Exposing PseudoAstronomy

January 2, 2017

Still No ET Disclosure!

I was listening to some very old Coast to Coast AM shows last night, from May of 2001. Richard Hoagland was a very frequent guest at that time (he has since been banned, but that’s an entirely different story). In this particular broadcast, Richard claimed that his statement in 2000 that 2001 would be “the year of disclosure” was completely accurate and he’d bet the farm on it.

In this context, “disclosure” means that the US government would officially admit that everything Richard has said about ancient civilizations existing throughout the solar system is true.

He said the same thing about 2010, 2011, and 2012. He said in 2013 that 2012 was the year of disclosure. He’s repeated since then that each year would be the year of disclosure.

He appeared on Howard Hughes’ “The Unexplained” a few weeks ago and claimed that President Obama, on January 1, 2017, in the afternoon, would reveal ET life had been found because it was 19.5 days from when he would no longer be in office (thanks for the tip from @JenniferRaff). (See here and here for why 19.5 is important to Richard.)

It’s January 2, in the afternoon as I write this. Still nothing.

The question is, how long are people going to continue to buy into those who continuously make false, charlatan-like statements? I, unfortunately, have a very dim outlook on the answer to that rhetorical question.

UFO in Washington (The Day the Earth Stood Still)

UFO in Washington (The Day the Earth Stood Still)

March 15, 2016

Neat Animation of Moon’s North Pole with LASER Altimetry – And Artifacts

I’ll be attending a µSymposium before the Lunar and Planetary Science Conference this coming weekend, and I just got a reminder e-mail today. Included in that e-mail was a link to an animation that shows Shackleton crater, a crater that is ON the moon’s north pole. As such, its interior is in permanent shadow.

BUT!! The Lunar Orbiter Laser Altimeter instrument (LOLA) on the Lunar Reconnaissance Orbiter (LRO) has plenty of data that allow it to be viewed: Click Me!.

I find this very neat — until the last decade, we could never see stuff in permanent shadow because we didn’t have the instrumentation. LOLA and LROC have allowed us to do that. And there are thousands of craters in permanent shadow on the moon that may hide water (which is what I’ll be presenting at the µSymposium).

For reference, the north pole of the moon is just about smack dab at the 10:30 position on the large crater’s rim. Just inside the rim, along a line from that small crater just outside the rim to the center of the crater.

But for pseudoscience, you may also notice that there are some artifacts in the data. There are radial streaks from the center of the frame (usually). There’s a prominent one diagonally from upper right to lower left on the upper wall of Shackleton itself. Others are more prominent towards the edges of the animation.

These are not lunar roads nor subways nor trollies nor anything else made by an ancient civilization. They are artifacts in the data itself. LOLA is very well calibrated, and the “average” (root-mean-square) uncertainty is under 5 meters in elevation data. But some tracks (orbits) are a bit off. And since LOLA is fundamentally measuring the time it takes light to bounce off the surface from a laser beam from the craft, it needs to know exactly where the craft was to get an accurate surface elevation.

And some are off by a bit. These manifest in this kind of product as ridges or troughs that are perfectly in a straight line, along the line of the orbital track. It’s something that scientists who use these data see and ignore because we know exactly what they are. But pseudoscientists will look at line artifacts like this, or at image seems in a mosaic, and claim things like they are artificial tram lines.

March 8, 2016

The Abuse of Paralipsis in Pseudoscience

I was reading an article tonight by a scholar of American political rhetoric who was philosophizing about why Donald Trump seems to be able to get away with saying things that no other candidate does. I personally don’t understand it (for example, how Trump can get away with saying that if he stood on 5th Ave. and shot someone, people would still vote for him), but I did learn a new word: Paralipsis.

The author of the article I was reading about Donald Trump described it as, “a device that enables him to publicly say things that he can later disavow – without ever having to take responsibility for his words.”

When I read that, I thought, “But pseudoscientists do that, too!” (Yes, I think in grammatically almost-correct sentences.) In fact, I wrote about this in 2010 with reference to Richard Hoagland and Neil Adams, and I mentioned the phenomenon a bit in my lengthy post last year about when I called into Richard’s radio program. In the latter, I addressed this phenomenon as Richard primarily manifests it by using the weasel term “model,” for “as Richard tends to implement it [the term ‘model’], it is a crutch to fall back on when he is shown to be undeniably wrong.”

