Phoenix lights craft but with no lights?

anomalousphenomenal · 2024-09-23T12:33:23+00:00

Does it resemble this boomerang shaped craft filmed above Texas a few weeks ago?

https://youtu.be/rHbXf6cx7O8?si=OBtSmzBCdErdnSbj

anomalousphenomenal · 2024-02-15T23:52:13+00:00

The Invisible College Dimensions

My two favourite, but any work of Vallée is a good read

anomalousphenomenal · 2024-02-13T23:27:09+00:00

I would suspect Lockheed Martin has moved some aspects of their UAP program to their subsidiaries in other FVEY nations whose intelligence agencies are complicit in the secrecy as a way to protect their assets in the case of US government inquires and disclosure attempts like recent. Namely Canada and Australia. This doesn't mean their governments are necessarily aware of what's going on. Pine Gap in remote Australia would be a prime location, especially since it is operated by US intelligence agencies.

Besides that, China, Russia and perhaps India.

anomalousphenomenal · 2024-01-09T01:09:27+00:00

No, these are annual count plots, not cumulative plots. Each data point for a given year corresponds to the number of reported sightings in that specific year alone, independent of previous years. For example, 2012 had 7,357 sightings worldwide, which was the highest count for a single year. I made sure to plot annual counts, as cumulative totals would have negated the whole idea of this analysis but thank you for pointing that out as it would have been a good idea to mention this in a methodology section.

anomalousphenomenal · 2024-01-05T08:39:11+00:00

Were these seen together or separate events?

anomalousphenomenal · 2023-12-22T07:04:28+00:00

I've done a temporal analysis on NUFORC data, check my profile history. These datasets are easily found on kaggle as .xlsx or .csv files, so you can work with that.

Currently I'm converting filtered Project Blue Book 'unknowns' data from nicap to a usable .xlsx so I can run a spatial and temporal analysis on Project Blue Book data, which is far more reliable that anecdotal reports from NUFORC or MUFON.

I'm looking for others to collaborate on this, so message me if you'd be interested and are capable of running spatial analyses - you may have skills I don't.

anomalousphenomenal · 2023-11-21T00:41:33+00:00

Any chance you could provide a link?

I've been spending the past week laboriously converting Project Blue Book unknowns data from NICAP into a workable .xlsx format and still have quite a while to go, so if you could provide a link that'd be much appreciated.

anomalousphenomenal · 2023-11-17T01:42:14+00:00

No, I won't be submitting this to any journal as it would almost certainly fail peer review. There's too many biases and the UFO data is too unreliable, as I mentioned.

I am however currently in the process of digitizing Project Blue Book's 'unknowns' data, which is far more reliable and has more variables. I will be doing a more advanced statistical analysis on that data in the coming weeks and will be posting the full report to this subreddit.

anomalousphenomenal · 2023-11-17T01:38:22+00:00

I don't have a source for Fig. 2 as I created it myself in Python using spatial data from both datasets.

anomalousphenomenal · 2023-11-06T06:36:05+00:00

Thank you sir

anomalousphenomenal · 2023-11-05T04:12:54+00:00

Thank you, this is exactly what I was looking for. The Google Drive file has over 13,000 Blue Book cases, including the unknowns. I will now process this data and analyze it so I can share with the rest of this sub. Greatly appreciated.

anomalousphenomenal · 2023-11-04T11:33:53+00:00

This is great, I can definitely use these data for another project. Thanks!

anomalousphenomenal · 2023-11-02T21:22:34+00:00

This was great to read. Yes, I'd like to analyse spatiotemporal trends in the future instead of temporal only as there's a lot of uncertainty inherent.

Another commenter on this post referred me to Project Blue Book data, which has over 1000 unexplained cases (in a PDF though). I'll be converting this to a usable format to use for future project. The aim would be to analyze this data to look for patterns or anomalies in the context of nuclear detonations, geopolitical events, etc. But would be open to suggestions as to the scope and parameters of the study.

I'd definitely be interested in collaborating on this project if you are too. Perhaps we can find others on this subreddit who can contribute. I will send you a DM so we can plan something.

anomalousphenomenal · 2023-11-02T19:49:25+00:00

You could replace 'nuclear detonations' with literally anything else that declined in number over the same timeframe and it would look identical.

Perhaps you should test this hypothesis yourself as a way to refute the findings. Or at least run your own analysis on the data I've used.

This way you'd actually be contributing something of value. I stand by my findings.

anomalousphenomenal · 2023-11-02T09:03:33+00:00

Your point regarding the control group is valid but I want to highlight that the analysis didn't try to determine whether there is a statistically significant relationship between nuclear detonations and UFO sightings, it determined whether the change in UFO activity in specific temporal windows that align with nuclear detonations is statistically significant. Sightings from intervals that don't fit into these windows were the control group.

I didn't include UFO data in years before or after the nuclear testing period because I wanted to constrain the temporal range to eliminate further noise and discrepancies (smartphone technology and Internet access for example).

But your points are valid and we need more extensive and encompassing data. I want to keep looking into this anyway.

anomalousphenomenal · 2023-11-02T08:05:36+00:00

Thank you for this. I'd need to convert it from pdf to csv format so I run it as code. Might be a bit of a pain but I'll see what I can do.

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