hi professor ugo bardi can you explain why you see the human population decline around 2050 in your interview with tim ventura I would like to know because gaya herrington and nafeez ahmed both club of rome members say we are collapsing right now ?
I don't know whether there is a real connection, but mean queues produced by random arrivals together with random service events exhibit a lag and their variance even more so. When the demand and service follow a Gaussian pattern, the mean graph, and even more the variance, peak later and decline more quickly. This also manifests as hysteresis. It may be simply because in the growth period the two 'forces' of inflow and outflow are in opposition but later they reinforce each other. An important effect of variance is that the probability distribution of queue size - I suppose the equivalent would be the strength of the 'empire' - can be bimodal towards the end, i.e. with a heavy tail, so some queues persist for no obvious reason.
True, but I think here we have a different phenomenon. It is explainable by dynamic models based on dissipation. For instance, here: https://www.mdpi.com/1996-1073/2/3/646
Dear Ugo, You may want to take a look at the PhD thesis of former marine, Major Ingo Piepers. The title is "On the Thermodynamics of War and Social Evolution." Last I checked it was freely available for download.
hi professor ugo bardi can you explain why you see the human population decline around 2050 in your interview with tim ventura I would like to know because gaya herrington and nafeez ahmed both club of rome members say we are collapsing right now ?
I don't know whether there is a real connection, but mean queues produced by random arrivals together with random service events exhibit a lag and their variance even more so. When the demand and service follow a Gaussian pattern, the mean graph, and even more the variance, peak later and decline more quickly. This also manifests as hysteresis. It may be simply because in the growth period the two 'forces' of inflow and outflow are in opposition but later they reinforce each other. An important effect of variance is that the probability distribution of queue size - I suppose the equivalent would be the strength of the 'empire' - can be bimodal towards the end, i.e. with a heavy tail, so some queues persist for no obvious reason.
True, but I think here we have a different phenomenon. It is explainable by dynamic models based on dissipation. For instance, here: https://www.mdpi.com/1996-1073/2/3/646
Dear Ugo, You may want to take a look at the PhD thesis of former marine, Major Ingo Piepers. The title is "On the Thermodynamics of War and Social Evolution." Last I checked it was freely available for download.
I think we are about to see this in Ukraine as well.
I didn't want to say that, but....