I think my conclusion from that 2010piece is still quite apt, whether to politicians or pseudoscientists, but it’s nice now to have a word to stick onto the phenomenon:

“[Pseudoscientists] should stand behind what they say or not say it at all. Creating a whole elaborate “alternative” scenario, and then extolling the cop-out of, “But I’m not an expert, I’m just putting this out there,” and falling back on it when confronted is disingenuous, slippery, and sleazy. Pretending that you are effectively musing out loud when in fact you are actively and consistently promoting yourself is more annoying than the loud and proud true believers. At least they have the guts to really stand behind what they claim.”

March 5, 2016

Do as I Say, Not as I Do to Find “Real” Image Anomalies

I finally submitted my first paper for peer-review in practically two years — roughly 350 hours in the last roughly 2 months to analyze the data and write and edit a paper on the craters on Pluto, Charon, Nix and Hydra. So now, in preparation for the big Lunar and Planetary Science Conference in two weeks, I have a few months of other, lunar, work to do in the next 12 days.

So, I’ve started to catch up with Richard Hoagland’s “The Other Side of Midnight” program. The “barely lovable” (as Art Bell has said) folks over at BellGab pointed me to a particular evening of January 30, 2016, where Richard had some of his imaging guys (yes, all guys) on talking about how to expose fakes. As in, people who fake anomalies in space images.

You can probably imagine that my eyebrows did more than rise just a bit.

I’m less than 20 minutes into the episode and already I’ve spotted some of the most ridiculous duplicity in what they are saying. Richard Hoagland and Will Farrar are saying over and over again that you have to go to the original data before you can say anything is real or not.

And they’ve pointed out some good examples, like the anomalies in Hale crater on Mars are all caused by the 3D projection and image compression done by the Mars Express images and it’s not there in the originals.

I’ll say it again: Richard stated on this program that doing any analysis on anything BUT the original images is completely useless. In fact, here’s one example, at about 16 minutes 15 seconds into the recording:

Will Farrar: “They’re going to claim they didn’t go out to get the thing…”

Richard Hoagland: “They didn’t go out and get, what? The original data?”

WF: “The raw. Yeah, the raw data, that’s–”

RH: “Well then it’s pointless! You blow them away on that basis alone! You can’t do science on second, third, fourth, fifth sources, you gotta go to the original. That’s the first rule!”

Another example, about 29 minutes 50 seconds into my recording, jumping off of Keith Laney saying that the first thing to do is get the raw data, Richard stated, “Yeah, that’s the first thing we all do! When we see something interesting – those of who who know how to do this ’cause we’ve been at this awhile – the first thing you do is go and find the NASA original. … Find the original. Do not go by what’s on the web. Never ever just go by what’s on the web, unless it is connected to original data step by step by step.”

I’m not 100% sure what he means by that last “unless…” part, unless it’s his way of giving himself an out. It’s hopelessly vague, for anyone could say that any product they make where they find an anomaly is from the original data and they can tell you the step-by-step process to get there. This was also at least the fifth time he talked about this, but the first time he gave himself the “unless,” so let’s proceed without it.

(Almost) everything that Richard has promulgated over the last few years is based on non-original images. To just mention just three, for examples:

(1) Everything he and others have done with Pluto and Charon has been done with third-generation data, at best. That is, raw data (1st) compressed on the craft, either lossy or lossless (2nd), and the posted lossy (a second layer of lossy) on public websites (3rd). The first batch of truly raw data will be released in April 2016, and it will only be what was on Earth as of encounter. Therefore, by Richard’s own rules, every analysis that he and others have done finding anomalies on Pluto and Charon is “pointless.”

(2) Everything he and others have done with Ceres and claims of cities and crashed spacecraft … see example 1 above. I’m not on the Dawn team, so I don’t know when their first or second batch of raw data will be publicly released. Therefore, by Richard’s own rules, every analysis that he and others have done finding anomalies on Ceres is “pointless.”

