or just when those important people are over.
He also has not shown all his data, despite promises to do so.
Here’s one plot that he says was taken at Coral Castle during the Venus transit back in 2004, and it’s typical of the kinds of graphs he shows, though this one has a bit more wiggling going on:
My reading of this figure shows that his watch appears to have a baseline frequency of around 360 Hz, as it should. The average, however, states to be 361.611 Hz, though we don’t know how long that’s an average. The instability is 12.3 minutes per day, meaning it’s not a great watch.
On the actual graph, we see an apparent steady rate at around that 360 Hz, but we see spikes in the left half that deviate up to around ±0.3 Hz, and then we see a series of deviations during the time Venus is leaving the disk of the sun. But we see that the effect continues AFTER Venus is no longer in front of the sun. We see that it continues even more-so than during that change from Venus’ disk leaving the sun’s and more than when Venus was in front of the sun. We also see that the rough steady rate when Venus is in front of the sun is the same Hz as the apparent steady rate when Venus is off the sun’s disk.
From the scroll bar at the bottom, we can also see he’s not showing us all the data he collected, that he DID run it after Venus exited the sun’s disk, but we’re only seeing a 1.4-hr window.
Interestingly, we also have this:
Same location, same Accutron, some of the same time, same number of samples, same average rate, same last reading.
But DIFFERENT traces that are supposed to be happening at the same time! Maybe he mislabeled something. I’d prefer not to say that he faked his data. At the very least, this calls into question A LOT of his work in this.
What Conclusions Can Be Drawn from Richard’s Public Data?
As I stated above, the lack of any baseline measurements automatically mean his data is useless because we don’t know how the watch acts under “normal” circumstances.
That aside, looking at his data that he has released in picture form (as in, we don’t have something like a time-series text file we can graph and run statistics on), it does not behave as one would predict from Richard’s hypothesis.
Other plots he presents from other events show even more steady state readings and then spikes up to 465 Hz at random times during or near when his special times are supposed to be. None of those are what one would predict from his hypothesis.
What Conclusions does Richard Draw from His Data?
“stunning ‘physics anomalies'”
“staggering technological implications of these simple torsion measurements — for REAL ‘free energy’ … for REAL ‘anti-gravity’ … for REAL ‘civilian inheritance of the riches of an entire solar system …'”
“These Enterprise Accutron results, painstakingly recorded in 2004, now overwhelmingly confirm– We DO live in a Hyperdimensional Solar System … with ALL those attendant implications.”
First, as with all scientific endeavors, please let me know if I’ve left anything out or if I’ve made a mistake.
With that said, I’ll repeat that this is something I’ve been wanting to write about for a long time, and I finally had the three hours to do it (with some breaks). The craziness of claiming significant results from what – by all honest appearances – looks like a broken watch is the height of gall, ignorance, or some other words that I won’t say.
With Richard, I know he knows better because it’s been pointed out many times that what he needs to do to make his experiment valid.
But this also gets to a broader issue of a so-called “amateur scientist” who may wish to conduct an experiment to try to “prove” their non-mainstream idea: They have to do this extra stuff. Doing your experiment and getting weird results does not prove anything. This is also why doing science is hard and why maybe <5% of it is the glamorous press release and cool results. So much of it is testing, data gathering, and data reduction and then repeating over and over again.
Richard (and others) seem to think they can do a quick experiment and then that magically overturns centuries of "established" science. It doesn't.