To reverse the direction of a model train you can use two main options.
This video link shows is the simplest option and least expensive option. Watch the video and it saves me drawing.
You need two points or turnouts, here we use two RH ones.
Both are connected to the main loop. The top points accepts the train coming in clockwise direction. Our aim is to get the train to come out traversing counterclockwise. Thus the points need to be set, firstly to take the train off and then to allow the train to move back onto the main track.
Both points are connected with a separate track, its length and shape depends on dimensions of your layout.
This section of track needs to be isolated with its own power. I have placed the isolation sections at the end of each point to the connecting track.
The polarity of this isolated track will match that of the incoming train.
As the train enters the isolated section you need to switch the polarity of the outer track in this video to counterclockwise wise. The train will then travers the point and move back onto the outer track in the opposite direction.
The two most interesting visualization are the wordclouds of three words phrases. Biden’s is first and then Trump’s.
Sentiment analysis showed only minor differences. However, the wordcloud’s show very different focus for both. Biden’s is characterised by more positive statements about issues and the need to defeat Trump. Trump’s on the other hand shows a strong focus on his slogans e.g. Corrupt Joe Biden.
The covid-19 death rate in the US is shown to have a statistically significant difference between between Afro-American (AA) and White populations. The graph below shows the AA proportion difference compared to the W proportion below the x=0 line. There is a clear difference across nearly all states.
The full outline, R program and data file are available at ameyenn/covid19
The PCA biplot confirms the difference. The vectors show a negative relationship between AA and W, AA is linked with the poverty vector as well. NY is the main outlier.
A basic cluster plot across all the data is shown below.
Welch Two Sample t-test
data: dt[, 1] and dt[, 2] t = 3.7143, df = 80.722, p-value = 0.0003739 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: 0.3026568 1.0010984 sample estimates: mean of x mean of y 2.688740 2.036862
Climategate – as I understand it this is about the statistical techniques (trick) used to compare data sources and to ‘hide the decline’ of tree ring data from trees in Siberia after 1960 which were not consistent with other worldwide data. There have been plenty of enquires which all clear scientists of wrongdoing.
I am concerned about the claim that climate science can move into activist territory and be biased – there needs to be evidence, is there hard evidence that this is preventing contrary views being expressed?
On this brief review, I can’t find any evidence of a hoax, I find disputes, attempts to set record straight and to explain, possible confusion, accusations etc. all of which are classic in a complex change process.