(3) His analysis of Chang’e 3 images claiming that there are giant glass structures on the moon was done with JPG-compressed images published on Chinese military websites. Not raw data. He claimed that this was proof that his analysis of Apollo images (which were 5th generation, at best, it’s been estimated) showing giant glass towers on the moon was real. Therefore, by Richard’s own rules, every analysis that he and others have done claiming from Apollo and Chang-e 3 images that there are giant glass cities on the moon is “pointless.”

Well … that was fun.

P.S. Around 15 minutes into the second hour of the program, Richard stated that you can’t possibly do any analysis on anything that’s only 30 pixels across. Well then, Expat’s deconstruction notwithstanding, Richard’s own statement completely disqualifies “Data’s Head” that he thinks he found in an image from Apollo on the moon that he claims shows an android’s head. It’s perhaps 15 pixels across, max.

December 16, 2014

Podcast Episode 122: Comet 67P/Churyumov-Gerasimenko and Rosetta Conspiracies

Conspiracies of
Comet 67P …
Few, but they are weird.

A timely and listener-requested episode! What’s not to love!? In the episode I talk about several of the conspiracies I’ve seen surrounding the Rosetta mission and Comet 67P. From artificiality (Hoagland makes a guest appearance) to singing so as to raise our consciousness to angelic levels when 2012 failed, I spend nearly a half hour going through 2 to 4 claims (depending on how you count them) that have been making the rounds. I also get to touch on image analysis.

There is also one New News segment this episode, and it refers to the death of the Venus Express mission around (oddly enough) Venus. The news relates to the episodes on uncertainty. Not sure what the connection is? Listen to the episode! The episode also comes in at just over 30 minutes, my target length.

May 31, 2014

Announcing Vodcast 1 and Podcast 111: The Cydonia Region of Mars

Anomalies do
Abound, but, are they really
That rare, unus’al?

Welp, this is it! My first new attempt to create a video that I’m reasonably proud of and shows things the way I’d like them to be shown. On YouTube: You can click this link. Or, there’s a link to the 720p version here. And, of course, the link to the shownotes for the podcast version.

The differences are: On YouTube, you can view up to 1080p (“Hi-Def”), while the version released to the podcast feed is 720p, fewer pixels. The podcast (audio, episode 111) itself is an audio extension of the movie, explaining some of the math (or “maths” for peeps “across the pond”) in more detail and discussing one or two deleted scenes — additional bits that weren’t central to the story so didn’t make it into the final cut of the movie.

As I say at the end, I really do want feedback on this. If negative, then make it constructive. If you’re a fan of Richard Hoagland’s work, and you disagree with the movie, then let me know WHY, not just that you disagree because I’m wrong. That gets us no where and is useless.

And, if you like the movie, then make sure to share it around. Delusions of grandeur don’t manifest on their own, gosh darnit!

May 14, 2014

New Project Announcement: The Cydonia Region of Mars

Today, I am releasing the trailer for a project I have been working on for the last month. I’ve said for a long time I want to make more movies/animations related to the topics I discuss on this blog and podcast, and this is the first entry into that.

The movie itself will be about 15 minutes long, and I have been working with over a dozen volunteers who’ve been offering feedback to put this out come the end of the month. With a near-final version of the movie (just tweaks at this point), it’s a “for-sure” that I can get it out on May 31, so I’m putting up the trailer now.

Thanks to Steve Gibb for the quite dramatic music for the trailer. We wanted to have fun with the trailer, while the actual movie will be much more serious.

May 1, 2014

Is Camera Noise Evidence for Ancient Advanced Civilization on the Moon?


Richard C. Hoagland. Yes, another post about some of his claims (not him). Things had been quiet from Mr. Hoagland for several months, apparently because of his latest work, spending 4 months attempting to show that the Chinese lunar mission, Chang’e 3 (嫦娥三号), and its rover Yutu (Jade Rabbit, 玉兔), had found evidence of the same thing he thinks he sees in Apollo photographs (that was likely dirt on his scanner): Ancient glass towers on the horizon.

Where to start? What to address? His “paper” on the subject, which you can find at his “Enterprise Mission dot com” website (sorry, I’m not going to link), is massive. And has 136 markup errors and 23 warnings according to the W3C markup validation service. It is nearly 14,000 words long, Richard says it has over 100 photographs, and if I were to print it from Safari would come out at 86 pages.

