by Albert Anthony D. Gavino
All this trending hype on the 60-30-10, is just simple math, there is no conspiracy theory to it from a viewpoint of math and statistics, of course there will be variability from precinct to precinct.
things that you should consider before making your conclusions
1. Provide Statistical Power Analysis Estimates like Sample Power
A simple explanation from the Indiana University website says that "statistical power analysis estimates the power of the test to detect a meaningful effect, given sample size, test size (significance level), and standardized effect size."
Sample power software are tools that we can show the general readers that statistics can prove certain accuracy over COMELEC results, by providing COMELEC data from each precinct. (No I wont do that since that would be tedious to do, but a team of individuals may likely do so)
2. Show the Data sheet
By a few margin, computing by means of excel you would probably be getting the same results, yes its close to 60-30-10, If you would get all the total votes. Its just pure math, not based on conspiracy theories.
3. Compare your results by comparing it to the top 12 Senatoriables
Results show that 80 percent in the top 12 came from the PNOY party list while only 20 percent came from the opposition (UNA).
4. Plan for future research
Purugganan says that there is much that we can learn from Comelec's election data."In all this furor, I think political analysts are missing something important: that, while votes for individual senators may be different in different regions, the country may be pretty much coalesced into clear pro- and anti-administration voting blocs. This may actually mean that we do have such a thing as national parties that voters across the country vote for," he said
By going through these statistics, party lists have become an important variable in predicting who is most probable to go into the Senatorial top 12. Other factors also have to be considered like the impact of Positive Brand Family Names like BINAY and POE.
All this trending hype on the 60-30-10, is just simple math, there is no conspiracy theory to it from a viewpoint of math and statistics, of course there will be variability from precinct to precinct.
things that you should consider before making your conclusions
1. Provide Statistical Power Analysis Estimates like Sample Power
A simple explanation from the Indiana University website says that "statistical power analysis estimates the power of the test to detect a meaningful effect, given sample size, test size (significance level), and standardized effect size."
 |
| Sample Power used for Two sample proportions, two tailed with alpha at 0.10 |
2. Show the Data sheet
| NAME | PARTY LIST | TOTAL | % |
| HONTIVEROS, RISA (AKBAYAN) | INDEPENDENT | 8900861 | 3.73% |
| HAGEDORN, ED | INDEPENDENT | 6876841 | 2.88% |
| VILLANUEVA, BRO.EDDIE (BP) | INDEPENDENT | 5603663 | 2.35% |
| CASIÑO, TEDDY (MKB) | INDEPENDENT | 3491581 | 1.46% |
| DELOS REYES, JC (KPTRAN) | INDEPENDENT | 988795 | 0.41% |
| ALCANTARA, SAMSON (SJS) | INDEPENDENT | 957212 | 0.40% |
| BELGICA, GRECO (DPP) | INDEPENDENT | 898719 | 0.38% |
| PENSON, RICARDO | INDEPENDENT | 825149 | 0.35% |
| DAVID, LITO (KPTRAN) | INDEPENDENT | 821033 | 0.34% |
| MONTAÑO, MON | INDEPENDENT | 777484 | 0.33% |
| LLASOS, MARWIL (KPTRAN) | INDEPENDENT | 564291 | 0.24% |
| SEÑERES, CHRISTIAN (DPP) | INDEPENDENT | 561041 | 0.23% |
| FALCONE, BAL (DPP) | INDEPENDENT | 516863 | 0.22% |
| POE, GRACE | PNOY | 16340333 | 6.84% |
| LEGARDA, LOREN (NPC) | PNOY | 14942824 | 6.26% |
| ESCUDERO, CHIZ | PNOY | 14137127 | 5.92% |
| CAYETANO, ALAN PETER (NP) | PNOY | 14129783 | 5.92% |
| ANGARA, EDGARDO (LDP) | PNOY | 12853305 | 5.38% |
| AQUINO, BENIGNO BAM (LP) | PNOY | 12376372 | 5.18% |
| PIMENTEL, KOKO (PDP) | PNOY | 11846088 | 4.96% |
| TRILLANES, ANTONIO IV (NP) | PNOY | 11389173 | 4.77% |
| VILLAR, CYNTHIA HANEPBUHAY (NP) | PNOY | 11070265 | 4.64% |
| ENRILE, JUAN PONCE JR.(NPC) | PNOY | 9167583 | 3.84% |
| MAGSAYSAY, RAMON JR. (LP) | PNOY | 9153842 | 3.83% |
| MADRIGAL, JAMBY (LP) | PNOY | 5409440 | 2.26% |
| BINAY, NANCY (UNA) | UNA | 13310851 | 5.57% |
| EJERCITO ESTRADA, JV (UNA) | UNA | 11010630 | 4.61% |
| HONASAN, GRINGO (UNA) | UNA | 10620981 | 4.45% |
| GORDON, DICK (UNA) | UNA | 10160019 | 4.25% |
| ZUBIRI, MIGZ (UNA) | UNA | 9490215 | 3.97% |
| MAGSAYSAY, MITOS (UNA) | UNA | 4484515 | 1.88% |
| MACEDA, MANONG ERNIE (UNA) | UNA | 2746359 | 1.15% |
| COJUANGCO, TINGTING (UNA) | UNA | 2405682 | 1.01% |
| 238828920 | 100.01% | ||
| INDEPENDENT | 31783533 | 13% | |
| PNOY | 142816135 | 60% | |
| UNA | 64229252 | 27% | |
| 238828920 | 1 |
By a few margin, computing by means of excel you would probably be getting the same results, yes its close to 60-30-10, If you would get all the total votes. Its just pure math, not based on conspiracy theories.
3. Compare your results by comparing it to the top 12 Senatoriables
| NAME | PARTY LIST | TOTAL VOTES |
| POE, GRACE | PNOY | 16,340,333 |
| LEGARDA, LOREN (NPC) | PNOY | 14,942,824 |
| ESCUDERO, CHIZ | PNOY | 14,137,127 |
| CAYETANO, ALAN PETER (NP) | PNOY | 14,129,783 |
| BINAY, NANCY (UNA) | UNA | 13,310,851 |
| ANGARA, EDGARDO (LDP) | PNOY | 12,853,305 |
| AQUINO, BENIGNO BAM (LP) | PNOY | 12,376,372 |
| PIMENTEL, KOKO (PDP) | PNOY | 11,846,088 |
| TRILLANES, ANTONIO IV (NP) | PNOY | 11,389,173 |
| VILLAR, CYNTHIA HANEPBUHAY (NP) | PNOY | 11,070,265 |
| EJERCITO ESTRADA, JV (UNA) | UNA | 11,010,630 |
| HONASAN, GRINGO (UNA) | UNA | 10,620,981 |
| PNOY | 121,325,856 | 79% |
| UNA | 32,701,876 | 21% |
| 154,027,732 | 100% |
Results show that 80 percent in the top 12 came from the PNOY party list while only 20 percent came from the opposition (UNA).
4. Plan for future research
Purugganan says that there is much that we can learn from Comelec's election data."In all this furor, I think political analysts are missing something important: that, while votes for individual senators may be different in different regions, the country may be pretty much coalesced into clear pro- and anti-administration voting blocs. This may actually mean that we do have such a thing as national parties that voters across the country vote for," he said
By going through these statistics, party lists have become an important variable in predicting who is most probable to go into the Senatorial top 12. Other factors also have to be considered like the impact of Positive Brand Family Names like BINAY and POE.
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