That is a long way of saying there’s no way I’m going to even come close to addressing it all, or even try to. There’s even so much I could write about the specific topic I want to talk about – image noise and sensor non-uniformity – that I’m only going to be able to talk about in broad brushstrokes, but hopefully it’s understandable.

What I’m Not Talking About

Richard has been making the circuit of the late-night paranormal shows, podcasts, etc. Tonight he was on Jimmy Church’s show, the one I was on two weeks ago. I think that, given that I heard his Coast to Coast interview, his “The Unexplained” interview, and “Fade to Black” interview, I have a reasonable idea of his argument (keep in mind, that’s about 5.5 non-commercial-hours of listening to Richard talk about this, so forgive me for not reading another 13,700 words).

I’m not going to talk about his numerology:

  • 19.5° … anything.
  • Landed at 19.5° … LONGITUDE, not latitude.
  • Landed at 44°N which was a message to the 44th President … Obama.

I’m not going to talk about his conspiracy and symbolism:

  • Obama made some mention of carrot seeds in a gift to the Pope, which was a hidden message about the Jade Rabbit lunar rover.
  • All his previous NASA conspiracy stuff coming in.
  • Disclosure is going to happen within a few months (I seem to recall him saying 2010 was the Year of Disclosure and then in 2011 when being called on it (a rare instance of being called out), he said it was, we just hadn’t noticed it).
  • Brookings Report

I’m not going to discuss his pareidolia, since that doesn’t really play much a role in this set of claims (to the extent it does with grids, that will be discussed).

And so, of the four things that comprise the vast majority of Richard Hoagland’s claims (numerology, conspiracy, pareidolia, shoddy image analysis), it will be the image analysis that I will delve into.

Why not this other stuff? Why isn’t that as important? Because none of it is actual objective evidence for anything. It is supposition, ancillary to the claimed photographic evidence that I’ll be discussing in the rest of this post. Since the photography is the only (or the most) objective part, that’s what’s important to examine.

The Images (One of Them)

Here is the hallmark image that Richard has been sending to radio hosts. And I have included the original caption.

Richard Hoagland's Lunar Glass Towers from Chang'e 3

“Equalized version” of another official Chang’e-3 lunar surface image, revealing another set of the Moon’s startling “glittering glass towers” standing only a few miles northeast of the the Chang’e-3 landing site. Careful examination of the image will reveal an amazingly coherent geometry to these ancient, heavily meteor-eroded glass structures … including, the surface placement of the still-glowing “colored blue and red panels” appearing at these structures’ base and to the extreme right — apparently energized colored panels “embedded in the ancient glass.”


Ah, noise. Most of us are familiar with audio noise. Turn speakers on, when they’re not connected to anything else, and put the gain up all the way. You will hear static. That’s random electrons being picked up by the circuitry and being amplified as, literally, noise.

The same thing happens with digital cameras. They work by converting photons (little packets of light) into energy, and recording how much energy is recorded. Some pixels are more sensitive than others. Some pixels are always on, some are always off. Usually, because of the manufacturing process, it’s entire rows and/or columns of pixels that will be slightly more sensitive than others. And there’s the statistical fluctuations that have to do with counting statistics.

When cameras get warm, the molecules have more energy (definition of heat), and are more likely to randomly emit an electron that will be recorded … as in, noise. That is why professional – and even enthusiast – astronomy CCDs are cooled, sometimes with liquid nitrogen. It reduces the noise. If your sensor is unevenly heated, that can cause uneven noise across it (more noise where it’s warmer). Just a degree temperature difference will do it.

All of those mean that ANY digital detector will have noise – I don’t care how good it is, how much you paid for it, how many pixels it has, if it’s color or B&W … whatever about it – it will have noise. The fact that it has a temperature above absolute zero means it will have noise.

Here is an excellent tutorial on image noise. If at this point you don’t know what I’m really talking about, please read it, or at least look at the images. There is a small link to a part 2 at the bottom. Going forward, I’m going to assume that you have a a reasonable grasp of noise. This is already a long post.

What Is “Equalization”?

“I just brightened up the images a little bit.” –RCH

This is a hallmark of much of Richard Hoagland’s types of claims. Brightening the image, increasing contrast, increasing saturation, etc.

Equalization itself can have innumerable types of algorithms, but the basic idea is this: Many photographs of a typical scene have a little bit of dark, a little bit of bright, and a lot in the middle. That’s not how you have to shoot a photo, but that’s typical (go to this post and look for “Histograms”). What Equalize does it want to put the same number of pixels at every brightness level.

So, in that example, it will move some of the slightly darker middle colors to be darker, and it will move slightly brighter middle colors lighter. That way, if your image has 256 pixels, and you’re in 8-bit mode so there are 256 levels of brightness, one pixel will have a brightness 0, one will have a brightness 1, one will have a brightness 2, and so on.

Inevitably, this has the effect of stretching at least some brightness levels in the image. More on that in a bit.

This can be good! You take a wedding photo and Equalize can help bring out detail in both the bride’s white dress and the groom’s black tux (if we’re talking about a Western-style heterosexual marriage). That’s because the image, as-shot, would have a lot of dark pixels and a lot of bright pixels, so Equalize will bring them more to the middle.

But this can also be bad or silly, as I show in the next section.

Stuart’s Example

Below is an image I took of the moon last year.

Example of Why Equalization Is Sometimes Stupid

An original image of the Moon showing what happens when you “Equalize” blackness and the structure of noise.

The top image shows my nice, well-exposed photograph of the moon.

Then I saved the image as a JPG. The middle row shows what happened when I pressed Photoshop’s “Equalization” option. The left column is from the original image, before I saved it. The right column shows what happened when I pressed Equalize on the JPG-saved image. The bottom row is what happened after I converted both to greyscale, just for completeness.

So, what is this showing? Noise! (The pixel noise I talked about before and the JPG compression artifacts, though I’m not going to talk about those JPG artifacts in this post.) As I talked about above, different rows and columns of pixels are very slightly more or less sensitive than others. It doesn’t matter how good your sensor is, it will still have imperfections.

Since this particular sensor is three-color (RGB pixels), then different rows and columns of colors have different sensitivities, hence the red/pink checkerboard feature. The green pixels in this sensor apparently had better noise properties than the red and blue.

Notice also that it’s brighter around the moon. As if it’s surrounded by tall glass structures! After all, all of this stuff is showing perfect rectalinear geometry.

But why did I say that using equalization on this is silly? It’s because it is. The moon was surrounded by black sky. If you go to the original image on my computer (please don’t hack me), the pixel values – the number of photons recorded – scaled between 0 and 255, is 0-2 in that dark area. That, dear reader, is noise.

What about close to the moon? It raises to 8-20. (The Moon itself is 150-230.) The 8-20 pixel brightnesses are both noise AND, more importantly in this case, scattered light. This gets to another thing about optics: I don’t care how good your optics are, what kind of special coatings it has … unless you are in a clean room with ZERO dust, and perhaps using the clearest of crystals as your optics, your optics are not perfect and they will scatter light. Meaning the light won’t just pass through as it should, a few photons will be deflected and go somewhere else.

What that means for this case is that the moon is a bright circle on this image. A few of those photons are going to scatter within the optics of my camera and the probably 15 different pieces of glass that form the lenses. Probably, they won’t scatter far. That’s why right next to the moon, it’s 8-20 photons. But just 10% of the image away, we’re back at the background level of 0-2.

This all gets back to Richard’s images. I can’t figure out exactly which image Richard used as his main one, but another he uses comes from here, the bottom one with the caption 嫦娥三号着陆器地形地貌相机拍摄的“玉兔”号月球车照片。(Chang’e 3 lander topography camera “rabbit” No. rover photos. –via Google Translate).

Here’s how Richard presents it:

RCH's Processing of a Chang'e 3 Image

There — from the institution which forms the foundation of China’s very 21st Century existence–
Was the ghostly … repetitive … glistening glass geometry of “an ancient, Mare Imbrium dome …”–
With the official “Chinese People’s Liberation Army” logo plastered right on top of it (below)!

When I look at the image, the pixel values in the sky on the left half are 0-5. The right half is 5-10. The lunar features being around 100-250. It’s the same on a higher-resolution image that “Dee” found and posted over on Expat’s Dork Mission blog. Again, noise. And, I think some scattered light.

The moon is dusty. And even if it weren’t, the scattered light in the right half makes sense, getting back-scatter from the sun coming from the right, scattered in all directions but a bit more back to the right, and into the camera lens on that side. Another explanation is that the right half of the sensor was very slightly warmer than the left half. That will also give you noise of this exact type.

And, if these are glass towers, one must also ask why they stop just above the horizon!? On Richard’s “Enhancement” via Equalization, he shows the lunar surface, and just above it is a black line, and then are his glass towers.

But back to Equalize, what happened? Well, about half the image is really dark, pixel brightness values between about 0 and 10. Half the image is middle to bright, with brightness values between about 100 and 255. Because Equalize demands that the same number of pixels be at every level of brightness, it has to make a lot of those dark pixels brighter. Since half-way between 0 and 255 is about 127, it barely has to do anything to the lunar surface part. It’ll make some of the pixels a little darker, and some of them a little brighter, but the most drastic change will be to the sky area because that’s half the image, and so that half the image now must be mapped instead from 0-10 brightness to about 0-127 brightness. (Since it’s a little less than half, it only gets mapped up to 90, but you get the idea.)

Richard Says it Could Be Noise, But It’s Not Because It’s Geometric and Not Below Horizon

Richard said words to that effect at about 9:04 PM on Jimmy’s radio program (just over 2 hrs into it). He said it could either be noise or glass structures. He said it’s not noise because it’s geometric and because it doesn’t show below the horizon (the surface of the moon).

I reject both of those as explanations for why it’s not noise. The geometry argument because of my example above with my image of the moon, and see that tutorial on banding noise. If he thinks that image noise is not geometric (the noise from the sensor and noise from JPG compression), he is either more ignorant or delusional than I thought or, well, not telling the truth. Sorry, it’s hard to listen to him for 3 hrs and write 2800 words and not get in a small ad hominem.

I reject the part about it not showing below the horizon as evidence it’s not noise because of … the numbers. Even Richard often says, “It’s about the numbers!” In this case, you are talking about pixel values of about 5-10 brightness. Let’s say that’s noise. Just give that to me for a moment. Now look at the actual lit part of the moon. Pixel values 100-250. Noise of 5-10 photons on top of 0 is HUGE. Noise of 5-10 photons on top of 100-250 is miniscule. In other words, I say that the noise is still there in the part below the horizon, you just don’t see it.

Again, I’ll refer to the tutorial I linked to, specifically the first two images. The top one shows the same noise level, but a large signal (like the lunar surface). The second one shows the same noise level, but a very small signal (like the sky, though I’d say there’s no signal, it’s all noise).

Other Relevant, Miscellaneous Statements

“The data are replicable” therefore the fact that he sees this in Apollo and the Chang’e 3 images means it’s real, it’s “stunning confirmation.”

Yes, it certainly does mean that image noise is real and banding noise is also a real type.

“The Chinese have gone to the Moon and sent back the message — ‘Hoagland was right.'”

This one in particular struck Expat from the Dork Mission blog. I kinda agree. I find it typical of a decent number of claims by conspiracists in general and (personally) I find it somewhat arrogant to think that THEY are the only ones who can decode these secret messages, and even that the encoders are speaking directly to them!

Other “Enterprise Mission scientists” agree with him.

That is not peer review, that is an echo chamber. There’s a reason that Richard Hoagland is making the circuit on the paranormal shows and not anything else with this stuff.

Since the images are still up on the various Chinese websites, even after Richard Hoagland’s disclosure last week, that means that they are admitting that this stuff is real.

No, it means that most of us laugh this off as not understanding anything about photographic noise. Those of us among the very small community of scientists who actually follow these kinds of topics.

Where Are These “Miles-High, Miles-Across” Features in Meter-Scale Orbital Photographs?

As with the lunar ziggurat saga, and even as Richard stated (just his example doesn’t qualify), science demands repetition of objective data. Richard has claimed that these features are massive, miles across and miles high and miles wide. The Lunar Reconnaissance Orbiter’s Narrow Angle Camera records images with pixel scales of around 0.5 meters. Wide-Angle Camera is ~60 meters per pixel. The Japanese Kaguya craft had a terrain camera that recorded images at ~10 meters per pixel. And that’s just in the last few years.

But, none of these craft show these features. Even Richard hasn’t pointed to any of these images that would allegedly show them.

And yet, Richard claims that they are shimmering, glittering, multi-colored, glassy … and miles across. Where are they in other imagery? Yes, you’re looking down from above, but glass refracts light (index of refraction is 1.5-2.0-ish) so we should see weird distortions. And, he says it glitters, so we should see specular reflections, especially off the parts that are “damaged” (as he put it) and haven’t been repaired yet by robots (which he said are there in the C2C interview).

So either they should be there in the other images, or they don’t exist. Or, massive conspiracy. *cough*

Final Thoughts

I wasn’t going to talk about this stuff. When I first listened to it on C2C last week, my almost knee-jerk response was, “This falls into the category of Not Even Wrong.” In other words, there is simply so little correct, so little grounding in reality, that (a) there’s no way to even start to address it all, and (b) there’s usually not any reason to.

As RationalWiki put it, a Not Even Wrong statement is not of the form “2 + 2 = 6,” but rather, “2 + zebra ÷ glockenspiel = homeopathy works!”

Then I saw how much press he was getting on these various shows. On “The Unexplained,” he made a comment to the effect that he can reach 2% of the population (US population? world population?) “without breaking a sweat.” And he’s right. Or at least close to it. If the audience numbers that I’ve heard reported for these various shows are correct, he’s probably easily reached over a million listeners at this point, or 1/3 of a percent of the US population.

I don’t believe for a Plank time that all those people believe what Richard says. I also, honestly, don’t think it’s incredibly important whether they do or not. But, the credulity that even entertaining this kind of “analysis” fosters transfers into other fields. Like medicine. Or believing in a soon-to-be apocalypse. And there, your choices, your belief in various “alternative” views, can kill you. Or, in cases of psychics, astrologers, and others, they can bankrupt you.

October 5, 2013

Podcast Episode 88: Is Phobos Hollow?

Mars’ odd moon Phobos:
Is it hollow? Is it not?
Hoagland thinks he knows.

It’s a bit late (but back-dated), but as I ‘splained, I was co-leading a field trip to Yellowstone National Park. And then the government shut down. This episode is near the classic style with a basic dissection of the claim and the claimed evidence for Phobos being hollow.

The episode also has Q&A and feedback. The next episode has already been recorded and is an interview with Robin Canup about lunar formation models (she even has her own Wikipedia page!!!)

The episode after that is slated to be about the claim that alleged UFO-contactee Billy Meier knew about Jupiter’s rings before scientists did. I expect the comments on that post might fill up, but I’ll note now that NONE will be allowed through on this post unless someone has a suggestion for a puzzler on it.

July 1, 2013

Podcast #79: Was the “John Carter” Movie a Leak by Those “In the Know?”

John Carter of Mars
And Richard C. Hoagland: An
Int’resting combo.

This episode is around a half hour long and it’s one I’ve been wanting to do for awhile; now, I’ve finally gotten it out. Richard Hoagland says a lot of crazy things — let’s just get that out there. I think very few would disagree with that statement. He’s supported some more insane things over the years, such as Judy Wood’s claim that the Twin Towers were hit by a particle energy weapon. He’s supported some rather sane things over the years, such as the moon landings were real.

The topic for this podcast episode falls into the former category: The movie, “John Carter,” was a leak by those “in the know” who are speaking directly to him and others “in the know” that this is really what Mars was like. Yup, that’s right — Mars in ancient times was as depicted in the John Carter movie, complete with hunky, shirtless men. And the Ninth Ray, AKA Richard’s hyperdimensional torsion physics.

There’s also both a puzzler, Q&A, and correction from last episode. And to repeat the announcement from the last two episodes:

If you’re going to TAM, I’m planning another li’l get-together, probably Saturday night around 7:45-9:00 (now with times!!), in a suite in the hotel. There are now more than 2-3 people who’ve responded, but under 10, so there’s still plenty of room. I’m going to try to record it and the hope is for it to be sorta a Q&A and/or discussion or something like that about the general topics of the show. You can tell this is incredibly well planned at the moment. IF you’re at all interested, send me an e-mail so I can give you updates.

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